Category: Tutorials
- views: 53
- date: 21 October 2026
- posted by: 0nelove
Emotional Intelligence in Real Life: Respond, Don't React
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 31m | Size: 642.71 MB
Learn to Understand Your Emotions, Manage Triggers, Build Empathy and Handle Difficult Conversations
What you'll learn
Understand and manage your emotions more effectively
Identify your emotional triggers and reaction patterns
Stop reacting automatically and start responding intentionally
Regulate difficult emotions without suppressing them
Understand other people's perspectives without having to agree with them
Practise active listening that helps others feel understood
Communicate your feelings, needs, and requests more constructively
Handle difficult conversations and disagreements more effectively
Apply emotional intelligence to everyday life
Build a personal emotional intelligence practice
Requirements
No prior knowledge or experience in emotional intelligence is required. This course is suitable for anyone willing to reflect on their emotions, learn practical skills, and apply them to everyday life. All you need is an open mind and a willingness to practise.
Description
This course contains the use of artificial intelligence.
Have you ever reacted emotionally and later wished you had handled the situation differently? Or found it difficult to understand someone else's point of view during a disagreement?
Emotional Intelligence in Real Life is a practical course designed to help you understand your emotions, respond more thoughtfully, and communicate more constructively in everyday situations.
You will learn how to recognise your emotions, identify your triggers, and understand how your interpretations influence your reactions. Instead of reacting automatically, you will practise creating a pause, managing difficult feelings without suppressing them, and choosing how to respond.
Through practical frameworks, realistic scenarios, and guided exercises, you will also learn to see situations from different perspectives, listen without rushing to give advice, and express your feelings, needs, and requests more clearly.
Whether you face workplace pressure, family disagreements, relationship misunderstandings, or challenging interactions with others, this course offers practical tools you can begin applying in daily life.
You will explore the PAUSE process, a Trigger Map, perspective-taking techniques, active listening, and a simple structure for communicating concerns constructively.
The course also includes reflection activities and a practice plan to help you put your learning into action.
You do not need prior knowledge of emotional intelligence. Just bring an open mind and a willingness to practise.
Take the first step towards understanding yourself better, responding more intentionally, and building more constructive connections with others.
Who this course is for
Professionals and employees who want to manage workplace stress, handle criticism, and navigate difficult conversations more effectively.
Managers and team leaders who want to improve communication, listening, and understanding within their teams.
Customer service professionals who need to respond more constructively to frustrated or disrespectful customers.
Individuals who want to understand their emotional triggers and manage frustration, anger, anxiety, or other difficult emotions more effectively.
Couples, family members, and friends who want to navigate misunderstandings, disagreements, and emotionally challenging conversations with greater understanding.
Anyone who wants to develop emotional intelligence, strengthen self-awareness, and build healthier communication habits in everyday life.
Homepage
https://www.udemy.com/course/emotional-intelligence-in-real-life/https://rapidgator.net/file/122aa084e890cf7c79ce6aa6f1f1a450/Emotional_Intelligence_in_Real_Life_Respond,_Dont_React.rar.html
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Category: Tutorials
- views: 52
- date: 21 October 2026
- posted by: 0nelove
Empath's Empowerment: Energy, Boundaries and Self-Care
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 3h 7m | Size: 2.45 GB
Shift your energy, hold your boundaries, clear your space and recharge: practical tools for empaths and sensitive people
What you'll learn
Tell the difference between being empathetic, an empath and a highly sensitive person, and name your own gifts and challenges
Use the downshift and upshift practices to move your energy when you feel drained, overwhelmed or stuck
Recognize your blocks and your boundary style, and practice a boundary you can feel in your body
Clear your emotional field with water, solitude, journaling, grounding, movement and the RFR formula
Clear and protect your home and workspace with decluttering, salt, smudging, stones and essential oils
Recharge through the seven chakras and bring color into your day, with a guided visualization you can repeat
Requirements
No experience with energy work, meditation or chakras is needed. Everything is taught from the start.
A journal, a quiet place to practice, and about twenty minutes per lecture.
The workbook is a PDF to print or write on; a printer is handy but not required.
Description
You feel the room before anyone says a word. You know when a friend is not fine, you carry a stranger's bad day home, and some evenings you are drained for no reason you can name. That is not a flaw in you. It is a sensitivity most people do not have, and it can be learned like any other skill.
I'm Michal Spiegelman. For more than thirty years I have worked with women as a social worker, a life coach, a spiritual mentor and a Reiki master, and I am an empath myself. This course is what I teach the women who come to me drained and overwhelmed: a set of practices to notice what is yours and what is not, shift your own energy on purpose, hold a boundary you can feel in your body, clear what you have picked up, and recharge.
What's inside
- Seven lessons in 23 short lectures, about three hours in all, each with a practice you can do the same day
- A 40-page workbook to print or write on, with a page for every lesson
- Guided practices: good-vibe moments, upshift with movement, feeling your boundaries, the RFR formula, the chakra and color visualization
- The tools I use myself: water, solitude, journaling, grounding, decluttering, salt, smudging, stones, essential oils, color
Who it's for: empaths and highly sensitive people, and especially women in midlife who have built full, responsible lives, have done the reading and the therapy, and want something practical. You do not need any experience with energy work or chakras. Bring a journal and twenty minutes at a time.
What you'll have at the end: a clear picture of your own sensitivity, a short daily routine that keeps your energy yours, and a set of practices to return to whenever a room, a person or a week gets too loud.
This course is for personal growth and is not medical or psychological advice.
Who this course is for
Empaths and highly sensitive people who feel other people's moods in their own body and come home drained.
Women in midlife who have built full lives, done the reading and the therapy, and want practices that hold on a Tuesday afternoon.
Anyone who has been told they are "too sensitive" and is ready to treat that sensitivity as the strength it is.
It is a personal-growth course, not treatment: if you are looking for medical or psychological care, this is not a substitute for it.
Homepage
https://www.udemy.com/course/empaths-empowerment-course/
https://rapidgator.net/file/e71b0eea5e0d826fd22633721b68904a/Empaths_Empowerment_Energy,_Boundaries_and_Self-Care.part3.rar.html
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Category: Tutorials
- views: 40
- date: 21 October 2026
- posted by: 0nelove
Enterprise BA: Crisis to Continuity
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 29m | Size: 4.38 GB
Master a crisis playbook for any company: war room, emergency CAB, triage, comms and post-mortems, then apply it live
What you'll learn
Run a command center with an Incident Commander, clear roles, and separate technical and executive channels
Bypass red tape safely with an Emergency CAB, a quorum of three and a verbal audit trail
Triage a multi-system outage by business impact using SLAs, RTO, RPO and application tiers
Run crisis communications that build trust: update cadence, business-language translation, and Legal and PR gates
Lead a blameless post-mortem with the Five Whys and turn the findings into mandated fixes
Frame a rollback vs fix-forward decision and secure explicit executive sign-off
Design manual workarounds and draft procedures fast with AI, then verify them before anyone follows them
Validate a recovery and reconcile the data lost, using Jira and Confluence as your crisis workspace
Requirements
Basic familiarity with the business analyst role
No coding or technical background needed
Experience with Jira or Confluence is helpful but not required
Description
This course contains the use of artificial intelligence.
When a core system fails, the technology is rarely the first thing that breaks. The structure is. Forty people talk over each other on one bridge call, executives demand answers from the engineers fixing the problem, and nobody knows who is allowed to approve the fix. In a crisis, a business analyst brings order: coordinate, translate, document and help the business decide.
This course gives you a crisis playbook you can use at any company, then puts you inside a realistic simulation to see it applied. Learn the playbook, then watch it work.
Module 0: The Enterprise Crisis Playbook
Six short lessons, a welcome and five methods, independent of any company or scenario
- Command center: name an Incident Commander, assign roles, and split the technical and executive channels
- Emergency CAB: bypass red tape without bypassing accountability
- Triage: prioritize recovery with Service Level Agreements, RTO, RPO and application tiers
- Crisis communications: control the narrative without distracting the engineers
- Blameless post-mortem: fix systems, not people, with the Five Whys
Capstone Modules 1–4: The Simulation
A rushed security patch goes live at Boreal Clearing House Limited, a fictional company headquartered in New York with branches around the world. Four modules follow the incident from the first bridge call to the final report for the Board. You work alongside two Enterprise BAs, Victoria Chen and Prakash Rao, and a distributed team across the US, London, Bangalore and Chennai, applying the playbook step by step.
What you will learn
- Structure a crisis: turn a chaotic bridge into a command center with a Jira crisis epic and a Confluence decision log.
- Translate between technical and business: size the business impact, brief executives, and work with Legal and Corporate Communications.
- Work across time zones: run hand-offs, escalation paths and contact lists.
- Frame a high-stakes decision: build a rollback vs fix-forward matrix and secure explicit executive sign-off.
- Keep the business running: design manual workarounds, and draft procedures fast with AI and verify them before anyone follows them.
- Recover and verify: validate recovery and reconcile the data lost during the outage.
- Turn the crisis into process change: lead a blameless post-mortem and add an auditable emergency path to your workflow.
- Prove it and fund the fix: run business validation checklists, track corrective actions with owners and dates, and report to the executives in two pages.
How the course works
Each capstone module opens with an Agile team meeting and closes with a Sprint Review. Each lesson ends with a lesson learned: one practical takeaway you can apply in your own crisis. This is a practical, scenario-based course, not a tool tutorial. Jira and Confluence appear as the places where the crisis is managed.
All companies, people and events in the capstone are fictional and created for teaching.
About the instructor
Mo Kammoun is a healthcare IT and interoperability professional with more than 25 years of experience across telecom, pharma and healthcare. He has worked on many mission-critical enterprise projects for internal and external customers, leading and supporting distributed teams around the world. He teaches only what he has applied in real work.
Who this course is for
Business analysts working in large enterprises
Scrum Masters who also act as BAs
Aspiring enterprise BAs who want to see how the role works under pressure
Product owners and project managers who work alongside BAs on releases and incidents
Homepage
https://www.udemy.com/course/enterprise-ba-crisis-to-continuity/
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Category: Tutorials
- views: 40
- date: 21 October 2026
- posted by: 0nelove
Design Apps Faster in Figma, Deliver with Confidence
Nima Tahami | Duration: 7:11 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 1,71 GB | Language: English
As a product designer, your process and skills define the speed & quality of designs you deliver. Designing the "easy" way in Figma takes away precious time. This course helps you gain all the necessary skills and tools it offers to build an efficient design process and deliver high-quality designs that "Wow" your product team and end users while leveraging AI.
This course teaches product designers how to speed up their workflow in Figma while improving design quality. It covers building a design system from scratch, creating wireframes, using components, auto-layout, and variables, designing responsively for web and mobile, leveraging AI both inside and outside Figma, and building advanced prototypes with animations and variables. By the end, participants will have a complete mobile and web app design for their portfolio.
Here's what you'll walk away with by the end of this course:
• Putting together a design system from scratch
• Turning concepts into wireframes
• Structuring your designs using Components, Auto-layout, and Variables
• Creating responsive designs for web & mobile
• Leveraging AI (both inside Figma and out) to get more done faster
• Creating an advanced prototype using Animations and Variables
• A complete mobile & web app design that you can add to your portfolio
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Category: Tutorials
- views: 61
- date: 21 October 2026
- posted by: 0nelove
FIVERR: Fiverr Freelancing with AI
Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 25m | Size: 3.3 GB
Get Fiverr Clients & Scale Faster
What you'll learn
Build and optimize a Fiverr profile and high-converting gig from scratch.
Apply a proven Fiverr SEO process to research competitors, find high-value keywords, make your gigs visible, place them strategically, and rank on first-page.
Use AI and Canva to create compelling gig images, descriptions, profiles, and marketing assets faster.
Build a repeatable client-acquisition system beyond Fiverr using Google Search, Google Maps, Facebook, Instagram, Threads, X, and YouTube.
Create a simple financial management and growth system for your freelancing income so you can scale.
Learn how to turn Fiverr visitors into buyers
Learn how to use AI as a practical freelancing advantage - not just as a writing tool
Build a freelancing system that can grow beyond one-off Fiverr orders
Requirements
No prior knowledge of fiverr is required
Have skill or service you can sell to clients
You can access this course with any device
Description
With over six years of experience on Fiverr and thousands of dollars earned through freelancing, I've gained practical experience in navigating the freelance marketplace, researching competitors, optimising gigs for search visibility, acquiring clients, and delivering digital services to businesses and individuals.
My expertise spansFiverr freelancing, freelance SEO and keyword research, AI-assisted freelancing, website design, WordPress, real estate websites, Shopify and e-commerce, digital marketing, Meta and Google advertising, client acquisition, and online business development. I also explore how AI tools can help freelancers and entrepreneurs improve productivity, streamline workflows, create marketing assets, and deliver services more efficiently.
My approach is grounded in practical experience. I believe successful freelancing requires more than technical skills; it demands effective positioning, strategic thinking, marketing, communication, financial discipline, and the ability to create value for clients consistently. That's why I emphasise actionable lessons, step-by-step demonstrations, real-world examples, and strategies students can apply to their own businesses.
Alongside my professional work, I am pursuing a Master's degree in Strategic Leadership at Covenant University, deepening my understanding of leadership, organisational effectiveness, strategic thinking, decision-making, and sustainable business growth. I am particularly interested in applying these principles to entrepreneurship, business strategy, innovation, and leadership development.
My long-term vision is to combine digital expertise, entrepreneurship, and strategic leadership to build businesses, empower individuals, and create lasting impact.
As an instructor, my mission is simple:to make practical knowledge accessible, simplify complex processes, and help learners turn what they know into skills they can use to create real opportunities.
Whether you're beginning your freelancing journey, improving your digital marketing skills, building websites, exploring AI tools, or developing your entrepreneurial capabilities, I aim to provide practical guidance that helps you move forward with greater clarity and confidence.
