Category: Tutorials
- views: 141
- date: 15 October 2026
- posted by: 0nelove
Dayan Chi Kung: Master the 64 Forms of Wild Goose Qigong
Published 10/2026
Created by I&I Sports Supply Company
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 35m ) | Size: 6.4 GB
What you'll learn
⚡ Individuals seeking low-impact exercises for health, longevity, and stress reduction.
⚡ Practitioners of Tai Chi or other Qigong styles looking to broaden their internal arts knowledge.
⚡ Seniors or those interested in traditional Chinese "Elderly Physical Culture" for vitality.
⚡ Anyone interested in Taoist philosophy and its practical application through movement.
Requirements
❗ Individuals seeking low-impact exercises for health, longevity, and stress reduction.
Description
✨ Note: This course contains the use of artificial intelligence in the form of AI Voiceover which was used ONLY in course trailer
✨ Welcome to the definitive guide toDayan Chi Kung, more commonly known as theWild Goose Breathing Exercise. This ancient healing art, handed down through the exclusive Taoist Kunlun School, is now accessible to you through the expert guidance of the lateGrandmaster Wen-Mei Yu.
Master Yu was a world-renowned authority in Chinese internal martial arts, Taijiquan, and Qigong. With over 40 years of teaching experience, including her tenure as a professor at Jin Wu Athletic College, she brings a deep, scholarly, and practical understanding of how these movements interact with the body's energetic systems.
What is Dayan Chi Kung? Dayan Chi Kung literally translates to "Wild Goose Breathing Exercise." It is a specialized system that imitates the graceful postures and movements of the wild goose while assimilating ancientDao Yin methods. The practice is unique for its rhythm—alternating between vigorous and gentle movements, and balancing motion with profound stillness.
The Benefits: This practice is designed to clear theJingmai—the pathways through whichChi (vital energy) flows. By following this 64-form sequence, practitioners aim to
✨ Promote healthy blood circulation.
✨ Clear energetic blockages in the meridian system.
✨ Balance the body's internal organs.
✨ Enhance overall longevity and mental clarity.
In this comprehensive series, Grandmaster Yu provides a full demonstration of the 64-form set, explains the essentialacu-meridian points, and offers meticulous, step-by-step instruction. Whether you are seeking a daily health ritual or a deeper connection to Taoist internal arts, this course serves as an essential companion for your wellness journey.
4. What You'll Learn (4 short points)
✨[REQUIRED] What will students learn in your course?
✨
✨ Master the complete 64-form sequence of Dayan (Wild Goose) Chi Kung with precision.
✨
✨ Understand the basic acu-meridian points and how they relate to the flow of vital energy (Chi).
✨
✨ Apply ancient Dao Yin methods to balance vigorous movement with meditative stillness.
✨
✨ Develop a daily practice to promote blood circulation and clear the body's energy pathways (Jingmai).
Who this course is for
⭐ No prior experience in Qigong or martial arts is required; movements can be adapted for most fitness levels.
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Category: Tutorials
- views: 140
- date: 15 October 2026
- posted by: 0nelove
Digital Health Masterclass: Strategy, AI & Implementation
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 13h 32m | Size: 7.49 GB
Health informatics, AI in healthcare, telemedicine, HL7 FHIR & digital health strategy for any health system
What you'll learn
Choose, evaluate and safely govern AI tools in clinical care using a practical scorecard grounded in WHO ethics and LMM guidance
Design a digital health strategy and investment case using WHO frameworks, adaptable to any national or organisational health system
Plan a digital health rollout from pilot to scale: requirements, procurement, change management, go-live, M&E and sustainability
Build a complete Digital Health Implementation Plan for your own project, using 15 ready-to-use professional templates
Explain how EHRs, DHIS2, LIS and telehealth exchange data with HL7 FHIR, ICD-11 and OpenHIE, and test it on a public FHIR server
Set up a safe telemedicine service: models, clinical safety, consent, licensing and low-bandwidth options for real settings
Protect patient data across GDPR, HIPAA and African and Asian data laws, and run a data protection impact assessment
Turn routine health data into decisions with data-quality checks, the right indicators and dashboards people actually use
Requirements
No coding or technical background needed - every technical idea is explained from first principles.
