• views: 38
• date: 21 October 2026
• posted by: DrZero

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• date: 21 October 2026
• posted by: 0nelove

Documentation and Record Keeping for Office Administrators
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 23m | Size: 1.2 GB

Master Documentation and Record Keeping for accurate, organized, secure, and accessible office information.

What you'll learn
Explain the purpose of office documentation and the administrative value of reliable records.
Distinguish between documents, records, reference materials, drafts, copies, and official versions.
Create professional letters, emails, reports, forms, agendas, and meeting minutes.
Apply consistent formatting, layout, headings, numbering, tables, and presentation standards.
Proofread office documents for accuracy, clarity, completeness, grammar, and consistency.
Compare alphabetical, numerical, chronological, subject-based, and digital filing systems.

Requirements
Suitable for both new and experienced learners

Description
This course contains the use of artificial intelligence.

Every office decision creates information that may need to be communicated, reviewed, updated, retrieved, or retained. Emails, meeting minutes, letters, forms, invoices, reports, schedules, personnel files, and customer records all contribute to an organization's documentary history. When these materials are inaccurate or poorly organized, employees may use outdated information, miss deadlines, duplicate work, or disclose content to unauthorized people. Effective documentation and record keeping create a dependable information trail that supports daily operations, accountability, continuity, and informed decision-making.

These skills remain relevant across a large section of the U.S. workforce. Secretaries and administrative assistants held approximately3.5 million jobs in 2025, and about314,400 openings are projected annually from 2025 to 2035, mainly because workers will transfer occupations or leave the labor force. Information clerks held nearly1.29 million positions, with approximately125,600 openings projected each year during the same period. Although digital tools and automation are changing routine office work, employers still need personnel who can check information, apply filing rules, maintain reliable records, and use technology responsibly.

Across5 modules, learners follow information through the main stages of its office lifecycle. The course begins with documentation principles, record types, administrative responsibilities, accuracy, consistency, and document purpose. Learners then examine how to create professional letters, emails, reports, forms, agendas, minutes, and other workplace documents for specific audiences. A separate module addresses layout, formatting, headings, tables, numbering, proofreading, readability, and visual consistency so that documents communicate information clearly.

The remaining modules focus on filing, classification, and digital document management. Learners examine alphabetical, numerical, chronological, subject-based, and electronic classification methods, along with indexing, naming conventions, metadata, version identification, access permissions, backup, retrieval, and controlled disposal. They also consider how confidentiality, retention requirements, and organizational policies influence the treatment of records throughout their lifecycle. By completing the course, learners can support orderly office information systems while recognizing that retention periods, privacy duties, and disposal rules must follow the requirements applying to their organization and jurisdiction.

Learning Outcomes
By the end of this course, learners will be able to

- Explain the purpose of office documentation and the administrative value of reliable records.

- Distinguish between documents, records, reference materials, drafts, copies, and official versions.

- Create professional letters, emails, reports, forms, agendas, and meeting minutes.

- Apply consistent formatting, layout, headings, numbering, tables, and presentation standards.

- Proofread office documents for accuracy, clarity, completeness, grammar, and consistency.

- Compare alphabetical, numerical, chronological, subject-based, and digital filing systems.

- Apply naming conventions, metadata, access controls, version identification, and retrieval methods.

- Recognize when records require secure storage, restricted access, retention, authorized disclosure, or disposal.

Who this course is for
New and experienced office administrators.
Administrative assistants and executive assistants.
Receptionists, office clerks, and filing personnel.
Document controllers and records support staff.
Office managers and administrative supervisors.

Homepage

https://www.udemy.com/course/documentation-and-record-keeping-for-office-administrators/

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• views: 52
• 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/

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• 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/

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• 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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• 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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• 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/

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• 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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• 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!

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• views: 31
• 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

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• 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/

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• 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/

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• views: 35
• date: 21 October 2026
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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/

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• 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/

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• 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/

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• 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/

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• 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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• 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

https://www.udemy.com/course/third-party-risk-management-eba-dora-cifs/

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• 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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