Who this course is for
Complete beginners who want to start freelancing on Fiverr
New Fiverr sellers who have created a gig but are getting little or no visibility
Freelancers who get impressions or clicks but struggle to convert them into orders
Freelancers struggling to compete against established sellers
Freelancers who don't understand Fiverr SEO and keyword research
Freelancers who have tried Fiverr before but never gained consistent traction
Skilled professionals who have a service but don't know how to sell it online
Freelancers who want to use AI to gain a competitive advantage
Freelancers who want to create professional Fiverr gig images but don't have advanced design skills
Freelancers who don't want to depend entirely on Fiverr for clients
Freelancers who want to build a client-acquisition system instead of waiting for orders
Freelancers who want to turn occasional Fiverr income into a sustainable business
Students, graduates, employees, and career changers who want to start earning from a marketable skill online
Homepage
https://www.udemy.com/course/fiverr-fiverr-freelancing-with-ai/
https://rapidgator.net/file/46d5a1d23e32f415dbaf89fbf7fd7cf7/FIVERR_Fiverr_Freelancing_with_AI.part4.rar.html
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Category: Tutorials
- views: 46
- date: 21 October 2026
- posted by: 0nelove
Google Cloud Generative AI Leader Course
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 3h 6m | Size: 608.7 MB
Prepare for the Gen AI Leader exam: gen AI fundamentals, Gemini, Agent Platform, RAG, strategy, plus a 60-question exam
What you'll learn
Explain gen AI concepts in plain business language: foundation models, LLMs, tokens, embeddings, multimodal and diffusion models, and how they learn
Match business needs to Google Cloud offerings such as Gemini Enterprise, Gemini Notebook, Gemini in Workspace, and Agent Search
Know when to use Agent Platform, Model Garden, AutoML, Agent Studio, Google AI Studio, RAG Engine, and the Agent Development Kit
Improve model output by choosing correctly between prompt engineering, grounding, RAG, fine-tuning, sampling settings, and human in the loop
Plan a gen AI strategy: choose buy, configure, or build, drive adoption, measure impact with baselines, KPIs, and ROI, and control cost
Apply secure and responsible AI with SAIF, IAM, Security Command Center, Model Armor, privacy techniques, fairness, and transparency
Requirements
No technical background or coding experience is required. The exam and this course are designed for business and technical roles alike.
Curiosity about how generative AI creates value in organizations, and a willingness to practice with scenario questions.
A Google account is optional, but trying the Gemini app or Gemini Notebook while you study will make the concepts stick.
Description
This course contains the use of artificial intelligence.
Prepare for the Google Cloud Certified Generative AI Leader exam, and learn to make gen AI decisions you can defend in a boardroom.
Generative AI is now on every leadership agenda, but most of the hard questions aren't technical. Which problem is worth solving first? Should the company buy a ready-made tool, configure one, or build its own? Why is the assistant inventing policies, and is the fix a better prompt, grounding, or tuning? How do you prove the pilot worked, and how do you keep customer data safe? TheGoogle Cloud Generative AI Leader certification tests exactly these decisions, and this course teaches you to make them with confidence.
The course follows the official exam guide domain by domain. You'll learn what each concept and Google Cloud offering is, and more importantly, when it's the right choice and when it isn't. Throughout the course, you'll follow one realistic company,Fernhill Markets, a grocery chain with 140 stores, a delivery app, and about 9,000 customer care contacts a day. You'll see its leadership team pick its first use cases, discover that its data isn't ready, choose prebuilt offerings for staff, build a customer service journey, fix an assistant that made things up, and present a secure, responsible, measured launch plan to the board.
What makes this course different
-Built around the official exam guide. Every teaching section maps to one of the four exam domains, and time is spent in proportion to the domain weights. Google Cloud's gen AI offerings, the largest domain, gets the most time.
-Current product names. Google renamed many services in 2025 and 2026. The course uses the current names, such as Gemini Enterprise Agent Platform, Agent Studio, Agent Search, Gemini Enterprise, and Gemini Notebook, and teaches the older names you'll still see in study material, such as Vertex AI, Agentspace, and NotebookLM.
-Plain business language. No coding is required. Concepts are explained with business examples and clean diagrams, so you can explain them to executives and engineers alike.
-Exam-style reasoning throughout. Nearly every lecture ends with a check-yourself question, and each domain ends with practice scenarios that show how to find the goal and the constraint, and how to eliminate answers that sound right but don't fit.
-Practice included. A quiz after every section, five narrated practice sets with option-by-option explanations, and a full-length, 60-question practice test.
-About 3 hours 7 minutes of focused video (80 lectures), in short lectures with captions.
What you'll learn
Section 1: Welcome and orientation
The exam format, the four domains and their weights, the 2026 product renames you must recognize, a study plan, and an introduction to Fernhill Markets.
Section 2: Domain 1, Core gen AI concepts
- AI, machine learning, deep learning, and gen AI, and how they relate
- Foundation models, LLMs, tokens, transformers, and embeddings
- Multimodal and diffusion models
- Prompts, prompt engineering, and prompt tuning
- Supervised, unsupervised, and reinforcement learning
- The machine learning lifecycle and the Google Cloud tools for each stage
- Gen AI use cases, and choosing a foundation model for a business need
Section 3: Domain 1, Data, the gen AI landscape, and Google's models
- Data quality and accessibility, structured and unstructured data, and labeled and unlabeled data
- The five layers of the gen AI landscape
- Gemini, Gemma, Imagen, and Veo, and when each fits
Section 4: Domain 2, Google Cloud's strengths and prebuilt offerings
- Google's AI-first approach, enterprise-ready platform, open ecosystem, and AI-optimized infrastructure
- Control over your data, and democratizing AI
- The Gemini app and Gems, Gemini Enterprise, Gemini Notebook, and Gemini for Google Workspace and Google Cloud
Section 5: Domain 2, Customer experience, Agent Platform, and agents
- Agent Search and Google Search grounding
- The Customer Engagement Suite: virtual agents, Agent Assist, and conversation insights
- Gemini Enterprise Agent Platform, Model Garden, AutoML, and Agent Studio versus Google AI Studio
- Google Cloud's RAG offerings, from prebuilt to fully custom
- What agents are, agent tooling, pre-built AI APIs, custom agents, and AI at the edge
Section 6: Domain 3, Techniques to improve model output
- Foundation model limitations: hallucinations, knowledge cutoff, bias, and edge cases
- Google's recommended fixes, and when to prompt, ground, tune, or add human review
- Monitoring and managing models over time
- Prompt engineering, chain-of-thought, ReAct, and metaprompting
- Grounding, how RAG works, and sampling parameters such as temperature and top-p
Section 7: Domain 4, Business strategies for gen AI
- Types of gen AI solutions, and the needs and resources that shape them
- Choosing between buy, configure, and build
- Integrating gen AI with a top-down and bottom-up strategy, and managing change
- Measuring impact with baselines, KPIs, and ROI, and understanding what drives cost
- Secure AI across the ML lifecycle, Google's Secure AI Framework (SAIF), and Google Cloud security tools
- Responsible AI: transparency, privacy, anonymization and pseudonymization, bias, fairness, accountability, and explainability
Section 8: Exam readiness
An exam strategy for scenario questions, final reviews of every domain, and five narrated practice sets of ten questions each, with the reasoning behind every option.
Practice that mirrors the exam
Each section ends with a short quiz. The course closes with afull-length, 60-question practice test that follows the official domain weighting and mixes multiple-choice and multiple-select questions. Every question explains each option, names the trap it tests, and links to official Google documentation.
Want more practice? My companion course,Google Cloud Generative AI Leader: 6 Practice Exams 2025, adds 300 more exam-style questions across six full-length practice exams, each with detailed explanations. It's the ideal next step once you've finished this course and want to test your readiness under exam conditions.
How to use this course to pass
-Watch the sections in order. The Fernhill Markets story builds from section to section.
-Answer every check-yourself question before the answer is revealed.
-Take each section quiz right away, and rewatch the related lectures if you score below 75%.
-Pause during the practice sets, commit to an answer, then listen to why each option is right or wrong.
-Take the full practice test under timed conditions in your final week, then read every explanation.
Who this course is for
This course is designed for anyone preparing for the Generative AI Leader certification: managers, executives, product owners, consultants, and sales and pre-sales professionals, as well as technical people who want the business view. No coding or machine learning background is needed.
How the course is built
Lectures are short and focused, typically two to five minutes, so you can study in small blocks. Concept lectures explain what an idea or offering is and when to choose it. Case study lectures apply those choices to Fernhill Markets, and practice-scenario lectures give you exam-style questions with the reasoning behind each answer. All content, examples, and questions are original and checked against the current exam guide and Google Cloud documentation.
About the exam
At the time of recording, the exam has 50 to 60 multiple-choice and multiple-select questions in 90 minutes, costs $99, and is valid for three years. It's offered online or at a test center in several languages, and there are no prerequisites. Exam details can change, so confirm the current format and price on the official Google Cloud certification page before you book.
Enroll now and build the judgment to pass the Generative AI Leader exam and lead gen AI decisions at work.
This course is not affiliated with, endorsed by, or sponsored by Google LLC. Google Cloud, Gemini, and related marks are trademarks of Google LLC.
Who this course is for
Professionals preparing for the Google Cloud Certified Generative AI Leader exam
Managers, executives, and product owners who make decisions about gen AI investments and adoption
Consultants, sales, and pre-sales teams who advise customers on Google Cloud's gen AI offerings
Anyone who wants a structured, non-technical understanding of gen AI and Google Cloud's AI portfolio
Homepage
https://www.udemy.com/course/google-cloud-generative-ai-leader-course/https://rapidgator.net/file/6a73aa9680a9c655a9049317cdc20d12/Google_Cloud_Generative_AI_Leader_Course.rar.html
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Category: Tutorials
- views: 30
- date: 21 October 2026
- posted by: 0nelove
BJJ Fanatics - Heel Hook The World: The Complete Beginners Guide
Heath Pedigo, Jacob Couch | Duration: 2:06 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | Size: 3,46 GB | Language: English
Master the modern heel hook game with BJJ experts, Heath Pedigo and Jacob Couch! Learn entries, controls, finishing variations & more. Elevate your leg lock game today!
Heel Hook The World With Heath Pedigo and Jacob Couch's COMPLETE Guide To All-Aspects Of The Modern Heel Hook Game Including Entries, Essential Controls, Finishing Variations, and MORE!
• Heath Pedigo and Jacob Couch provide a complete beginner's guide on heel hooks and many other aspects of today's modern leg lock game.
• Regardless of your experience level, whether you are just starting out or only trained in the Gi for 20 years, Heath and Jacob have a battle-tested system that is perfect for getting up-to-date with modern leg locks!
• Develop a deep understanding of attachments including entries into leg entanglements, how to maintain tight grips with both upper/lower body controls, obtaining finishing grips, and more.
• Troubleshoot problems in real-time as the crew answers common questions and issues that you will run into for each section of the instructional.
• Gain a systematic insight into how to finish the heel hook from a variety of positions and situations.
• Whether you are just starting out, or you are someone who has had limited exposure to leg locks, Heel Hook The World has you covered!
https://www.uploadcloud.pro/o8pj34q4kf41/Heel_Hook_The_World.part2.rar.html
https://www.uploadcloud.pro/4ud2qj69t75n/Heel_Hook_The_World.part1.rar.html
https://rapidgator.net/file/d7e12e946662af4b86375735d0001f2e/Heel_Hook_The_World.part2.rar.html
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https://nitroflare.com/view/5CA74AD011C1263/Heel_Hook_The_World.part1.rar
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Category: Tutorials
- views: 32
- date: 21 October 2026
- posted by: 0nelove
How to Build the CFPE Practicum: A Step-by-Step Method
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 34m | Size: 172.05 MB
A method for the CFPE practicum: the scoring, your proctor, all ten activities, the written reports and the submission.
What you'll learn
Explain how the CFPE practicum is built: ten activities from NFPA 1030 Chapter 8, a proctor, four steps and a twelve-month deadline.
Read the practicum rubric and see what moves a criterion from meeting to exceeding expectations.
Choose a suitable proctor, and work out which plans, documents or proceedings each activity needs before you start writing.
Approach each of the ten activities knowing what it asks for, what the rubric rewards and the mistakes that cost points.
Structure a formal written report with findings, clause-level recommendations and a conclusion that matches them.
Submit a complete workbook: affidavit, proctor verifications, valid signatures and attachments, inside the deadline.
Requirements
The current CFPE practicum workbook, downloaded from the NFPA website. The course does not include NFPA text.
You are preparing for the CFPE exam, or have passed it, and are about to start the practicum.
Working knowledge of fire protection plan review. No prior practicum experience is needed.
Description
This course contains the use of artificial intelligence.
Narration uses an AI voice cloned from the instructor's own voice; animations are code-generated with AI assistance; all technical content is written and checked by the instructor.
The CFPE, the Certified Fire Plans Examiner, has two phases: a cognitive exam, then the practicum. The practicum is ten activities from Chapter 8 of NFPA 1030, based on the real job of a fire plans examiner, each one checked and signed by a proctor, all within twelve months. This course is about that second phase. It gives you a method for building your practicum one activity at a time.
First, you will see how the practicum is built and how it is scored, criterion by criterion. Second, how to choose your proctor, and how to plan and source your own evidence before you write a word: which activities need plans, which need a legal proceeding, and which need none. Third, all ten activities, one lecture each: what the activity asks for, what the rubric rewards, and the mistakes that cost points. Fourth, the formal written reports, and the submission: the affidavit, the proctor verifications, the signatures and the deadline.
This course does not give you answers. There are no model answers, no sample checklists and no filled workbook pages, including the instructor's own. NFPA requires your own work, and the penalty for copying can reach every NFPA certification you hold. Section 2 shows you exactly where that line is.
The lectures are short, and each section ends with a short quiz. Keep the current practicum workbook open as you watch; download it from the NFPA website, because NFPA updated this certification in 2025.
Every requirement cited in the lectures was checked against the NFPA practicum documents named on screen, and every lecture was reviewed and approved by the instructor before release. The lectures describe the requirements in plain words. They do not reproduce NFPA text, so you will need your own copy of the practicum workbook.
About the instructor: Hussein Ragab is a Chartered Engineer, a member of CIBSE, a member of ASHRAE and a Certified Fire Protection Specialist, with 14 years of MEP design in the UAE. He has been through the CFPE practicum himself, from finding a proctor to the final upload.
This course is independent. It is not affiliated with, endorsed by or sponsored by the National Fire Protection Association (NFPA). CFPE and NFPA 1030 are trademarks of the NFPA. Always confirm requirements against the current version of the practicum workbook.
Who this course is for
CFPE candidates who are about to start, or are part way through, the practicum.
Fire protection engineers, plans examiners and inspectors who want a clear plan for the ten activities before they begin.
Candidates who want to stay on the right side of NFPA's own-work rule while still working efficiently.
Homepage
https://www.udemy.com/course/how-to-build-the-cfpe-practicum-a-step-by-step-method/
https://rapidgator.net/file/948a1f747c53f67639d60eb991ef4282/How_to_Build_the_CFPE_Practicum_A_Step-by-Step_Method.rar.html
https://nitroflare.com/view/6A97762175FF80B/How_to_Build_the_CFPE_Practicum_A_Step-by-Step_Method.rar
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Category: Tutorials
- views: 21
- date: 21 October 2026
- posted by: 0nelove
Machine Learning for Cybersecurity: AI Threat Detection
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 44m | Size: 1.47 GB
Build dual ML models (Isolation Forest & Random Forest), a SOC risk engine, FastAPI REST API, and Streamlit dashboard
What you'll learn
Machine Learning for Cybersecurity: Build AI Threat Detection
Build an end-to-end, production-grade defensive cybersecurity threat detection system in Python from scratch
Train an Isolation Forest exclusively on benign network telemetry to detect novel zero-day attacks without contamination leakage
Train and evaluate a Random Forest classifier on labeled attack patterns (brute force, crypto mining, data exfiltration)
Build an interactive Security Operations Center (SOC) monitoring dashboard in Streamlit featuring real-time KPI metrics and severity triage filters
Verify pipeline integrity with a rigorous 41-test master pytest suite running against real trained models and golden attack fixtures
Requirements
Basic Python Familiarity
Zero Prior Machine Learning or Cybersecurity Knowledge Required
A Standard Computer (Windows, macOS, or Linux)
Description
This course contains the use of artificial intelligence.