A computer with a modern web browser and internet access (for the free public demos).
Optional: a spreadsheet app for the costing and dashboard exercises; one optional FHIR exercise uses a command line (a browser alternative is shown).
Curiosity about how technology can improve health care.
Description
This course contains the use of artificial intelligence.
Most digital health projects fail for reasons that have little to do with the technology: strategy, people, data, safety and money were planned apart. This masterclass shows you how to plan them together, from the foundations of digital health to a real implementation in a hospital, a district, a country or a start-up. It is global by design, with cases from the US, UK and Europe, India and Africa, so what you learn works in any health system, including low-resource settings.
Plan, Govern and Scale Digital Health and AI in Any Health System
Created by a physician who designs, builds and implements digital health and AI systems, this course gives you the frameworks, the evidence and the working tools to do the same.
What makes this course different
- Designed and checked by a physician-implementer. Dr. Temesgen Endalew designed the curriculum, shaped and edited every lecture script, selected and checked the evidence, and built the templates and assessments. Most cases are real and cited to peer-reviewed research or official sources.
- Clear, calm delivery - no slide reading. A professional AI voice narrates over picture-led visuals, with accurate English captions written from the script.
- Hands-on, without coding. Guided, step-by-step walkthroughs you repeat yourself on free public demo systems: explore a DHIS2 health information system, tour the OpenMRS open-source EMR, read an HL7 message line by line, search and create synthetic data on a public HL7 FHIR server, and build a district dashboard in a spreadsheet from sample data.
- A complete toolkit. 15 practical templates you can use at work: strategy canvas, requirements template, interoperability checklist, telehealth SOP, DPIA template, AI evaluation scorecard, vendor/RFP checklist, total-cost-of-ownership calculator, go-live checklist and risk register.
- A finished capstone. Step by step, you build your own Digital Health Implementation Plan.
What you will learn
- Digital health foundations - eHealth, mHealth, telehealth and health informatics; the WHO classification of digital interventions; maturity assessment.
- Strategy and governance - how to build a digital health strategy and investment case using WHO frameworks.
- Health information systems - EHR/EMR, HMIS and DHIS2, laboratory, pharmacy, imaging, registries and identity.
- Interoperability - HL7 v2, HL7 FHIR, ICD-11, SNOMED CT, LOINC and OpenHIE, explained without jargon.
- Telemedicine and virtual care - models, clinical safety, regulation, low-bandwidth options and business models.
- mHealth and the frontline - community health information systems, SMS/USSD, offline-first design and WHO SMART Guidelines.
- Data to decisions - data quality, indicators and dashboards that people actually use.
- AI in healthcare - what AI can and cannot do, large language models, AI scribes, how AI fails, and how to read an AI study.
- AI governance and safety - WHO guidance, regulation, an AI evaluation scorecard and safe use of LLMs.
- Privacy, security and ethics - GDPR, HIPAA and data protection laws in Africa and Asia, DPIAs and cybersecurity.
- Implementation from pilot to scale - requirements, procurement, change management, training, go-live and scaling.
- Monitoring, evaluation and sustainability - logic models, evaluation designs, total cost of ownership and financing.
- Careers and leadership - roles, skills and how to move into digital health.
Course format: over 13 hours of video in 152 short lectures (most 4-7 minutes), 14 section quizzes with 106 questions, four practical assignments with model answers, a 60-question final practice test with explained answers, 15 downloadable templates plus a synthetic sample dataset, accurate English captions written from the script, and a Udemy certificate of completion. Lectures that go deeper for clinical or technical learners carry a Clinical or Technical tag, so you can stay or skip. 2026 edition, updated yearly.
Real cases you will study include India's eSanjeevani, a public telemedicine service that passed 500 million consultations in 2026; Babyl, Rwanda's nationwide private telehealth service that halted in 2023 as its parent company collapsed; Uganda's 2012 moratorium on mHealth pilots; England's National Programme for IT, which cost close to GBP 10 billion; a diabetic-retinopathy AI tested in Thai clinics; and a widely used sepsis prediction model that did not hold up in external validation. The rest are teaching scenarios built from common patterns, and each one is labelled as a composite case.
If you want to lead digital health - not just talk about it - enrol now and start building your plan today.
Transparency: Dr. Temesgen Endalew designed and structured this course, chose every case and source, and is responsible for every claim in it. Scripts, slide visuals and quiz and test questions were drafted with AI tools from his outline and sources, then fact-checked against the cited references and edited by him. The lectures are narrated by a professional AI voice.
This course contains a promotion.
Who this course is for
Doctors, nurses, pharmacists, laboratory and public health professionals moving into digital health or informatics roles
Health IT, software, data and product professionals who need to understand how health systems really work
Hospital, ministry and NGO managers responsible for digital health programmes
Digital health founders, consultants and investors who want implementation that lasts
Students of medicine, public health, health informatics and health management
Anyone preparing to lead an EHR, telemedicine, data or AI project in health care
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Category: Tutorials
- views: 121
- date: 15 October 2026
- posted by: 0nelove
Drawing Is Everything: Construct to Deconstruct
Published 10/2026
Created by Robert Joyner
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 21m ) | Size: 1.9 GB
Build structure, break it apart with intention, then use time and repetition to draw simpler, looser, more expressive
What you'll learn
⚡ Mindset + The System Overview
⚡ Why Finished Art Is A Trap
⚡ Construct → Deconstruct: Simple Objects
⚡ Complex Subject Construction
⚡ Complex Subject Deconstruction
⚡ Progressions: Train Speed + Confidence and much more...
Requirements
❗ Basic drawing skills and materials.
Description
You don't have a drawing problem. You have a thinking problem.
This is the process that drives the entire Deconstruction Lab:Construct → Deconstruct → Progress.
Construct: see your subject structurally and build it with understanding, not copying. Deconstruct: break it apart, draw it faster, and cut what isn't essential. This is where expression begins. Progress: push until it falls apart. 2 minutes, 1 minute, 30 seconds. Time forces simplification, and repetition rewires your brain.
What you'll learn
✨ Why finished art is a trap
✨ Constructing and deconstructing simple and complex subjects
✨ Timed progressions to train speed and confidence
✨ Drawing two and three objects: relationships, spacing, and decisions
✨ Line and mark making: variety without chaos
✨ Drawing from the wrist, elbow, and shoulder
✨ Angles vs. curves: how edges create energy
✨ Three ways to build form
✨ How to push a drawing until it breaks, then recover it
How the class works
✨ 16 lessons
✨ 7 assignments
✨ Self-paced, with demos you can draw along with
Who it's for
Anyone who wants looser, more confident drawing. Best after Drawing Fundamentals.
Build structure, break it apart with intention, then use time and repetition to draw simpler, looser, and more expressive.
Suited for all levels and anyone that wants a reliable approach to loosening up.
Who this course is for
⭐ Anyone who wants looser, more confident drawing. Best taken after Drawing Fundamentals, since this class applies those ideas.
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Category: Tutorials
- views: 194
- date: 15 October 2026
- posted by: 0nelove
Forward Deployed Engineer
Published 10/2026
Created by JayTech AI Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 8h 15m ) | Size: 4 GB
Learn customer discovery, APIs, AI agents, system integration, and real-world Forward Deployed Engineer
What you'll learn
⚡ Conduct structured customer and stakeholder discovery.
⚡ Translate business problems into technical requirements.
⚡ Design technical architectures for complex customer environments.
⚡ AI application development and deployment
⚡ Python programming and API integration
⚡ AI workflow automation
Requirements
❗ Learners should have basic familiarity with one or more of the following: Software development APIs Databases Cloud computing Technical product implementation Basic programming concepts Advanced programming expertise is not required for every section.
Description
"This course contains the use of artificial intelligence."
Forward Deployed Engineers bridge the gap between advanced technology and business needs. They work directly with clients and organizations to understand complex problems, develop customized technical solutions, integrate AI systems, and deliver measurable business results.
In this hands-on course, you'll explore the essential skills, tools, and strategies needed to succeed as a Forward Deployed Engineer in today's rapidly evolving AI industry.
Whether you're a software developer, AI enthusiast, IT professional, consultant, or aspiring technology engineer, this course will help you develop the technical and business skills required to deliver practical AI solutions.
What You'll Learn
By the end of this course, you will be able to
✨ Understand the role and responsibilities of a Forward Deployed Engineer.