Traditional static firewall rules break the moment an attacker changes a single port or byte, flooding Security Operations Center (SOC) teams with thousands of false alarms. In this hands-on course, you will build, test, and deploy a complete, end-to-end Machine Learning Threat Detection and Intrusion Detection System from scratch in Python.
You will engineer a production-grade security pipeline using Python, scikit-learn, FastAPI, Pydantic, Streamlit, and pytest that runs 100% locally on any standard computer
- Zero-Leakage Telemetry Preprocessing: Generate reproducible enterprise host and network logs and scale 6 core security features (CPU, Memory, Network Bytes, Logins, File Writes, and Connections) using a StandardScaler fit strictly on training splits.
- Unsupervised Zero-Day Anomaly Detection: Train a 200-tree Isolation Forest exclusively on clean baseline traffic to isolate novel, unseen zero-day threats without contamination leakage.
- Supervised Threat Classification: Train a 300-tree Random Forest classifier on labeled attack patterns, including brute-force login floods, stealthy crypto-miners, covert data exfiltration, and mass file modification.
- The 3x3 Combined Risk Engine: Synthesize continuous anomaly scores and attack probabilities through a deterministic lookup matrix that assigns LOW, MEDIUM, HIGH, or CRITICAL severity tiers alongside plain-English explanations for SOC analysts.
- Asynchronous FastAPI Service & Live Streamlit SOC Dashboard: Expose real-time predictions via /predict and /health REST API endpoints, visualize live KPIs and severity distributions in Streamlit, and stream telemetry at 23 milliseconds per event.
- Cryptographic Model Security & 41-Test Master Suite: Protect serialized model files against tampering with SHA-256 hash verification and validate the entire pipeline with a 41-test pytest suite achieving 100% attack detection and 0% false alarms on golden attack benchmarks.
How This Course Is Taught
Every concept is illustrated with Pure Diagrammatic Animations—active hardware diagrams, decision trees, coordinate hyperplanes, and score tachometers with zero walls of bullet-point slides—followed by line-by-line full-screen Python code walkthroughs and live terminal execution.
Everything runs locally on a standard laptop CPU with zero paid cloud services or GPU required. Download the complete production codebase and enroll today to build your own AI-powered cybersecurity threat detection system!
Who this course is for
SOC Analysts & Cybersecurity Professionals** who want to understand how modern AI threat detection engines work under the hood and upgrade from static regex signatures to behavioral machine learning
Machine Learning Practitioners & Data Scientists** seeking real-world, practical applications of anomaly detection and classification on security telemetry, APIs, and real-time streaming pipelines
Python Developers & Software Engineers** looking to break into the high-demand cybersecurity and AI defense space by building an end-to-end security project
DevSecOps, Cloud Engineers & Security Operations Teams** aiming to automate threat triage, build transparent risk scoring engines, and eradicate alert fatigue
Homepage
https://www.udemy.com/course/machine-learning-for-cybersecurity-ai-threat-detection/
https://rapidgator.net/file/aec6bceda7093dbbe329cf5b170ca7c2/Machine_Learning_for_Cybersecurity_AI_Threat_Detection.part2.rar.html
https://rapidgator.net/file/533865b2355c108851e35c8f616d808e/Machine_Learning_for_Cybersecurity_AI_Threat_Detection.part1.rar.html
https://nitroflare.com/view/E0B47B07C9BCF15/Machine_Learning_for_Cybersecurity_AI_Threat_Detection.part2.rar
https://nitroflare.com/view/97F14F2889B2832/Machine_Learning_for_Cybersecurity_AI_Threat_Detection.part1.rar
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Category: Tutorials
- views: 65
- date: 21 October 2026
- posted by: 0nelove
Meta Ads with AI: Launch Ads with Meta AI, Gemini & Canva
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 43m | Size: 482.97 MB
Write copy, design visuals & launch Facebook & Instagram ads with Meta AI or Gemini + Canva. Save time and design costs.
What you'll learn
Understand how Meta Ads work across Facebook, Instagram and WhatsApp, and how campaigns, ad sets and ads fit together
Use Google Gemini to generate ad visuals from your product, logo and brand identity
Resize one approved design for multiple placements, with logos and CTAs placed correctly
Basics of WhatsApp ad and launch your ads in Meta Business Suite using a pre-launch checklist
Turn AI-generated designs into editable, on-brand creatives in Canva
Use Meta AI to write ad copy and generate ad creative images, with multiple variations
Choose the right ad sizes, formats and safe zones (4:5, 1:1, 9:16) for Feed, Stories and Reels
Spot what works and what doesn't in Meta ad creatives, so you avoid mistakes that hurt delivery
Choose between the Meta AI workflow and the Gemini + Canva workflow for your own ads
Requirements
No prior Meta Ads, design or copywriting experience needed
Free accounts for Facebook/Instagram (Meta AI), Google (Gemini) and Canva (free or Pro)
A computer with an internet connection
A Meta Business Suite / Business Manager account and ad account if you want to launch a live ad (setup is covered in the course)
A product, service or brand idea to use for the exercises (a sample brand works too)
Description
This course contains the use of artificial intelligence.
Create and Launch Meta Ads with AI: No Designer Needed
Want to run Facebook, Instagram and WhatsApp ads without hiring a designer or copywriter? This course shows you how to write, design and launch professional Meta ads using AI tools, even if you're a complete beginner.
Two AI Workflows, One Complete Course
You'll learn two ways to create ads, so you can pick the one that suits you.
Workflow 1: Meta AI
- Write ad copy: primary text, headlines and descriptions
- Generate ad creative images and multiple variations
- Create everything inside one tool
Workflow 2: Gemini + Canva
- Generate ad visuals with Google Gemini from your product, logo and brand identity
- Turn them into editable, on-brand designs in Canva
- Resize one approved design for Feed, Stories and Reels
Both workflows end with you uploading and launching your ad in Meta Business Suite.
What's Inside the Course
-Meta Ads Basics: how campaigns, ad sets and ads work
-Sizes, Formats and Safe Zones: the right dimensions (4:5, 1:1, 9:16) so nothing gets cropped or hidden
-What Works and What Doesn't: real ad design examples and the mistakes to avoid
-Designing Visuals and Copy with Meta AI: the Meta AI workflow, step by step
-Designing Meta Ads using Gemini and Canva: the Gemini + Canva workflow, step by step
-Upload and Launch Checklist: publish your ad correctly in Meta Business Suite
-WhatsApp Ad: create an ad that sends people to WhatsApp
-Resources and Exercise Files: everything you need to practice
Downloadable Resources Included
-Meta Ads Size Guide: a cheat sheet of sizes and safe zones
-Complete AI Prompts Library: copy-paste prompts for Gemini and Meta AI
-Essential Tools and Links: the tools you'll use and how to set them up
-Ad Design Examples: a swipe file of 8 ad designs across fashion, beauty, food, fitness, education, real estate, jewelry and SaaS
What You'll Be Able to Do
By the end, you'll have a repeatable process for creating Meta ad creatives and copy faster, for your own business or for clients.
Enroll now and launch your first AI-powered Meta ad.
Who this course is for
Anyone who wants to learn Meta Ads from scratch with simple, practical steps
Small business owners and D2C/e-commerce founders who want to advertise on Facebook and Instagram
Freelancers and aspiring social media marketers who want to offer Meta ad creative and copy services
Social media managers and agency beginners who want to speed up ad design and copywriting with AI
Service businesses (salons, clinics, gyms, cafes, real estate, coaching and education) looking for leads and bookings through Meta Ads
Not for: advanced media buyers looking for deep campaign scaling or analytics strategies
Homepage
https://www.udemy.com/course/metaadswithai/https://rapidgator.net/file/f8eb0509925f59881ac6702f561ea913/Meta_Ads_with_AI_Launch_Ads_with_Meta_AI,_Gemini_&_Canva.rar.html
https://nitroflare.com/view/BEDE5B2BF6857E5/Meta_Ads_with_AI_Launch_Ads_with_Meta_AI%2C_Gemini_%26amp%3B_Canva.rar
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Category: Tutorials
- views: 35
- date: 21 October 2026
- posted by: 0nelove
Nonlinear Dimensionality Reduction: t-SNE, UMAP & Python
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 16m | Size: 1.43 GB
Master nonlinear dimensionality reduction with t-SNE, UMAP and Kernel PCA to visualize high-dimensional data via Python.
What you'll learn
Identify non-linear manifold structures where standard linear PCA fails and select optimal non-linear dimensionality reduction algorithms for high-D data.
Implement t-SNE and UMAP, tune hyperparameters like perplexity and n_neighbors, and eliminate common visual cluster misinterpretations.
Quantify embedding distortion using trustworthiness and continuity metrics to debug and validate complex tabular and text embeddings.
Build Kernel PCA pre-image reconstructions and interactive TDA Mapper topological graph networks in Python for real-world production pipelines.
Requirements
Intermediate Python skills (NumPy, Pandas, Matplotlib) and basic familiarity with machine learning and linear algebra concepts.
Description
This course contains the use of artificial intelligence.
Unlock the power of complex, high-dimensional datasets by mastering modern non-linear dimensionality reduction and topological visualization techniques. High-dimensional data often hides non-linear structures that standard linear tools miss. This comprehensive, practical guide equips you with the exact tools and statistical intuition required to analyze, embed, project, and visualize complex manifolds effectively.
Who this course is for
- Data scientists looking to go beyond standard linear PCA algorithms
- Machine learning engineers building high-dimensional feature embeddings
- Bioinformaticians and researchers analyzing high-dimensional single-cell data
- Quantitative analysts seeking topological insights in noisy financial data
What you will learn
- Uncover complex manifold structures where standard linear PCA fails completely
- Master t-SNE hyperparameter tuning and avoid critical visual interpretation errors
- Leverage UMAP to preserve global topology and project unseen test data
- Measure embedding quality using mathematical trustworthiness metrics
- Implement Kernel PCA and construct pre-image spatial reconstructions
- Build topological graphs using Topological Data Analysis (TDA) Mapper
- Debug embedding distortion artifacts in complex tabular and text data
- Develop end-to-end Python pipelines using scikit-learn, UMAP, and TDA tools
Requirements
- Intermediate Python programming skills (NumPy, Pandas, Matplotlib)
- Basic understanding of linear algebra and machine learning concepts
Final Project: You will build an end-to-end embedding evaluation pipeline on high-dimensional data. You will benchmark Kernel PCA, t-SNE, UMAP, and TDA Mapper, calculate quantitative trustworthiness scores, perform out-of-sample projections, and generate interactive, publication-ready manifold visualizations.
Who this course is for
Data scientists, ML engineers, bioinformaticians, and quantitative analysts who want to move beyond linear PCA and master advanced non-linear manifold visual embeddings.
Homepage
https://www.udemy.com/course/nonlinear-dimensionality-reduction-t-sne-umap-python/https://rapidgator.net/file/316c8ebb7a2b964dfc0c033d408a4d23/Nonlinear_Dimensionality_Reduction_t-SNE,_UMAP_&_Python.part2.rar.html
https://rapidgator.net/file/8b995953d033121586e0255ae0b0ae52/Nonlinear_Dimensionality_Reduction_t-SNE,_UMAP_&_Python.part1.rar.html
https://nitroflare.com/view/C7C5FB4F4B53291/Nonlinear_Dimensionality_Reduction_t-SNE%2C_UMAP_%26amp%3B_Python.part2.rar
https://nitroflare.com/view/DCC5879B1FECFF1/Nonlinear_Dimensionality_Reduction_t-SNE%2C_UMAP_%26amp%3B_Python.part1.rar
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Category: Tutorials
- views: 29
- date: 21 October 2026
- posted by: 0nelove
Own Your dаta: The New Wealth Strategy for the AI Economy
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 3m | Size: 2.6 GB
Reclaim Your Digital Gold: AI Era
What you'll learn
Understand exactly how your personal data is collected, valued, and monetized by Big Tech and AI companies today
Audit and lock down your privacy settings, passwords, and AI tool permissions using a step-by-step checklist
Know your legal rights under PIPEDA (Canada), GDPR, and CCPA, and how to formally request or delete your data
Protect yourself and your family from deepfakes, AI voice-cloning scams, and synthetic identity fraud
Requirements
No technical background required. If you use a smartphone, a computer, or an AI tool like ChatGPT, you already have everything you need. This course explains every concept in plain language — no coding, no IT experience, and no prior knowledge of privacy law necessary.
Description WHAT THIS COURSE IS ABOUT (This course contains the use of artificial intelligence.)
Every day you give away something more valuable than money — and most people have no idea. Your searches, your purchases, your social posts, your location patterns, your health questions — this is your personal data. And in the age of artificial intelligence, it is the fuel powering some of the most powerful systems on earth. Companies are worth trillions of dollars because of it. AI models are trained on it. And you are getting almost nothing in return.
This course changes that.
Based on the groundbreaking 2nd Edition book Reclaim Your Digital Gold by digital empowerment speaker and technology strategist Wayne Hinds, this course gives you the knowledge, tools, and action plan to understand your digital footprint, protect your privacy, and position yourself to benefit from the AI economy — not just fuel it.
WHAT YOU WILL LEARN
• Why your personal data is now more valuable than oil — and who is profiting from it
• How AI systems are built on your data without your meaningful consent
• How data brokers find, package, and sell your information — and how to remove yourself
• How to audit your digital footprint using the Digital Footprint Scanner
• How to protect your privacy across social media, apps, and AI tools
• How Canada's PIPEDA law protects you — and what to do when it doesn't
• How to begin monetizing your own data and digital presence
• What Web3, blockchain, and decentralized identity mean for your digital future
• How to build your own Digital Gold Blueprint — a personal action plan
WHO THIS COURSE IS FOR
This course is designed for professionals, entrepreneurs, educators, parents, retirees, HR leaders, and anyone who uses the internet — no technical background required. If you have a smartphone, a social media account, or a search history, this course is for you.
WHAT MAKES THIS DIFFERENT
This is not another abstract tech course. It is a practical empowerment program built on years of research, conference presentations, and real-world consulting experience. Wayne Hinds predicted in 2022 that AI and personal data would become the defining issue of our era — and history has proved him right. The 2nd Edition of this course arrives at the moment when that knowledge is most urgently needed.
Every lesson is 5–10 minutes. Every module ends with a Digital Gold Action Step you can apply immediately. No jargon. No complexity. Just clarity, empowerment, and action.
Enroll now. Your data is your power. Reclaim it.