✨ Identify business challenges and translate client requirements into technical solutions.
✨ Design and develop AI-powered applications and intelligent automation workflows.
✨ Integrate APIs, databases, large language models (LLMs), and enterprise systems.
✨ Apply prompt engineering and AI agent development techniques.
✨ Build scalable solutions using modern software engineering principles.
✨ Understand cloud infrastructure, deployment workflows, and system integration.
✨ Implement testing, monitoring, security, and responsible AI practices.
✨ Collaborate effectively with clients, technical teams, and business stakeholders.
✨ Manage real-world AI implementation projects from discovery to deployment.
✨ Develop a portfolio of practical Forward Deployed Engineering projects.
✨ Explore career opportunities in AI engineering, technical consulting, and enterprise AI deployment.
Course Highlights
Practical AI Engineering: Learn how AI technologies can be applied to solve business problems.
Real-World Applications: Explore practical use cases involving AI automation, enterprise integrations, and intelligent systems.
Client-Focused Problem Solving: Develop the communication and technical skills needed to work directly with organizations.
End-to-End Deployment: Understand the complete lifecycle of designing, building, testing, and deploying technical solutions.
Career Development: Discover how to position yourself for Forward Deployed Engineer roles in AI companies, technology firms, startups, and consulting organizations.
Who this course is for
⭐ Software Engineers and Developers
⭐ AI and Machine Learning Engineers
⭐ Computer Science Students and Graduates
⭐ IT Professionals and Cloud Engineers
⭐ AI Consultants
⭐ Data Scientists and Data Engineers
⭐ Career Changers
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Category: Tutorials
- views: 121
- date: 15 October 2026
- posted by: 0nelove
Fabulous Adventures in Data Structures and Algorithms,Video Edition
Released 9/2026
By Eric Lippert
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 28m | Size: 2.2 GB
"Rigorous, curious, quietly funny, and extraordinarily generous with hard-won insight."
"Rigorous, curious, quietly funny, and extraordinarily generous with hard-won insight." —Scott Hanselman, MicrosoftFabulous Adventures in Data Structures and Algorithms invites you to step off the beaten path and explore interesting, unfamiliar, and even exotic algorithms that will challenge your perspective and elevate your code. Legendary language designer Eric Lippert guides you with a refreshing, conversational approach, providing beautifully practical examples that highlight the recurring patterns behind stubborn coding problems. You'll begin with a fresh look at foundational, thread-safe, and persistent immutable data structures. Lippert demystifies stacks, queues, and finger-tree deques, illustrating how to manage memory efficiently through persistence. For developers working in highly concurrent, cloud native environments, these patterns will help you eliminate hard-to-spot race conditions and state-mutation bugs. Your fabulous adventure then turns to structural search, compiler design, and the integration of functional programming within mainstream object-oriented languages. You'll dive into Directed Acyclic Word Graphs (DAWGs), greedy pretty printers, and the complexities of tree unification. This section bridges theory and real-world tools, teaching you how to design highly modular compilers or robust static analysis engines and to write declarative, composable, and expressive APIs. In the final leg of your journey, you'll model randomness, statistical reasoning, and continuous probability—core concepts for AI and predictive analytics. Lippert introduces advanced Bayesian and monadic techniques, teaching you how to construct joint distributions and sample them using the powerful Metropolis algorithm. This statistical toolkit aligns perfectly with modern data-driven systems that need to make consistent, sound decisions under real-world uncertainty. In the age of AI coding, implementation is becoming cheaper. AI can write code, but it cannot relieve developers of responsibility for understanding what the code means, why a given solution was chosen, how it will scale, and whether the problem has been framed correctly. This book develops exactly that judgment. It teaches the part that is becoming more valuable: recognizing, selecting, questioning, and evaluating the ideas behind implementations. It is an apprenticeship in computational taste, taught through unusual and memorable examples.About the TechnologyAbout the BookWhat's Inside
Build highly efficient, thread-safe concurrent systems using immutable parts
Compress massive data representation sizes using memoized quadtrees and DAWGs
Solve complex compiler optimizations using unification and backtracking search