Who this course is for
Professionals, business owners, and educators who need practical AI and data literacy for their work or classroom
Homepage
https://www.udemy.com/course/own-your-data-the-new-wealth-strategy-for-the-ai-economy/
https://rapidgator.net/file/000351062d94e7ba4413e14a2385db39/Own_Your_Data_The_New_Wealth_Strategy_for_the_AI_Economy.part3.rar.html
https://rapidgator.net/file/7b53d6806312ab549dbbd31ea20681c9/Own_Your_Data_The_New_Wealth_Strategy_for_the_AI_Economy.part2.rar.html
https://rapidgator.net/file/2ec4e7ec2eeb79d7fc58ac9a8e43d31e/Own_Your_Data_The_New_Wealth_Strategy_for_the_AI_Economy.part1.rar.html
https://nitroflare.com/view/4AB2C98156F636D/Own_Your_Data_The_New_Wealth_Strategy_for_the_AI_Economy.part3.rar
https://nitroflare.com/view/56C62AB80AB5180/Own_Your_Data_The_New_Wealth_Strategy_for_the_AI_Economy.part2.rar
https://nitroflare.com/view/2F84FB7996A98A4/Own_Your_Data_The_New_Wealth_Strategy_for_the_AI_Economy.part1.rar
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Category: Tutorials
- views: 60
- date: 21 October 2026
- posted by: 0nelove
Pass the CCAR-F Exam 2026: Claude Certified Architect Course
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 16h 39m | Size: 10.86 GB
Master all 5 CCAR-F domains by building six real Claude systems, with 500+ exam-style questions and full practice tests
What you'll learn
Explain how Claude reads a request and design the agentic loop: tokens, the context window, tool use and every stop reason
Design tools and MCP servers that Claude selects correctly, with structured error responses and the right built-in tools
Build a customer support agent with the Claude Agent SDK: prerequisite gates, hooks, escalation, handoffs and long conversations
Design a multi-agent research system: coordinator and subagents, parallel work, error propagation, provenance and recoverable state
Configure Claude Code for a team: the project memory hierarchy, path rules, skills, plan mode and iterative refinement
Run Claude Code in CI/CD: headless runs, schema-valid review findings, explicit criteria, few-shot prompts and multi-pass review
Build a structured data extraction pipeline: schemas that do not invite fabrication, validation and retry, batches and human review
Cover all 30 task statements of the official exam guide and practise on two full practice tests and a 60-question simulation
Requirements
Basic Python: functions, lists and dictionaries, and running a script from a terminal
A computer (Windows, macOS or Linux) where you can install software; the course shows every install on camera
A free GitHub account and a Claude Console account with a few dollars of credit; setup is taught step by step in Section 0
No prior experience with Claude, LLM APIs or agents is needed: every term is explained from zero
Description
This course contains the use of artificial intelligence.
Pass the Claude Certified Architect – Foundations (CCAR-F) exam, and learn to design reliable production systems with Claude along the way.
This course starts from zero. Every term is explained when it first appears, and every concept is shown in real code, on a real project, with real costs. You are not memorizing facts: you are learning the judgment the exam tests, which is choosing the architecture that best fits a stated constraint.
What you get
- 65 video lessons, about 13 hours, organized as the exam blueprint is: Claude API foundations, tool design and MCP, agents with the Claude Agent SDK, multi-agent systems, Claude Code for a team, Claude Code in CI/CD, and structured data extraction. Every lesson ends with the exam angle, an original scenario question in the style of the real exam.
- One running project, Harborline, a fictional online retailer. Across the course you build the six systems that the six official exam scenarios describe: a customer support agent, a multi-agent research pipeline, a team Claude Code setup, a developer productivity agent, a CI review pipeline and an invoice extraction pipeline.
- Seven hands-on labs with starter code, reference solutions and self-check tests, including the official preparation exercises.
- A quick check after every lesson, a quiz at the end of every module, and a readiness check that tells you where to focus first.
- Two timed practice tests and a third practice exam of 60 questions each, written in the style of the official exam, plus a full exam simulation with a video walkthrough of every answer. More than 500 original questions, each with an explanation of why every option is right or wrong.
- A role play at the end of every section, to rehearse explaining and defending your technical decisions.
- Downloadable student kits for every lesson: commands, expected output and the code you build, plus a one-page cheat sheet for every module.
Who this is for
Developers and solution architects who want to pass CCAR-F, and engineers who want to design with Claude the right way: choose tools and descriptions that route correctly, enforce rules in code instead of prompts, build agents and multi-agent systems, configure Claude Code for a team, run it in CI, and extract structured data you can trust.
Requirements
Basic Python and a computer where you can install software. No prior experience with Claude, LLM APIs or agents is needed.
All questions are original and written for this course. The course is independent: it is not affiliated with or endorsed by Anthropic, and it contains no live exam content.
Who this course is for
Developers and solution architects preparing for the Claude Certified Architect – Foundations (CCAR-F) exam
Software engineers who want to design reliable production systems with Claude, agents, tools and MCP
Tech leads who configure Claude Code for a team and need review, CI and data-extraction pipelines that hold up
Homepage
https://www.udemy.com/course/pass-the-ccar-f-exam-2026-claude-certified-architect-course/
https://rapidgator.net/file/f5b965b7fc2a756a216b9a3572e722df/Pass_the_CCAR-F_Exam_2026_Claude_Certified_Architect_Course.part12.rar.html
https://rapidgator.net/file/5e301d410454bdd46fabf547316edf2d/Pass_the_CCAR-F_Exam_2026_Claude_Certified_Architect_Course.part11.rar.html
https://rapidgator.net/file/a1c73d087615bd4701ca52dc3164d752/Pass_the_CCAR-F_Exam_2026_Claude_Certified_Architect_Course.part10.rar.html
https://rapidgator.net/file/1389bb1d9665e9551f4324928fd92c57/Pass_the_CCAR-F_Exam_2026_Claude_Certified_Architect_Course.part09.rar.html
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Category: Tutorials
- views: 41
- date: 21 October 2026
- posted by: 0nelove
PivotTables with Excel
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 50m | Size: 3.05 GB
PivotTables A-Z: Building, Formatting, Styling, Calculating, Visualizing, Dashboards, Power Pivot & AI
What you'll learn
Create, customize, and apply Excel Pivot Tables from scratch in typical business scenarios
Analyze large datasets quickly by sorting, filtering, and grouping data, and by using totals, percentages, and calculated fields
Design and format professional Pivot Tables and visualize results with conditional formatting and suitable Pivot Charts
Build interactive dashboards using Slicers and Timelines
Use Power Pivot and a data model to connect and analyze multiple tables
Automate recurring Pivot Table tasks with macros and VBA, including support from ChatGPT
Recognize and avoid common mistakes when creating Pivot Tables
Refresh, print, and share your reports and analyses efficiently
Requirements
Microsoft Excel installed on your computer (ideally version 2016 or newer, e.g. Microsoft 365). Power Pivot is not available in all Excel versions.
Basic Excel skills (cells, simple formulas, working with tables) are helpful but not required
No prior knowledge of Pivot Tables, Power Pivot, or VBA is needed. You will learn everything step by step.
A free ChatGPT account is needed for the AI section (sign-up is shown in the course)
Description
Do you work with large spreadsheets and spend hours summarizing data by hand? This course shows you how to turn raw data into clear, actionable insights in minutes using Excel Pivot Tables.
You will start with the basics and build your skills step by step. First, you will create your first Pivot Table and learn how to avoid the most common pitfalls. Then you will explore field settings, sorting, filtering, and the GETPIVOTDATA function. Hands-on exercises with full solutions help you practice what you have learned.
Next, you will go deeper into advanced calculations: aggregation methods, percentages, calculated fields, and grouping. You will learn how to design professional layouts, apply styles, refresh and update your data, use drill-through techniques, and prepare your reports for printing.
You will also make your results more visual and easier to read. Learn to use conditional formatting, create Pivot Charts (column, bar, line, area, pie, TreeMap, and radar), and choose the right chart type for your message. Then bring everything together by building an interactive dashboard with Slicers, Timelines, and the Selection Pane.
For more advanced analysis, you will discover Power Pivot. You will add multiple tables, build a data model, and create Pivot Tables across related data, without complicated lookup formulas.
Finally, you will learn how to save time through automation. You will record reusable macros, write custom VBA procedures, and use ChatGPT to generate VBA code for your Pivot Table tasks.
Who this course is for
Excel users who want to analyze their data faster and more professionally
Professionals in controlling, finance, sales, marketing, purchasing, HR, and administration who regularly work with numbers and reports
Analysts and report creators who want to build interactive dashboards
Beginners who want to learn Pivot Tables from the ground up
Advanced Excel users who want to explore Power Pivot, data models, and automation with VBA and AI
Homepage
https://www.udemy.com/course/pivot-course/https://rapidgator.net/file/4df844c7e5bed64ee70c36c17ccf219d/PivotTables_with_Excel.part4.rar.html
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Category: Tutorials
- views: 36
- date: 21 October 2026
- posted by: 0nelove
Professional Root Cause Analysis for Facility Management
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 56m | Size: 1.11 GB
Master RCA, 5 Whys, Fishbone & Fault Tree Analysis to investigate HVAC and equipment failures and improve reliability.
What you'll learn
Understand Root Cause Analysis (RCA) principles and apply structured techniques to investigate equipment failures in Facility Management.
Apply the 5 Whys, Fishbone (Ishikawa) Diagram, and Fault Tree Analysis (FTA) to identify potential causes of equipment failures.
Analyze maintenance records, CMMS data, equipment failure history, and reliability indicators to identify recurring problems.
Distinguish equipment failure symptoms, immediate causes, contributing factors, and underlying root causes.
Develop effective corrective and preventive action plans to reduce equipment downtime and improve maintenance reliability.
Conduct practical RCA investigations involving HVAC systems, chilled water pumps, chillers, and electric motors.
Validate potential root causes using technical evidence, equipment measurements, and systematic investigation methods.
Prepare professional RCA investigation reports and evaluate corrective action effectiveness.
Requirements
Basic knowledge of Facility Management, Maintenance Engineering, or industrial equipment is recommended but not mandatory.
No previous experience with Root Cause Analysis (RCA) techniques is required.
A willingness to learn practical equipment troubleshooting, failure investigation, and reliability improvement techniques.
Description
Disclaimer: "This course contains the use of artificial intelligence."
Why do equipment failures keep happening even after maintenance teams repair or replace defective components?
In many industrial facilities and commercial buildings, equipment failures are addressed through immediate repairs without fully understanding the underlying conditions that caused them.
Root Cause Analysis (RCA) provides a structured, evidence-based approach to investigating failures, identifying contributing factors, and developing corrective actions that improve equipment reliability.
In this practical course, you will learn how to investigate equipment failures systematically using established RCA techniques, technical evidence, and real-world maintenance scenarios.
The course begins with the fundamentals of equipment failures, failure modes, symptoms, immediate causes, and underlying causes.
You will then explore three widely used Root Cause Analysis techniques:5 Whys, Fishbone (Ishikawa) Diagrams, and Fault Tree Analysis (FTA).
Through practical examples, you will understand how to select the appropriate investigation technique, analyze maintenance records, identify recurring failure patterns, and validate potential root causes using engineering evidence.
The course also covers corrective and preventive action planning, effectiveness verification, and professional RCA investigation reporting.
Practical engineering case studies include
Chilled water pump bearing failures, repeated chiller high-pressure trips, electric motor bearing failures, and standby pump automatic-start problems.
These examples demonstrate how equipment failures can involve mechanical, electrical, operational, and maintenance management factors.
By completing the course, you will develop a systematic approach to equipment failure investigation and gain practical knowledge that can be applied to maintenance and reliability improvement activities.
COURSE CONTENT:
- What Is Root Cause Analysis (RCA) and Why Is It Important?
- Understanding the Root Cause Analysis Process
- Understanding Equipment Failures and Failure Modes
- Symptoms vs. Immediate Causes vs. Root Causes
- Common Causes of Equipment Failures
- The 5 Whys Technique
- Practical Example: Applying the 5 Whys
- Fishbone (Ishikawa) Diagram
- Fault Tree Analysis (FTA)
- Selecting the Right RCA Technique
- Defining the Problem and Investigation Scope
- Collecting Evidence and Maintenance Data
- Analyzing Equipment Failure History and Patterns
- Identifying and Validating Root Causes
- Developing Effective Corrective and Preventive Actions
- Measuring Corrective Action Effectiveness
- Preparing a Professional RCA Investigation Report
- Case Study 1: Chilled Water Pump Failure
- Case Study 2: Chiller Repeated High-Pressure Trips
- Case Study 3: Electric Motor Bearing Failure
Learn to move beyond equipment repair and start preventing recurring failures through evidence-based Root Cause Analysis.
About us
Engineering Hub Academy | Professional Engineering & Technical Training
Engineering Hub Academy is an international online engineering training academy founded in 2021 byMohamed Omran, dedicated to delivering high-quality, practical, and industry-focused education to engineering and technical professionals worldwide.
Withover 50,000 students from more than 180 countries, Engineering Hub Academy has established a growing global learning community committed to continuous professional development and technical excellence.
Our mission is to bridge the gap between engineering theory and real-world industrial applications by providing accessible, practical, and professionally designed training programs.
Who this course is for
Facility Managers and Facility Management Professionals seeking to improve maintenance performance and equipment reliability.
Maintenance Engineers and Maintenance Supervisors responsible for investigating recurring equipment failures and reducing downtime.
Reliability Engineers and Asset Management Professionals interested in applying structured RCA techniques to equipment failure investigations.
Mechanical Engineers and HVAC Engineers working with chillers, pumps, motors, and building mechanical systems.
Maintenance Technicians and Technical Specialists looking to strengthen their troubleshooting and problem-solving skills.
Engineering Students and Early-Career Engineers interested in Facility Management, Maintenance Engineering, and Equipment Reliability.
Homepage
https://www.udemy.com/course/professional-root-cause-analysis-for-facility-management/
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Category: Tutorials
- views: 32
- date: 21 October 2026
- posted by: 0nelove
Third-Party Risk Management: EBA, DORA & CIFs
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 17m | Size: 3.21 GB
Master EBA & DORA: Critical Functions, Third-Party Risk Assessment, Vendor Governance and Operational Resilience
What you'll learn
Understand EBA and DORA requirements for managing ICT and non-ICT third-party risks in financial institutions.
Identify critical or important functions (CIFs) and conduct third-party risk assessments, due diligence, and vendor classification.
Develop third-party risk governance frameworks, compliant contracts, registers, and subcontracting oversight processes.
Implement continuous monitoring, concentration risk controls, exit strategies, and regulatory compliance programs under EBA and DORA.
Requirements
Basic understanding of banking, financial services, risk management, or compliance concepts is recommended.
No prior expertise in EBA Guidelines, DORA, or third-party risk management is required.
Familiarity with outsourcing, vendor management, ICT risk, or operational resilience is helpful but not mandatory.
No special software, technical tools, or legal background is needed. All essential frameworks and concepts are explained.
Description
This course contains the use of artificial intelligence.
Third-Party Risk Management: EBA, DORA & CIFs
Master Third-Party Risk Management, Regulatory Compliance, and Operational Resilience in Financial Services.
Financial institutions increasingly depend on external technology providers, outsourcing partners, cloud platforms, and specialized service organizations. Managing these relationships is no longer simply a procurement or vendor management responsibility. It is a critical component of enterprise risk management, operational resilience, and regulatory compliance.
This comprehensive course provides a practical understanding of Third-Party Risk Management (TPRM) under theDigital Operational Resilience Act (DORA) and theEuropean Banking Authority (EBA) Guidelines, with particular emphasis on Critical or Important Functions (CIFs).
You will explore how financial institutions can identify, assess, govern, monitor, and control third-party risks throughout the entire service lifecycle.
What You Will Learn
- Understand DORA Chapter V and the EBA Third-Party Risk Guidelines.
- Identify and classify Critical or Important Functions (CIFs).
- Develop effective third-party risk governance frameworks and policies.
- Conduct pre-contract risk assessments and third-party due diligence.
- Evaluate contractual requirements, audit rights, and regulatory obligations.
- Manage subcontracting, fourth-party dependencies, and concentration risks.
- Establish and maintain third-party registers and the DORA Register of Information (RoI).
- Implement continuous monitoring, Key Risk Indicators (KRIs), and performance assessments.
- Develop exit strategies, business continuity arrangements, and stressed-exit plans.
- Prepare for regulatory supervision, compliance reviews, and third-party risk audits.
Regulatory Frameworks Covered
The course examines key European and international regulatory requirements, including
-DORA — Regulation (EU) 2022/2554
-EBA Guidelines on the Sound Management of Third-Party Risk (EBA/GL/2026/09)
-Basel Committee Principles for the Sound Management of Third-Party Risk (2025)
-ECB Guide on Outsourcing Cloud Services
- DORA requirements for ICT third-party service providers and critical functions
Particular attention is given to integrating ICT and non-ICT third-party risk management into a consistent governance framework.
Practical Applications and Real-World Case Studies
Beyond regulatory theory, this course explores real-world incidents and practical risk management challenges involving financial institutions, technology providers, and critical service dependencies.
Through illustrative scenarios and the fictional Halvard Bank Group case study, you will examine third-party risk assessments, governance decisions, contractual gaps, concentration risks, monitoring processes, and exit planning.
The course also introduces a structured approach to developing an EBA and DORA compliance implementation roadmap.
Who Should Take This Course?
This course is designed for
- Third-Party Risk Managers and Vendor Risk Specialists
- Banking, Fintech, and Financial Services Professionals
- Compliance Officers and Internal Auditors
- ICT Risk and Cybersecurity Professionals
- Operational Resilience and Business Continuity Managers
- Procurement, Outsourcing, and Contract Management Professionals
- Risk Consultants and Regulatory Compliance Advisors
- CIOs, CROs, COOs, and Senior Management
A basic understanding of banking, risk management, or financial services is recommended, but prior expertise in EBA or DORA regulations is not required.
Take the Next Step in Third-Party Risk Management
By completing this course, you will develop the knowledge and practical understanding needed to strengthen third-party risk governance, manage critical service dependencies, support regulatory compliance, and improve operational resilience across financial institutions.
Build the skills to manage third-party risk with confidence in an increasingly interconnected financial ecosystem.
Who this course is for
Third-party risk managers, vendor risk specialists, and outsourcing officers working in financial institutions.
Banking, payment services, and fintech professionals responsible for EBA and DORA regulatory compliance.
ICT risk, operational resilience, cybersecurity, and information security professionals managing third-party dependencies.
Compliance officers, internal auditors, risk managers, and legal professionals overseeing third-party arrangements.
CROs, CIOs, COOs, board members, and senior executives responsible for third-party risk governance and oversight.
Consultants, advisors, procurement professionals, and service providers supporting financial institutions with EBA and DORA compliance.
Homepage
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Category: Tutorials
- views: 52
- date: 21 October 2026
- posted by: 0nelove
Top 101 Backend Software Engineer Interview Masterclass
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 29m | Size: 5.24 GB
Ace FAANG Interviews: High Concurrency, DB Internals, Distributed Systems, Auth Architecture & 101 Blueprints
What you'll learn
Master 101 senior backend engineering interview questions covering OS concurrency, database storage internals, and distributed architectures.
Explain foundational systems concepts (epoll multiplexing, ACID isolation levels, WAL durability, LSM trees vs B-trees) with staff-level clarity.
Solve complex real-world production challenges: database replication lag, cache stampede prevention, distributed locking, and rate limiting.
Deliver crisp 60-90 second structured interview answers using the 3-stage Staff Engineer delivery blueprint for every question.
Requirements
Download 101 publication-grade PDF revision study notes with architectural system diagrams, comparative matrices, and engineering blueprints.
Description
Ace your Senior and Staff Backend Software Engineer technical interviews with confidence.
Most backend interview preparation resources rely on superficial syntax trivia, surface-level definitions, or scattered blog posts. When Tier-1 tech companies, high-growth startups, and FAANG organizations interview Senior and Staff Backend Engineers, they do not test whether you can write boilerplate SQL or set up an Express route. They rigorously evaluate your understanding ofunder-the-hood systems mechanics: OS kernel primitives, epoll I/O multiplexing, database storage engine internals (B-Trees vs LSM Trees), ACID transaction isolation anomalies, cache stampede prevention, distributed consensus, and resilient system design.
This masterclass is the definitive, publication-grade preparation program featuring101 comprehensive interview blueprints across 5 structured architectural modules.
What Makes This Course Unique
-Staff-Level Answer Delivery Blueprint: Every question is structured with a crisp, high-impact 3-part delivery: Core Thesis, Technical Mechanism & Tradeoffs, and Production Anti-Patterns.
-Deep Conceptual Architecture: Every topic is broken down with clear visual architecture models, from TCP sliding window flow control to Raft leader election and WAL recovery.
-101 Companion PDF Revision Notes: Download high-resolution study notes with architecture diagrams, comparison tables, and code blueprints for rapid pre-interview revision.
-Interview Red Flags Highlighted: Learn exactly what responses cause interviewers to dock points and how to articulate senior-level engineering tradeoffs.
Course Curriculum Breakdown
Module 1: Foundations & Core Concepts (Lectures 1-25)
Deep-dive into the foundational building blocks of backend engineering
- Client HTTP request lifecycle from DNS resolution to socket acceptance and kernel buffers
- TCP vs UDP: sequence numbers, sliding window flow control, and Tahoe/Reno/BBR congestion control
- TLS 1.3 handshake, ECDHE key exchange, and 0-RTT resumption
- HTTP/1.1 vs HTTP/2 vs HTTP/3 (QUIC) and Head-of-Line blocking elimination
- REST vs GraphQL vs gRPC: network overhead, schema strictness, and Protobuf serialization
- OS Process vs Thread: virtual address spaces, stack vs heap, and context switching overhead
- I/O Multiplexing: select() vs poll() vs epoll() and the C10K/C1000K problem
- Concurrency paradigms: Reactor vs Proactor, Go goroutines, and Java Virtual Threads
- Little's Law and calibrating thread pool sizing for CPU vs I/O-bound workloads
- HTTP status code taxonomy and semantic precision
- Reverse Proxies, API Gateways, and L4 vs L7 load balancing algorithms
- OAuth 2.0 & OIDC authorization flows and machine-to-machine security (mTLS, API keys)
- Cryptographic password hashing: Argon2id vs bcrypt vs scrypt vs PBKDF2
- Database connection pooling: starvation prevention, keepalive, and leak detection
Module 2: Databases & Storage Engines (Lectures 26-50)
Master data persistence, query execution, and storage engine mechanics
- B-Tree and B+Tree indexing mechanics: page structure, fill factors, and splits
- Composite indexing, left-prefix rule, and index-only covering queries
- Query optimization: EXPLAIN execution plans, index scans vs seq scans, and join strategies (Nested Loop, Hash Join, Merge Join)
- Write-Ahead Logging (WAL), ARIES recovery, and checkpointing for ACID durability
- Transaction isolation levels under ANSI SQL: Dirty Reads, Non-Repeatable Reads, Phantom Reads, and Serialization Anomalies
- Multi-Version Concurrency Control (MVCC) internals in PostgreSQL and MySQL InnoDB
- Pessimistic vs Optimistic concurrency control (SELECT FOR UPDATE vs version CAS)
- Database replication topologies: asynchronous vs synchronous vs semi-sync and replication lag
- LSM Trees vs B-Trees: MemTable, Write-Ahead Log, and SSTable compaction strategies
- Caching topologies: Cache-Aside, Write-Through, Write-Behind, and Refresh-Ahead
- Cache failure modes: Cache Avalanche, Cache Stampede (Dogpiling), and Cache Penetration mitigations
- Redis internal architecture: single-threaded event loop, RESP protocol, RDB vs AOF persistence, and advanced data structures (HyperLogLog, Geo, Streams)
Module 3: Distributed Systems & Microservices (Lectures 51-75)
Architect robust, fault-tolerant distributed architectures
- CAP Theorem and PACELC trade-offs in modern cloud data stores
- Distributed transactions: Two-Phase Commit (2PC) vs Saga pattern (Orchestration vs Choreography)
- Distributed consensus: Raft vs Paxos leader election and log replication
- Message brokers: Apache Kafka log partition model vs RabbitMQ AMQP routing
- Idempotency keys, duplicate message handling, and outbox transactional pattern
- Dead letter queues (DLQ), retry backoff with jitter, and poisoning message isolation
- Service mesh architecture: Envoy sidecars, mTLS, and traffic shaping
Module 4: Security, Scalability & Performance (Lectures 76-90)
Harden systems against high-load degradation and production failures
- Rate limiting algorithms: Token Bucket vs Leaky Bucket vs Sliding Window Log
- Resilience patterns: Circuit Breaker, Bulkhead, and Timeout budget cascading prevention
- Distributed tracing with OpenTelemetry: trace IDs, span contexts, and sampling strategies
- Horizontal database sharding: hash vs range based, re-sharding, and distributed joins
- Zero-downtime database migrations: expand-and-contract pattern
- Memory profiling and garbage collection tuning in high-throughput services
Module 5: System Design & Real-World Scenarios (Lectures 91-101)
Ace senior system design interviews and architectural trade-off discussions
- Designing a high-throughput URL Shortener with 100M daily active users
- Designing a distributed, fault-tolerant cron and job scheduler
- Designing a real-time multiplayer leaderboard with Redis Sorted Sets
- Designing an idempotent payment processing gateway with webhook verification
- Designing a collaborative document editing backend with CRDTs / Operational Transformation
- Senior engineering leadership scenarios: resolving technical disagreements and managing legacy technical debt
Who This Course Is For
- Backend Engineers, Systems Programmers, and Full-Stack Developers actively interviewing for Senior, Lead, or Staff roles.
- Software Engineers transitioning from monolithic applications to high-throughput distributed microservices.
- Developers who want deep, architectural understanding of databases, networking, and concurrency.
Who this course is for
Identify and eliminate fatal backend architecture red flags that immediately disqualify candidates in Tier-1 and FAANG technical screens.
Homepage
https://www.udemy.com/course/top-101-backend-software-engineer-interview-masterclass/https://rapidgator.net/file/907ecdf4c8177eb7b88cfbec71ba7a1f/Top_101_Backend_Software_Engineer_Interview_Masterclass.part6.rar.html
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Category: Tutorials
- views: 86
- date: 19 October 2026
- posted by: 0nelove
Ubuntu Linux Users, Groups & Permissions: Complete Guide
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 14m | Size: 1.06 GB
Master Ubuntu Linux user management, groups, permissions, sudo, and ACLs through hands-on labs and ready-to-use scripts.
What you'll learn
Provision, modify, and manage Ubuntu users and groups using production CLI tools, environment configs, and user account workflows.
Apply POSIX symbolic and octal permissions, SUID, SGID, and Sticky Bits to secure shared directories and system files.
Configure secure privilege escalation via visudo snippets, password aging policies, and granular POSIX Access Control Lists (ACLs).
Audit permission vulnerabilities, troubleshoot access denied errors, and build full identity automation scripts for Ubuntu systems.
Requirements
Basic familiarity with using a terminal command line and access to an Ubuntu Linux environment (Virtual Machine, Cloud Instance, or Dual Boot). No prior sysadmin experience required!
Description
This course contains the use of artificial intelligence.
Stop guessing with chmod 777: learn to control exactly who can read, write, and run everything on your Ubuntu server.
Who this course is for
- Aspiring Linux system administrators and DevOps beginners
- Developers who deploy to Ubuntu servers and keep hitting "Permission denied"
- IT support staff who create and remove user accounts
- Students preparing for Linux certifications (LPIC, CompTIA Linux+, RHCSA-style skills)
- Home-lab users who want a secure multi-user server
What you will learn
- Create, modify, lock, expire, and delete users and groups with useradd, usermod, groupadd, and gpasswd
- Provision many accounts at once with a safe, repeatable Bash script
- Read and set file permissions in symbolic and octal form with chmod, chown, and umask
- Understand why directories need the execute bit and diagnose failures with namei
- Build shared team folders with the setgid bit and protect drop folders with the sticky bit
- Find and audit risky setuid, setgid, and world-writable files
- Write least-privilege sudo rules with visudo and /etc/sudoers.d
- Enforce password aging and password quality with chage and pwquality
- Grant per-user and per-group access with ACLs, default ACLs, and the ACL mask
- Offboard an employee safely without losing their data
Requirements
- A computer that can run an Ubuntu 22.04 or 24.04 virtual machine (VirtualBox, Multipass, or a cloud server)
- Basic comfort opening a terminal; no prior Linux administration needed
Final project You will secure a department file server from scratch. You create users and groups with the provisioning script, build private HR, Finance, and IT folders with correct modes and setgid, give IT read-only audit access with ACLs, and allow IT to restart one service through a scoped sudo rule. You then apply password aging, run the audit commands, and offboard a user. You submit your audit output as proof that the server is locked down.
Who this course is for
Aspiring Linux System Administrators, DevOps Engineers, and Security Analysts who want to master identity, sudo, and permission management on Ubuntu Linux.
https://rapidgator.net/file/b3d712f3f1128fbf3386e0412d270578/Ubuntu_Linux_Users,_Groups_&_Permissions_Complete_Guide.part2.rar.html
https://rapidgator.net/file/df3385692714d73dcd74bdc46354006a/Ubuntu_Linux_Users,_Groups_&_Permissions_Complete_Guide.part1.rar.html
https://nitroflare.com/view/6D5B1D85D728296/Ubuntu_Linux_Users%2C_Groups_%26amp%3B_Permissions_Complete_Guide.part2.rar
https://nitroflare.com/view/4B936118AAB0274/Ubuntu_Linux_Users%2C_Groups_%26amp%3B_Permissions_Complete_Guide.part1.rar |
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Category: Tutorials
- views: 80
- date: 18 October 2026
- posted by: 0nelove
Cell Culture & Preclinical Research: Design & Interpretation
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 1h 31m | Size: 374.08 MB
Choose cell models, design controls, interpret assays and build a feasible research proposal in a 16-week course
What you'll learn
Justify a cell model against a focused biological question and define the limits of its conclusions.