Automate precise, mathematically sound decisions under real-world uncertainty
About the ReaderFor working programmers familiar with C#, Java, or Python.About the AuthorEric Lippert has designed programming languages, compilers, and developer tools for Microsoft, Coverity, and Facebook. He was a key member of the C# language design team and writes at ericlippert.com.QuotesFilled with real-life examples and unique experiences drawn from the author's career journey. A true gem.- Anton Gubarenko, Independent iOS Consultant, Mentor, and Startup AdvisorGoes well beyond the typical text on data structures and algorithms.- Ronald Mak, Author of Software Design for Python ProgrammersSucceeds in making advanced topics accessible without oversimplifying them.- Stepan Plotytsia, Grid Dynamics Holdings, Inc.Balances beautifully practical examples with theoretical knowledge in a way I have rarely seen.- Marc Staff, Arcelor MittalA bit of knowledge explained by someone who understands it well and sees the practical side of it.- Oleksandr Kaleniuk, Materialise N. V.This book should be on every programmer's bookshelf!- Christof Ullwer, independent computer scientistIt's informative, the writing is a breath of fresh air, and the author truly does take you on a fabulous adventure.- Clyde Kallahan, Unlocked Labs
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Category: Tutorials
- views: 136
- date: 15 October 2026
- posted by: 0nelove
Hybrid and Multi-cloud Data Architecture: The Big Picture
Released 10/2026
By Landon Fowler
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 24m 18s | Size: 320.5 MB
Organizations rarely choose hybrid or multi-cloud deliberately; they inherit it through acquisitions, regulatory pressure, vendor decisions, and AI initiatives, and then struggle to explain the architecture they ended up with.
Organizations rarely choose hybrid or multi-cloud deliberately; they inherit it through acquisitions, regulatory pressure, vendor decisions, and AI initiatives, and then struggle to explain the architecture they ended up with. In this course, Hybrid and Multi-cloud Data Architecture: The Big Picture, you'll gain the ability to explain the strategic drivers and core concepts behind hybrid and multi-cloud data architecture. First, you'll explore what genuinely separates a hybrid cloud data strategy from a multi-cloud one, and why the distinction changes every decision that follows. Next, you'll discover the business risks that concentrating data in a single cloud or a single tenant quietly creates, from blast radius to lost commercial leverage. Finally, you'll learn how the four core design drivers of resilience, cost, sovereignty, and vendor lock-in avoidance shape real architectures, and why AI workload growth is accelerating hybrid and multi-cloud adoption faster than any prior trend. When you're finished with this course, you'll have the skills and knowledge of hybrid and multi-cloud data architecture needed to reason confidently about where your organization's data belongs and defend that reasoning to technical and business stakeholders alike.
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Category: Tutorials
- views: 124
- date: 15 October 2026
- posted by: 0nelove
Learn Solidworks
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 605.86 MB
Learn the fundamentals of Solidworks and create your first 3D modes from scratch
What you'll learn
Navigate the Solidworks interface and understand the essential tools and commands
Create and fully define 2D sketchins using sketch tools,relations and dimensions
Build 3D parts using fundamental Solidworks modeling features
Apply Design intent and create models that are easy to modify and update
Create and manage multi-feature mechanical parts
Create assemblies and understand how components work together
Create professional engineering drawings from 3D models
Add dimensions, annotations,and drawing views to communicate design information clearly
Create basic sheet metal parts and generate accurate flat patterns
Apply Solidworks modeling techniques through practical,real-world engineering examples
Develop the confidence to create their own mechanical designs independently in Solidworks
Requirements
Basic Computer skills
No prior Solidworks experience is required
Basic knowledge of engineering drawing and mechanical design is helpful, but not mandatory
A computer with Solidworks installed is recommended so you can follow along with the exercises
Description
Are you ready to start your journey with SolidWorks?
This beginner-friendly course is designed to introduce you to the fundamentals of SolidWorks and help you build a strong foundation in 3D CAD modeling.
Throughout the course, you will learn how to navigate the SolidWorks interface, create and modify sketches, use essential modeling tools, and build 3D models step by step through practical demonstrations.