Distinguish identity authentication, contamination testing and relevant phenotype checks.
Design controls, balanced allocation and independent replication that separate plausible alternative explanations.
Evaluate assay interference, imaging analysis and the validity of cell-number, viability and functional endpoints.
Interpret effect estimates and uncertainty without confusing cell responses with clinical benefit.
Develop and defend a feasible experimental proposal with quality gates, verified sources and an ethical governance plan.
Requirements
Foundational cell biology and ability to read an English research paper. Basic numerical interpretation is helpful; advanced statistics is not required. Activities are desk-based and require no laboratory access.
Description
This course contains the use of artificial intelligence. AI assists scripts, original visual production and the synthetic conversational voices.
A beautiful cell signal is only the beginning. Can you defend the experiment?
A culture looks healthy. A graph shows a difference. Hundreds of cells were measured. Before accepting the conclusion, ask whether the model fits the question, the controls separate alternatives and the measurement supports the claim.
JoinShu-Chen Hou, PhD, and a curious host for a 16-week university-style course in cell culture and preclinical research design. The host challenges assumptions, introduces realistic cases and asks you to decide before the instructor reveals the reasoning.
From model choice to a feasible proposal
- Compare primary cells, cell lines and more complex models against a focused question.
- Separate identity, contamination and relevant phenotype checks.
- Plan controls, balanced allocation and appropriate independent replication.
- Investigate assay interference and evaluate image sampling and analysis.
- Distinguish cell number, viability, proliferation and functional endpoints.
- Interpret uncertainty and keep laboratory responses separate from clinical benefit.
- Build and defend an experimental proposal with quality gates, verified sources and a realistic timeline.
Learn through conversations and decisions
Work through donor confounding, an unresolved culture identity, a contamination incident, a misleading detection signal and a flawed imaging comparison. Original diagrams make experimental hierarchies and alternative explanations visible. Numerical scenarios are clearly labelled fictional and are never presented as published study results.
Your semester toolkit
The downloadable handbook, weekly worksheets, planning templates, reading prompts and analytic rubrics support a journal-club presentation, mid-semester critical appraisal and final research proposal. Udemy learners use self-assessment; individual instructor grading is not promised.
Who this course is for
Advanced undergraduate biomedical and life-science students, learners beginning postgraduate research and early-career researchers planning cell-based studies. Foundational cell biology and ability to read an English research paper are helpful. Advanced statistical derivation is outside the course.
About your instructor
Shu-Chen Hou earned a PhD in Medicine at the University of Bristol, with doctoral training in the Faculty of Medicine & Dentistry, School of Clinical Sciences. Research experience includes primary cell culture, bone biology, preclinical biomedical research, natural products and translational evidence.
How the semester works
Each week combines recorded discussion with guided reading, decisions, workshops and reflection. Approximately two structured learning hours per week gives a 32-hour semester plan; independent reading and assignment preparation are additional. This is not a claim of 32 hours of video. The course includes 18 recorded lectures, approximately 91 minutes of video, plus the guided activities described above. English is the primary language. Captions are provided in English, Simplified Chinese, Traditional Chinese, Japanese, Korean, Brazilian Portuguese, French and German.
This independent educational course awards no university credit and provides no personal diagnosis or treatment. Activities are desk-based and require no cell culture, tissue collection, animal procedures or participant recruitment. Actual laboratory work requires practical training, supervision, institutional permission and current local procedures.
Who this course is for
Advanced undergraduate biomedical and life-science students, learners beginning postgraduate research, and early-career researchers developing cell-based experimental proposals.
https://rapidgator.net/file/0bda68af58f3b7108a10a1da97550f47/Cell_Culture_&_Preclinical_Research_Design_&_Interpretation.rar.html
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Category: Tutorials
- views: 51
- date: 18 October 2026
- posted by: 0nelove
AI-Powered Product Discovery and Strategy
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 4h 15m | Size: 2.13 GB
Part 1 of 5: size a market, map competitors, rank features and plan a roadmap, by hand first, then with AI
What you'll learn
Size a market with TAM, SAM and SOM and decide whether a product should enter it
Map direct, indirect and non-consumption competitors and compare them in one matrix
Find, rank and frame the user problems worth solving before you build anything
Write a product vision and a one-page product strategy
Score features with RICE and ICE and turn the ranking into a 90-day roadmap
Use AI for market research, competitive analysis, trend detection, survey insights and priority scoring
Check every AI output: verify each number, protect personal data and keep the strategic decisions human
Requirements
No product management, design or coding experience needed. The course starts from first principles
A computer with internet access and a free account on an AI assistant such as ChatGPT, Claude or Gemini
About 10 hours a week, or study at your own pace
Description
Most AI courses show you tools. This course teaches you the work first. You learn each product discovery method by hand, so you know what a good answer looks like. Then you use AI to get there faster, and you check what it gives you.
This is Part 1 of the AI-Powered Product Development Accelerator, a five-part program. Part 1 covers product discovery and strategy: the decisions you make before you build anything.
What you do in Part 1
- Size a market with TAM, SAM and SOM and decide whether to enter it
- Map direct, indirect and non-consumption competitors
- Find, rank and frame the user problems worth solving
- Write a product vision and a one-page strategy
- Score features with RICE and ICE
- Turn the ranking into a 90-day roadmap
The first six lessons teach each method step by step, with the time each step takes, a template and a quality checklist. The next five lessons hand one job each to AI: market research, competitive analysis, trend detection, survey insights and priority scoring. Each AI lesson gives you a workflow, tools with prices and a free route, a prompt library and a verification checklist.
Every lesson has a hands-on lab. You run each lab on TRUF, a ride-hailing case study set in Dubai, or on your own product. Part 1 ends with a Project Pack: a competitive analysis matrix, a one-page strategy, a prioritized feature list and a 90-day roadmap.
Three rules run through every lesson: verify every number, never paste personal data into an AI tool, and keep the strategic decisions human.
Next in the program: Part 2, AI-Powered User Research and Validation.
Who this course is for
Aspiring product managers who want a practical, step-by-step way to decide what to build
Designers who want product management skills
Marketers moving into product roles
Founders deciding what their first product should be
Anyone who wants to make product decisions faster with AI, without skipping the fundamentals
https://rapidgator.net/file/b72ed6dfd85ca9e26cd776c52a1df34d/AI-Powered_Product_Discovery_and_Strategy.part3.rar.html
https://rapidgator.net/file/d8d96bee5d15647457df17124c37f566/AI-Powered_Product_Discovery_and_Strategy.part2.rar.html
https://rapidgator.net/file/dba81c13220147eb66f98d9110d5f66c/AI-Powered_Product_Discovery_and_Strategy.part1.rar.html |
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Category: Tutorials
- views: 76
- date: 18 October 2026
- posted by: 0nelove
ChatGPT Masterclass: Practical AI for Work & Business
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 36m | Size: 100.84 MB
Use ChatGPT for real work: write faster, analyze documents and data, and build safe, repeatable workflows.
What you'll learn
Explain how large language models work and why they hallucinate
Verify AI output and know which tasks need the most checking
Use a six-part prompt framework: role, task, context, format, examples, constraints
Draft emails, proposals, SOPs, and marketing copy in your own voice
Summarize documents, research with sources, and analyze spreadsheets
Set up custom instructions, projects, templates, and a safe 30-day plan
Requirements
No technical background needed; basic computer and email skills are enough
A free or paid ChatGPT account is helpful for practicing, but not required to watch the lectures
Description
This course contains the use of artificial intelligence.
I'm Christian, a licensed C-10 electrical contractor in San Diego and an electrical engineer who spent more than six years in semiconductor fabs. I run a small business, and I use ChatGPT every day for real work: emails, proposals, procedures, spreadsheets, and research. This course shows you how to do the same, safely and with good judgment, whether you run a business, manage an office, work in the trades, or sit at a desk.
You will learn how large language models work in plain words, why they hallucinate, and how to verify what they tell you. Then you will learn a practical six-part prompt framework (role, task, context, format, examples, and constraints) and apply it to writing, document summaries, research with sources, and spreadsheet analysis. You will also set up custom instructions, projects, and reusable templates, learn privacy and company-policy basics, and finish with a 30-day adoption plan.
What you get: more than 30 minutes of short, focused lectures; worked before-and-after prompt examples; a downloadable PDF, the ChatGPT Prompt Library for Work, with more than 50 copy-ready prompts organized by category; and a quiz at the end of each content section.
Important notes: AI tools change quickly, so features, plans, and menus may differ from what you see. I describe features generally and teach skills that last, and you should check the current app. AI can make mistakes, so always verify important facts, numbers, and sources. This course is general education and is not legal, financial, safety, or code advice. Always follow your company policy, your local code, and the authority having jurisdiction.
About the production: the narration in this course is generated with an AI text-to-speech voice, and the slides were produced with AI-assisted tools. The content was written and reviewed by the instructor.
Who this course is for
Small business owners and office managers who want to save time on writing and admin
Tradespeople, contractors, and engineers who want practical examples from real work
Professionals who want to use AI safely, with privacy and verification habits
Beginners who have tried ChatGPT but want better, more consistent results
https://rapidgator.net/file/fecd9b6519b69786a10db11142f3ab12/ChatGPT_Masterclass_Practical_AI_for_Work_&_Business.rar.html
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Category: Tutorials
- views: 31
- date: 18 October 2026
- posted by: 0nelove
Cybersecurity for Beginners: Protect Your Devices & Data
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 38m | Size: 988.35 MB
Learn to prevent cyberattacks, detect phishing, secure passwords and Wi-Fi, protect your data, and defend your devices
What you'll learn
Identify common cyber threats, including malware, ransomware, phishing, social engineering, and online scams.
Create stronger passwords, use password managers, and configure multi-factor authentication to protect online accounts.
Apply essential security settings to Windows computers, smartphones, applications, and internet-connected devices.
Secure home Wi-Fi networks using appropriate router settings, encryption, firewalls, and safer browsing practices.
Explain the fundamentals of encryption, data backups, cloud security, online privacy, and personal information protection.
Recognize suspicious emails, fraudulent websites, credential theft attempts, and common business email scams.
Follow practical incident response steps to secure compromised accounts, report security incidents, and recover access safely.
Conduct a basic personal cybersecurity assessment and develop an action plan to reduce digital risks.
Requirements
No previous cybersecurity knowledge or technical experience is required.
No programming or coding skills are needed.
A basic ability to use a computer or smartphone and browse the internet is helpful.
A computer, laptop, tablet, or smartphone with an internet connection is recommended for following the lessons and completing practical exercises.
A willingness to learn about online safety, protect personal information, and practice basic security techniques is all you need to get started.
Description
This course contains the use of artificial intelligence.
The digital world offers incredible opportunities, but it also exposes us to cyber threats such as phishing emails, malware, ransomware, identity theft, fraudulent websites, and account takeovers. You do not need to be a computer expert to understand these risks and take meaningful steps to protect yourself.
This course introduces the essential principles of cybersecurity in clear, accessible language. Through practical examples, visual explanations, real-world scenarios, and guided exercises, you will learn how common cyberattacks work, why they succeed, and how to reduce your risk.
Whether you use a computer for work, manage your finances online, communicate through social media, or simply want to browse the internet more safely, this course will help you build a stronger foundation in digital security.
What You Will Learn
-Cybersecurity Fundamentals: Understand essential security concepts, common threats, vulnerabilities, and digital risks.
-Malware and Online Scams: Recognize viruses, spyware, ransomware, phishing messages, fake websites, and social engineering attacks.
-Password and Account Security: Create stronger passwords, use password managers, enable multi-factor authentication, and protect your online identity.
-Computer and Smartphone Protection: Improve security settings, manage application permissions, install updates, and use security software appropriately.
-Network and Wi-Fi Security: Understand routers, firewalls, IP addresses, VPNs, HTTPS, and safer public Wi-Fi practices.
-Data Protection and Privacy: Learn about encryption, secure cloud storage, backups, file-sharing permissions, and digital footprints.
-Workplace Cybersecurity: Identify invoice fraud, business email compromise, and risks associated with remote work.
-Incident Response: Learn what to do if an account is compromised, suspicious software is installed, or sensitive information is exposed.
-Practical Security Exercises: Apply your knowledge through case studies, checklists, security audits, and a personal cybersecurity action plan.
A Practical, Beginner-Friendly Approach
Cybersecurity can seem complicated when you encounter unfamiliar technical terms. This course breaks those concepts into manageable lessons and uses diagrams, comparisons, examples, and step-by-step explanations to make them easier to understand.
Instead of focusing only on definitions, you will explore how threats develop and how everyday security decisions can prevent common problems.
You will examine suspicious emails, evaluate password practices, review home network security, and learn how to respond when something goes wrong. Downloadable reference materials and checklists will help you turn what you learn into practical habits.
This course is suitable for
- Beginners who want to understand cybersecurity without a technical background.
- Students and professionals who want to improve their digital safety.
- Home computer and smartphone users who want to protect their personal information.
- Remote workers who need to recognize phishing, scams, and common workplace threats.
- Small business owners who want to improve basic security awareness.
- Anyone who wants to become more confident when using online services.
No previous cybersecurity experience or programming knowledge is required.
You only need a computer or smartphone, an internet connection, and a willingness to learn. Some practical exercises involve reviewing your own security settings. You will not need to perform real cyberattacks, purchase specialized equipment, or write code.
By the end of this course, you should be able to recognize common cybersecurity threats, make better decisions about passwords and authentication, strengthen basic device and network security, protect important data, and follow a sensible response plan when a security incident occurs.
Cybersecurity is not about eliminating every possible risk. It is about understanding the risks that matter, reducing avoidable weaknesses, and developing habits that make you a more informed and resilient digital user.
Enroll today and take the first steps toward protecting your digital life.Educational disclaimer: This course provides general cybersecurity education for defensive and preventive purposes. It does not replace professional cybersecurity services, and no security measure can guarantee complete protection against every threat.
Who this course is for
Complete beginners who want to learn cybersecurity fundamentals without needing technical knowledge or previous experience.
Students and lifelong learners who want to develop practical digital safety skills and understand common cyber threats.
Home computer and smartphone users who want to protect their devices, passwords, personal files, and online accounts.
Remote workers and office employees who need to recognize phishing emails, fraudulent websites, social engineering, and workplace security risks.
Small business owners and freelancers who want to improve their basic cybersecurity practices and reduce the risk of data loss or online fraud.
People who use online banking, shopping, cloud storage, and social media and want to protect their accounts and personal information.