What you will learn
- Navigate the SolidWorks interface and workspace
- Understand the basic tools and commands
- Create and edit 2D sketches
- Apply essential sketching techniques
- Create 3D models using fundamental features
- Modify and edit your models efficiently
- Navigate and control different model views
- Understand the basic workflow of creating a 3D part from a sketch
The course is suitable for complete beginners, engineering students, and anyone who wants to develop practical SolidWorks skills from the ground up
No previous SolidWorks experience is required. A basic understanding of engineering drawings is helpful. But not mandatory
By the end of this course, you will have a solid understanding of the fundamental SolidWorks workflow and the confidence to continue developing your 3D modeling skills
Start learning SolidWorks today and take your first step toward becoming a more confident 3D CAD designer
Good Luck
Who this course is for
Beginners who want to learn Solidworks from the ground up
Engineering students who want to develop practical 3D CAD skills
Mechanical and electromechanical engineers who want to improve their Solidworks skills
Designers and technicians who work with the mechanical or electrical panel components and want to create accurate 3D models
Anyone interested in developing practical Solidworks skills for engineering and design applications
Homepage
https://www.udemy.com/course/learn-solidworks-g/https://www.uploadcloud.pro/m0ixgaw8w88i/Learn_Solidworks.rar.html
https://rapidgator.net/file/5dcddac89fde23275144a657a334bb2b/Learn_Solidworks.rar.html
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Category: Tutorials
- views: 127
- date: 15 October 2026
- posted by: 0nelove
LLM & Transformer Mathematics: AI Explained Step by Step
Published 10/2026
Created by Adrian Găitan, Evaluris Solutions, Reju Kole
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 36 Lectures ( 4h 54m ) | Size: 2.2 GB
Master tokenization, embeddings, positional encoding, self-attention, QKV matrices, softmax and multi-head attention
What you'll learn
⚡ Explain how LLMs transform text into tokens, numerical IDs and continuous vector embeddings.
⚡ Calculate positional encodings using sine and cosine functions and explain how Transformers represent word order.
⚡ Break down self-attention mathematically using Query, Key and Value matrices, dot products and attention scores.
⚡ Calculate attention weights with softmax and follow the complete process from input embeddings to contextual representations.
⚡ Explain multi-head attention and how multiple attention heads capture different relationships between tokens.
⚡ Connect tokenization, embeddings, positional encoding and attention to understand how Transformer-based language models process text.
Requirements
❗ No prior experience with LLM mathematics or Transformer architecture is required.
❗ Basic high-school mathematics is helpful, but the mathematical concepts are explained step by step.
❗ An interest in AI, machine learning or Large Language Models is the only essential prerequisite.
❗ Basic Python knowledge is helpful for following the optional experiment notebook, but it is not required for the core course.
Description
Large Language Models have transformed artificial intelligence, but using an LLM and understanding how one actually works are two very different things.
This course takes you beneath the surface of modern AI and explains the core mathematics behind Transformers and Large Language Models step by step.
Rather than treating concepts such as embeddings, positional encoding, Query-Key-Value matrices and attention as black boxes, we break them down visually and mathematically so you can understand what is actually happening inside a Transformer.
You will begin with the foundations of representing language numerically. We explore categorical encoding, tokenization, vocabularies and token encoding before moving into embeddings and continuous vector spaces.
From there, we tackle one of the most important concepts in Transformer architecture: positional encoding.
You will see why Transformers need positional information, how sine and cosine functions are used to represent token positions, why even and odd dimensions are treated differently, and how the underlying equations work.
The course then moves into the heart of the Transformer: the attention mechanism.
Instead of simply showing you an attention formula, we work through the process step by step.
You will explore Query, Key and Value matrices, calculate vectors, examine dot products and vector alignment, calculate raw attention scores and visualize what those scores represent.
We then convert those raw scores into attention weights using softmax and normalization before combining them with Value vectors to produce contextual representations.
Finally, you will explore multi-head attention and see how multiple attention heads allow a Transformer to capture different relationships within the same sequence.
What you will explore
Throughout the course, you will work with concepts including
• Tokenization and vocabularies
• Numerical token representations
• Embeddings and vector spaces
• BERT and DistilBERT concepts
• Positional encoding
• Sine and cosine functions
• Query, Key and Value matrices
• Dot products and vector alignment
• Raw attention scores
• Softmax and normalization
• Attention weights
• Context vectors
• Self-attention
• Multi-head attention
• Masked language modeling
A mathematical approach without unnecessary complexity
The goal of this course is not to overwhelm you with abstract equations.