Anyone interested in technology and online privacy who wants to understand malware, ransomware, Wi-Fi security, encryption, backups, and digital identity theft.
https://rapidgator.net/file/dcd7c0201e0b73aac13a9a8d6387279d/Cybersecurity_for_Beginners_Protect_Your_Devices_&_Data.rar.html
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Category: Tutorials
- views: 67
- date: 18 October 2026
- posted by: 0nelove
Harness Engineering & AI Verification - Jev for AI Engineers
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 44m | Size: 351.6 MB
Learn Jev for AI Engineers- Harness Engineering & AI Verification and Jev for AI Engineers with Projects
What you'll learn
Understand Harness Engineering Fundamentals: Learn the core principles of harness engineering and how to build reliable environments
Learn Jev for AI Engineers for Harness Engineering
Design and Implement AI Agent Workflows: Develop practical skills to structure AI agents, manage tool interactions
Build Reliable and Production-Ready AI Systems: Implement monitoring, debugging, failure handling
Requirements
You must have basics understanding of RAG Fundamentals
Description
The Jev for AI Engineers: Harness Engineering & AI Verification online course is designed for developers, software engineers, and AI enthusiasts who want to understand how to build reliable, secure, and production-ready AI-powered systems. As artificial intelligence continues to evolve, engineering effective AI workflows requires more than building models and writing prompts. It also involves creating the right environment, tools, automated checks, testing strategies, and verification processes to ensure AI systems perform consistently and produce trustworthy results.
In this course, you will explore the fundamentals of harness engineering and learn how to design structured environments that help AI agents and AI-powered applications execute tasks efficiently. You will understand how to connect AI models with tools, manage workflows, handle errors, validate outputs, and improve the reliability of AI-generated results. The course also introduces important concepts related to AI verification, including testing strategies, output validation, evaluation methods, debugging, and performance monitoring.
You will learn how to identify common AI system failures, detect inaccurate outputs, verify generated code, and establish safeguards that reduce unexpected behavior. The course emphasizes practical engineering approaches for developing AI applications that are maintainable, testable, and suitable for real-world use cases. You will also explore how automation, feedback loops, and systematic evaluation can improve the quality and consistency of AI-driven workflows.
By understanding harness engineering and AI verification, you can develop a stronger foundation for building dependable AI agents, automated development workflows, and intelligent software applications. These skills are valuable for AI engineers, software developers, automation engineers, and technology professionals who want to advance their knowledge of modern AI engineering practices.
Whether you are expanding your existing AI development skills or preparing to work with advanced AI systems, this course will help you understand the engineering principles behind reliable AI applications and provide a foundation for building, testing, evaluating, and improving AI-powered solutions.
Who this course is for
AI Engineers, Software Engineers, ML Engineers, Solutions Architects
https://rapidgator.net/file/7705dd83bddfab0f710dfad2373e4c1f/Harness_Engineering_&_AI_Verification_-_Jev_for_AI_Engineers.rar.html
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Category: Tutorials
- views: 40
- date: 18 October 2026
- posted by: 0nelove
How to Study for the CFPE: Find Any Answer Fast
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 587.71 MB
A study method for the open-book Certified Fire Plans Examiner exam: know the books, find the clause, beat the clock.
What you'll learn
Explain how the CFPE exam is built and which reference books it draws on.
Candidates who know the subject but run out of time in open-book exams.
Follow a repeatable lookup path (book, chapter, clause, table row) on worked building examples.
The course does not include NFPA text.
Requirements
Engineers, plans examiners, inspectors and fire protection professionals preparing for the CFPE.
A working knowledge of building plans and fire protection systems. No prior exam experience is needed.
The course does not include NFPA text.
Description
This course contains the use of artificial intelligence.
Narration uses an AI voice cloned from the instructor's own voice; animations are code-generated with AI assistance; all technical content is written and checked by the instructor.
The CFPE is an open-book exam, and that is the trap. Most candidates do not fail because they never read the codes. They fail because they cannot find the answer in time. This course teaches one thing: how to study for the CFPE so that, on exam day, you can go from a question to the right clause quickly and with confidence.
You will learn how the current exam is built and where its questions come from, then how each reference book is organised: NFPA 101, NFPA 1, NFPA 13, NFPA 72 and the IFSTA Plans Examiner manual. You will see how to tab your books, how to plan eight weeks of study, how to use practice tests, and how to read a question so you know which book to open before you open it.
Then the method is put to work. Three example buildings (an office, a banquet hall and a hospital bed floor) are walked through lookup by lookup: occupant load, exits, stairs and doors, travel distance, fire alarm, sprinklers, smoke compartments and fire department access. Each step names the book, the chapter and the clause, so you practise the path and not just the answer. A timed walkthrough of ten exam-style questions puts the method under the clock, with the path to each answer shown, and a one-page recap sums it up.
Every clause cited in the lectures was checked against the edition named on screen, and every lecture was reviewed and approved by the instructor before release. The lectures describe where to find each requirement in plain words. They do not reproduce NFPA text, so you will need your own copies of the reference books.
About the instructor: Hussein Ragab is a Chartered Engineer, a member of CIBSE, a member of ASHRAE and a Certified Fire Protection Specialist, with more than 14 years of mechanical and fire protection design on high-rise, hospital and mixed-use projects. He sat the CFPE exam in its current format.
This course is independent. It is not affiliated with, endorsed by or sponsored by the National Fire Protection Association (NFPA) or IFSTA. CFPE, NFPA 1, NFPA 13, NFPA 72 and NFPA 101 are trademarks of the NFPA. Always confirm requirements against the edition your exam or your authority uses.
Who this course is for
Engineers, plans examiners, inspectors and fire protection professionals preparing for the CFPE.
Candidates who know the subject but run out of time in open-book exams.
Anyone who wants a faster, more reliable way to find requirements in the NFPA codes.
https://rapidgator.net/file/7d4c513bbbbe6436f90735d9b8c7f308/How_to_Study_for_the_CFPE_Find_Any_Answer_Fast.rar.html
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Category: Tutorials
- views: 46
- date: 18 October 2026
- posted by: 0nelove
Human Judgment in the Age of AI & Algorithms (2026) by Zubin Rashid
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 37m | Size: 1.42 GB
A leadership course on knowing when to trust the data, when to trust your gut, and when to do both.
What you'll learn
Identify where algorithms, scores, and AI recommendations already shape decisions on your team
Recognize automation bias and stop deferring to a tool without questioning it
Spot confirmation, anchoring, and overconfidence bias in your own decisions
Explain when human judgment outperforms an algorithm, and when it does not
Use the Trust Calibration Model to decide how much weight a recommendation deserves
Place any decision in one of four zones: Automate, Augment, Advise, or Author
Coach your team to question algorithmic recommendations with confidence and clear reasoning
Design human-in-the-loop checkpoints and ethical guardrails that keep accountability with people
Requirements
No technical, coding, or data science background is needed. Every concept is explained in plain language.
No experience with AI tools is required. If you have ever used a score, ranking, dashboard, or software recommendation at work, you already have enough context.
Any word processor, such as Microsoft Word or Google Docs, to complete the downloadable worksheets.
Optional: a real decision from your own work to practice on. If you do not have one, the examples in the course are enough.
A willingness to try the short role plays and the 30-day audit. They are where the lessons turn into habits.
Description
AI tools now score candidates, rank claims, flag risks, and recommend prices, often before a human has looked at the case. The danger is not that these tools are wrong. It is that they are right often enough that people stop asking questions, and accountability quietly moves to a dashboard nobody can explain.
This course gives leaders a practical way to stay in charge. You will learn when to trust an algorithm, when to question it, and when to override it, using a simple framework you can apply to a real decision the same day.
What you will be able to do
- Spot where algorithms already shape decisions on your team
- Recognize automation bias and the cognitive biases that distort your own judgment
- Explain when human judgment beats an algorithm, and when it does not
- Use the Trust Calibration Model to decide how much weight a recommendation deserves
- Place any decision in one of four zones: Automate, Augment, Advise, or Author
- Coach your team to question recommendations with confidence
- Design human-in-the-loop checkpoints and ethical guardrails that keep accountability with people
What is inside
Short video lessons built around real situations, from hiring and lending to retail pricing and healthcare. After each section, you practice what you learned through graded role plays, such as defending a gut call to a data-driven boss or presenting an overridden decision to your board. You also get downloadable worksheets and short readings, including sample policy language you can adapt. You finish with a 30-day judgment audit that turns the ideas into habits.
Who this course is for
Managers, senior leaders, HR and L&D professionals, and aspiring leaders in any industry. No technical background and no coding are required. If you rely on dashboards, scores, or AI recommendations to make decisions about people, money, or customers, this course is for you.
The machine advises. You decide. This course shows you how to make that true in practice.
Who this course is for
Managers and team leaders who use dashboards, scores, or AI recommendations to make decisions about people, money, or customers
Senior leaders and executives who are accountable for decisions that algorithms now help shape
HR, Talent Acquisition, and L&D professionals who use screening, scoring, or analytics tools and want to use them responsibly
Operations, finance, retail, and customer service leaders who rely on automated forecasts, pricing, or risk flags
Aspiring managers and high-potential employees who want to build sound judgment before they lead a team
Professionals in risk, compliance, and governance who need practical ways to keep a human accountable for automated decisions
This course is not for data scientists or engineers who want to build or train AI models. It focuses on how to use and oversee AI recommendations, not how to create them.
Homepage
https://rapidgator.net/file/e6318d69ba6c925d8b6f2a84aa759914/Human_Judgment_in_the_Age_of_AI_&_Algorithms.part2.rar.html
https://rapidgator.net/file/943204b5ec530518ef347eba30aefb27/Human_Judgment_in_the_Age_of_AI_&_Algorithms.part1.rar.html
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Category: Tutorials
- views: 48
- date: 18 October 2026
- posted by: 0nelove
IEC TR 61000-4-32:2002 HEMP Simulator Facilities and Testing
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 28m | Size: 17.82 GB
Understand HEMP Simulator Configurations, Field Measurements, Pulse Characteristics, and Facility Performance.
What you'll learn
Explain the fundamentals of High-Altitude Electromagnetic Pulse (HEMP) and understand its relevance to electromagnetic compatibility (EMC) and the evaluation
Identify different HEMP simulator architectures, including horizontal dipole simulators, vertical dipole simulators, and guided-wave structures, and explain the
Compare HEMP simulator facilities based on their physical configurations, generator voltage, test volume, antenna geometry, and electromagnetic field characteri
Explain the relationship between simulator geometry and electromagnetic field generation, including the significance of ground planes, antenna arrangements, and
Requirements
This course is suitable for students, engineers, technicians, researchers, laboratory personnel, and anyone interested in learning about High-Altitude Electromagnetic Pulse (HEMP) simulator facilities and their technical characteristics.
Description
"This course contains the use of artificial intelligence."
Have you ever wondered how electromagnetic pulse environments are simulated and how specialized facilities generate and measure high-intensity electromagnetic fields?
Welcome to this technical training course onIEC TR 61000-4-32:2002 – High-Altitude Electromagnetic Pulse (HEMP) Simulator Compendium.
This course introduces you to HEMP simulator facilities, their physical configurations, operating principles, electromagnetic field characteristics, and technical performance parameters. It is designed to help learners develop a structured understanding of HEMP simulator technology and its relevance to electromagnetic compatibility (EMC) testing.
What Will You Learn?
Throughout this course, you will explore different types of HEMP simulator architectures, including horizontal dipole configurations, vertical dipole simulators, and guided-wave structures. You will learn how these configurations differ and how their physical arrangements influence the electromagnetic fields produced within their test areas.
You will also become familiar with important technical parameters such as electric-field strength, magnetic-field strength, pulse rise time, pulse duration, field uniformity, antenna geometry, and test volume. These parameters are important for describing and comparing the capabilities of different simulator facilities.
The course includes technical examples of HEMP simulator facilities, allowing you to examine their configurations, generator characteristics, field measurements, and operational features. You will also explore time-domain waveforms and frequency-domain representations to understand how electromagnetic pulse characteristics can be described and evaluated.
Topics Covered in This Course
You will study the fundamentals of HEMP simulator technology, the major simulator architectures, the relationship between physical geometry and electromagnetic field generation, key electrical and electromagnetic parameters, pulse waveform characteristics, measurement and diagnostic concepts, and comparisons of different simulator facilities.
The course also introduces the importance of technical documentation and the use of the applicable IEC reference material when studying HEMP simulator technology.
Who Should Take This Course?
This course is suitable for electrical engineers, electronics engineers, EMC engineers, test and laboratory professionals, engineering students, researchers, and technical personnel working in electrical testing, aerospace, defence, or related engineering fields.
Beginners with an interest in electromagnetic compatibility and HEMP simulator technology are also welcome. A basic understanding of electrical and electronic engineering concepts will be helpful, but previous experience with HEMP simulator facilities is not required.
Why Enrol?
By completing this course, you will develop a clearer understanding of the terminology, configurations, technical parameters, and electromagnetic characteristics associated with HEMP simulator facilities. You will be better prepared to interpret technical descriptions, understand simulator comparison data, and engage in further study of electromagnetic testing technologies.
Enrol today and begin exploring the engineering principles and technical characteristics of High-Altitude Electromagnetic Pulse simulator facilities.
Learn the concepts. Understand the technology. Build your engineering knowledge.
Who this course is for
The course is also suitable for beginners with a general interest in electrical and electronic engineering. Previous experience with HEMP simulators is not required, although a basic understanding of voltage, current, and electromagnetic fields will be helpful. By studying the different simulator architectures, technical parameters, field characteristics, and facility examples, learners will develop a structured understanding of HEMP simulator technology based on the subject matter of IEC TR 61000-4-32:2002.
https://rapidgator.net/file/a0ecb6f4d5df3aba7d936986f9b521be/IEC_TR_61000-4-32_2002_HEMP_Simulator_Facilities_and_Testing.part19.rar.html
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Category: Tutorials
- views: 40
- date: 18 October 2026
- posted by: 0nelove
Manga Drawing Course For Beginner
Last updated 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 26m | Size: 7.17 GB
Learn to draw your Favourite & Own anime manga characters with better proportions, clean lines, and expressive faces.
What you'll learn
Sketch confidently from beginner to advanced level
Draw your favourite anime manga and chibi style characters in your sketchbook.
Understand simple character sketching techniques used by artists.
Learn practical methods to improve your pencil sketching skills.
Fill your sketchbook with beautiful character drawings and creative ideas.
Practice step-by-step sketching exercises that help you build confidence.
Learn the Freehand Sketching Method by Prabhu Subramaniyan to simplify character drawing.
Requirements
No previous sketching experience is required. Beginners are welcome.
Basic materials: pencil, eraser, and a sketchbook.
Interest and passion to learn manga and anime character sketching.
If you already have some drawing experience, it will be an added advantage.
Description
This course is for anime and manga fans, students, designers, and hobbyists who want to improve their character sketching skills.
Learn simplefreehand sketching techniques to draw manga characters more easily, improve your line quality and proportions, and create better facial expressions.
What Will You Learn?
- Draw anime and manga characters using simple sketching methods.
- Improve your line quality and proportions.
- Sketch facial features and expressions with more confidence.
- Draw your favourite characters more accurately.
- Develop better freehand sketching skills without depending entirely on tracing.
Who Is This Course For?
- Anime and manga fans who love drawing their favourite characters.
- Beginners who want to learn manga sketching from scratch.
- Students and hobbyists who want to improve their drawings.
- Anyone who wants to make their character sketches look better using simple techniques.
Do You Need Any Previous Experience?
No previous drawing experience is required!
All you need is a pencil and a sketchbook. Follow the lessons, practise the techniques, and start improving your manga sketching skills.
The course is designed to help beginners get started quickly, with around two hours of lessons to guide you through the fundamentals of manga character sketching.
Pick up your pencil, start sketching, and take your first step towards drawing manga characters with confidence!
Who this course is for
Learn to Sketch It In Your Style Own Manga
Beginners who want to start manga and anime character drawing.
Students who love anime, manga, and chibi art styles.
Anyone who wants to improve their sketching hobby.
People who want to fill their sketchbook with beautiful character drawings.
Intermediate learners who want to strengthen their character sketching fundamentals.
Homepage
https://rapidgator.net/file/e1907a33f86efd8adb2a824e8f995cba/Manga_Drawing_Course_For_Beginner.part8.rar.html
https://rapidgator.net/file/ab08e6f4958256595bb99bef2395d642/Manga_Drawing_Course_For_Beginner.part7.rar.html
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https://rapidgator.net/file/a34ba7c493c8b0437cebe3e9f85e9f7c/Manga_Drawing_Course_For_Beginner.part1.rar.html
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Category: Tutorials
- views: 49
- date: 18 October 2026
- posted by: 0nelove
Master the Art of Small Talk
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 9m | Size: 725.43 MB
Develop Confident Communication, Overcome Awkward Silence, Build Rapport, and Improve Workplace Relationships
What you'll learn
Foundations of Small Talk
Starting Conversations
Keeping the Conversation Flowing
Building Connection
Requirements
Desire to learn
Description
Do you ever struggle to start conversations with colleagues, clients, or senior leaders?
Have you attended networking events, sprint ceremonies, or team meetings and wished you knew exactly what to say?
If you're an IT professional, your technical expertise may get you hired—but your communication skills and ability to build relationships often determine how far your career grows.
This practical course is designed specifically for professionals in the IT industry who want to communicate with confidence, build meaningful workplace relationships, and make every conversation count.
Whether you're a software developer, Scrum Master, Project Manager, Product Owner, Business Analyst, QA Engineer, Team Lead, Engineering Manager, or someone just beginning your IT career, you'll learn how to engage in natural, authentic conversations without feeling awkward or forced.
Instead of generic communication advice, this course focuses on real workplace situations that IT professionals experience every day.
You'll learn how to
- Start conversations confidently with colleagues and clients
- Break the ice during meetings, workshops, and networking events
- Keep conversations flowing naturally
- Ask engaging questions that build trust
- Listen actively and make people feel heard
- Handle awkward silences with confidence
- Build rapport with stakeholders and cross-functional teams
- Transition from small talk to meaningful professional conversations
- Network confidently at conferences, meetups, and company events
- Create positive first impressions that leave a lasting impact
- Improve communication in remote and hybrid work environments
- Build stronger workplace relationships that support career growth
Throughout the course, you'll explore practical frameworks, conversation templates, workplace scenarios, and exercises that you can apply immediately in your daily interactions.
By the end of this course, you'll no longer wonder what to say next—you'll have a proven toolkit for building confidence, strengthening relationships, and communicating effectively in any professional setting.
Who This Course Is For
This course is ideal for
- Software Developers
- Scrum Masters
- Project Managers
- Product Owners
- Business Analysts
- QA/Test Engineers
- DevOps Engineers
- Engineering Managers
- Agile Coaches
- Technical Leads
- IT Consultants
- Customer Success Professionals
- Fresh Graduates entering the IT industry
- Anyone who wants to improve workplace communication and networking skills
Why Take This Course?
Unlike generic communication courses, this course is tailored specifically for IT professionals and covers conversations you'll encounter in
- Daily Stand-ups
- Sprint Planning
- Sprint Reviews
- Retrospectives
- One-on-One Meetings
- Client Calls
- Stakeholder Meetings
- Interviews
- Coffee Chats
- Networking Events
- Team Lunches
- Conferences
- Virtual Meetings
- Remote Collaboration
What You'll Learn
By the end of this course, you'll be able to
- Confidently initiate conversations in professional settings
- Build rapport quickly with colleagues, clients, and stakeholders
- Use proven conversation frameworks to avoid awkward silences
- Develop active listening skills that strengthen relationships
- Ask thoughtful follow-up questions that keep conversations engaging
- Navigate networking events with confidence
- Improve your workplace presence and personal brand
- Build long-term professional relationships that support career growth
No Prior Experience Needed
You don't need to be an extrovert or a natural conversationalist.
Whether you're an introvert, a seasoned professional, or just starting your career, this course provides practical techniques that anyone can learn and apply immediately.
Your next great career opportunity could begin with a simple conversation. Enroll today and master the art of small talk in the IT workplace!
Who this course is for
Software Developers
QA Engineers/Testers
Scrum Masters
Product Owners
Project Managers
Fresh Graduates & Campus Hires
https://rapidgator.net/file/7c1af7f180e863bfbbce72130240f749/Master_the_Art_of_Small_Talk.rar.html
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Category: Tutorials
- views: 51
- date: 18 October 2026
- posted by: 0nelove
Medical Terminology 101: Learn Medical Words from Scratch
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 53m | Size: 1.26 GB
Learn Prefixes, Suffixes, Anatomy, Clinical Terms for Healthcare And Exam Success
What you'll learn
Understand the Fundamentals of Medical Terminology — Explain the basic structure of medical words and recognize how medical language is used in healthcare
Identify Medical Prefixes, Root Words, and Suffixes — Recognize common word parts and explain how they combine to form medical terms.
Decode and Construct Medical Terms — Break down unfamiliar medical words into their components to determine their meanings and construct terms
Pronounce Medical Terms Correctly — Apply basic pronunciation rules to communicate medical terminology clearly and confidently.
Understand Human Anatomy and Physiology Terminology — Identify common anatomical terms related to body regions, organs, tissues, and body systems.
Recognize Terms Related to Major Body Systems — Understand common medical terminology associated with the cardiovascular, respiratory, digestive, nervous, etc
Interpret Common Medical Abbreviations and Acronyms — Recognize frequently used medical abbreviations and acronyms and understand the importance of using them
Understand Medical Terms Related to Diseases and Symptoms — Interpret terminology associated with common signs, symptoms, diseases, diagnostic procedures.
Apply Medical Terminology in Healthcare Settings — Use appropriate medical vocabulary in patient records, healthcare documentation, medical administration
Build Confidence in Learning and Using Medical Language — Develop the skills needed to understand unfamiliar medical terms independently
Requirements
No requirements
Description
Medical terminology doesn't have to feel like a foreign language.
Words such astachycardia ,hypoglycemia , andgastroenteritis may look intimidating at first. Once you understand how medical terms are built, you can begin to decode their meanings and recognize patterns across healthcare vocabulary.
This course helps you build a practical foundation in medical terminologyso you can approach healthcare studies and workplace communication with greater confidence.
Whether you are preparing for a healthcare career, studying a health-related subject, or working in a medical or dental office, understanding medical language is an essential starting point.
Build understanding instead of relying on memorizationExplore how prefixes, word roots, and suffixes work together to describe body structures, conditions, symptoms, and procedures. Connect unfamiliar words to concepts you already understand, and develop a method for making sense of new terminology as your knowledge grows.
For example
-Tachycardia: "tachy-" means fast, and "-cardia" refers to a heart condition.
-Hypoglycemia: "hypo-" means low, "glyc" refers to sugar, and "-emia" refers to a blood condition.
-Gastritis: "gastr" refers to the stomach, and "-itis" means inflammation.
Learning these building blocks makes medical vocabulary more approachable and gives you a foundation you can continue to use throughout your education and career.
Why learn medical terminology?Medical language appears in appointment requests, referrals, patient records, clinical discussions, and educational materials .A stronger understanding of this vocabulary can help you follow healthcare conversations, recognize familiar terms in documentation, and communicate more precisely within your role.
Who is this course for?
- Students preparing for medical, nursing, dental, and allied health programs.
- Medical office administrators, receptionists, and healthcare support staff.
- Learners reviewing terminology before further healthcare training.
- Anyone interested in better understanding the language used in healthcare.
You do not need to know every medical word to get started. Begin with the building blocks, develop your vocabulary step by step, and make unfamiliar terminology easier to understand.
Enroll today and take the first step toward understanding the language of healthcare.
Who this course is for
Beginners with No Medical Background who want to learn medical terminology from scratch in a simple, structured, and easy-to-understand way.
Students Entering Healthcare Programs who want to build a strong foundation in medical language before starting their studies.
Medical Office Administration Students who need to understand medical terms used in patient records, appointment scheduling, medical documentation, and healthcare communication.
Dental Assistants and Dental Office Professionals who want to strengthen their understanding of medical terminology used in dental settings and patient health histories.
Nursing and Practical Nursing Students who want to improve their understanding of medical vocabulary related to anatomy, diseases, symptoms, and clinical procedures.
Medical Assistants and Healthcare Support Workers who want to develop the terminology skills needed to work confidently in healthcare environments.
Internationally Educated Healthcare Professionals who want to refresh their medical vocabulary and become more familiar with English-language medical terminology used in North American healthcare settings.
Newcomers to Canada and Other English-Speaking Countries who are preparing for healthcare-related education or administrative careers and want to improve their understanding of medical language.
Healthcare Receptionists, Medical Secretaries, and Administrative Staff who regularly encounter medical terminology in patient communication, electronic health records, referrals, and clinical documentation.
Anyone Interested in Healthcare and Human Anatomy who wants to understand medical words, common diseases, body systems, and clinical language for personal learning or future career development.
https://rapidgator.net/file/8b48eec5cd5a7c157327864332caaa5c/Medical_Terminology_101_Learn_Medical_Words_from_Scratch.part2.rar.html
https://rapidgator.net/file/5941a55547f3e3348da884814a6c245a/Medical_Terminology_101_Learn_Medical_Words_from_Scratch.part1.rar.html
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Category: Tutorials
- views: 52
- date: 18 October 2026
- posted by: 0nelove
Natural Products and Evidence-Based Biomedicine
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 2h 6m | Size: 590.65 MB
Investigate natural-product claims, evaluate safety and clinical evidence, and build a university-style research dossier
What you'll learn
Define the material and preparation behind a natural-product claim.
Distinguish traditional knowledge, mechanistic findings, preclinical evidence and clinical benefit.
Identify experimental controls, units, biases and exposure limitations.
Appraise a clinical paper and systematic review with appropriate undergraduate support.
Interpret effects, uncertainty and surrogate outcomes without advanced statistical derivation.
Explain product variability, safety uncertainties and potential interactions responsibly.
Communicate a balanced evidence conclusion with verified sources.
Build and defend an ethically feasible desk-based evidence dossier and research proposal.
Requirements
Basic cell biology and introductory statistics are helpful. No advanced chemistry, clinical licence or advanced mathematics is required. Be willing to read original studies and complete guided evidence exercises.
Description
This course contains the use of artificial intelligence. AI assists scripts, original visual production and the synthetic conversational voices.
A plant can inspire a discovery. What evidence supports the health claim?
A product label promises benefits. A laboratory image looks convincing. A biomarker changes after treatment. Before accepting the conclusion, ask: What was tested, how was it studied, and what outcome was actually measured?
Explore these questions withDr. Shu-Chen Hou and a curious host in a conversational, 16-week university-style course. Each discussion leads into a practical decision workshop, helping you move from an appealing natural-product story to a justified biomedical interpretation.
What you will learn to do
- Distinguish natural origin and traditional use from demonstrated health effects.
- Evaluate botanical identity, preparation, extracts, fractions and isolated constituents.
- Question controls, biological replication, assay interference and animal-to-human relevance.
- Trace the evidence needed to connect dose, exposure, mechanism and clinical outcomes.
- Appraise observational studies, trials and reviews without confusing association or biomarker response with patient benefit.
- Communicate safety limitations and develop a source-based evidence dossier with a feasible research proposal.
Follow the evidence from product to patient
Begin with product identity and chemical composition. Progress through cell experiments, preclinical models, exposure and safety. Then interrogate clinical trials, uncertainty, evidence synthesis and responsible translation. Finish by reviewing claims, defending your evidence dossier and explaining the next research step.
Worked readings include published research on Echinacea, Ginkgo, vitamin D and fractures, cranberry products, and artesunate. These cases show why preparation, population, comparator and outcome matter. Original diagrams explain the science; fictional numerical examples are clearly labelled as teaching data.
Learn through conversation and decisions
The host presents a realistic problem, challenges an assumption and asks you to decide before Dr. Hou explains the reasoning. Pause to improve a research question, inspect a chemical fingerprint, spot a design weakness, interpret risk or rewrite an overstated headline.
Your semester toolkit
Download the semester handbook, Traditional Chinese syllabus, weekly worksheets, research readings, assignment instructions, templates and self-assessment rubrics. Build a journal-club appraisal, mid-semester critique and final evidence dossier. Model reasoning helps you review your work after attempting each task.
Who this course is for
Undergraduate students in biomedical sciences, life sciences, pharmacy and related disciplines, and other learners with basic biological knowledge who want to examine natural-product evidence critically.
About your instructor
Shu-Chen Hou, PhD, earned a PhD in Medicine at the University of Bristol, with doctoral training in the Faculty of Medicine & Dentistry, School of Clinical Sciences. Her research background includes natural products, Taiwanese medicinal plants, bone biology, primary cell culture, preclinical research, translational evidence and scientific publishing.
Course format and accessibility
The course contains 16 units, 32 core conversational lectures, a welcome and a final summary. The semester plan combines videos with guided reading, workshops and assignments; planned learning hours are separate from recorded runtime. English narration is supported by captions in English, Simplified Chinese, Traditional Chinese, Japanese, Korean, Brazilian Portuguese, French and German.
This independent educational course awards no university credit. Udemy learners use self-assessment; individual instructor grading is not promised. It provides no personal diagnosis, prescribing or treatment and does not qualify learners as clinicians, analytical chemists or systematic-review specialists. Activities require no ingestion, unsupervised laboratory work or participant recruitment.
Who this course is for
Undergraduate biomedical, life-science and health-science students, especially year 2 and above; learners seeking careful natural-product evidence appraisal rather than individual prescribing instruction.
https://www.uploadcloud.pro/n86bzjxfjqfp/Natural_Products_and_Evidence-Based_Biomedicine.rar.html
https://rapidgator.net/file/f652c5736a4474fa897d3929f3dc8872/Natural_Products_and_Evidence-Based_Biomedicine.rar.html
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