Instead, mathematical concepts are introduced when they are needed and connected directly to the Transformer components they explain.
You will follow calculations step by step and develop intuition for why the mathematics works, not simply memorize formulas.
This makes the course suitable for learners who already work with AI as well as those building a stronger technical foundation in Large Language Models.
Why take this course?
Many AI courses focus on using existing LLMs, calling APIs or building applications around models.
Those are valuable skills, but they don't necessarily explain what happens inside the model.
This course focuses on that missing layer.
By the end, terms such as embeddings, positional encoding, Query-Key-Value, attention scores, softmax, context vectors and multi-head attention should no longer feel like abstract Transformer terminology.
You will be able to connect these concepts mathematically and understand how they work together to transform tokens into context-aware representations.
If you want to move beyond simply using Large Language Models and develop a deeper understanding of the mechanisms that make Transformers work, this course is designed for you.
Who this course is for
⭐ Developers and software engineers who want a deeper understanding of Transformers, embeddings and attention mechanisms.
⭐ Data science and machine learning students who want to strengthen their mathematical intuition behind modern language models.
⭐ AI and Generative AI learners who want to understand what actually happens inside LLMs.
⭐ AI professionals who work with LLMs and want to confidently explain concepts such as QKV, self-attention, softmax and positional encoding.
⭐ Technical professionals and curious learners who want to move beyond high-level LLM explanations.
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Category: Tutorials
- views: 141
- date: 15 October 2026
- posted by: 0nelove
Marketing Automation: Build Automation for Email Marketing
Published 10/2026
Created by LearnersCare LLC
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 37 Lectures ( 14h 45m ) | Size: 168.4 MB
Master Email Marketing Automation: Build Effective Automation with Professional Autoresponders to Grow Your Email List
What you'll learn
⚡ Set up and configure a professional autoresponder from scratch for effective email marketing automation and list building.
⚡ Create high-converting landing pages to grow your email list using dedicated tools and WordPress.
⚡ Integrate your autoresponder with key sales platforms like shopping carts, course sites, and affiliate networks.
⚡ Build effective email automations and drip campaign sequences to nurture leads automatically.
⚡ Master segmentation using tags from sales systems and membership platforms for targeted emails.
⚡ Design the complete opt-in experience and confirmation emails to maximize subscriber engagement.
⚡ Connect your email marketing automation to Warrior Plus and JVZoo for affiliate marketing.
⚡ Implement list cleaning strategies to maintain a healthy, engaged email list for better deliverability.
⚡ Safely export, back up, and import your valuable email list between different marketing platforms.
⚡ Understand the full technical workflow to build a complete, automated email marketing system.
Requirements
❗ No Advanced Skills Required: You do not need to be a technical expert or have prior experience with email marketing automation to succeed. We start from the beginning.
❗ Willingness to Set Up Tools: A readiness to sign up for and explore an autoresponder service (like GetResponse, Mailchimp, or AWeber) is the main requirement.
❗ Basic Computer Literacy: You should be comfortable using a web browser, creating online accounts, and following step-by-step software tutorials.
❗ A Business Platform (Helpful): Having an existing website, course platform, or store is helpful for integrations but not mandatory to follow along and learn.
❗ Goal to Grow an Audience: The core prerequisite is the desire to build, grow, and professionally manage an email list for your business or brand.
Description
This course contains the use of artificial intelligence.
Master Email Marketing Automation and build effective automation with professional autoresponders to grow your email list. Learn integrations, segmentation, and drip campaigns for leads and sales.
JoinTeam LearnersCare LLC and access the comprehensive2026 AI GiftPack. LeverageGenAI andArtificial Intelligence (AI) with a massive library of downloadable resources designed forMarketing,Sales, andStartup Success.
Welcome to the definitive course where you willMaster Email Marketing Automation. Presented by Team LearnersCare LLC, this training is your blueprint tobuild effective automation systems usingprofessional autoresponders that reliablygrow your email list and drive revenue. In today's digital landscape, an email list is not just an asset; it's the lifeblood of a sustainable online business. This course moves beyond theory to deliver the exact technical and strategic know-how needed to construct a powerful, automated marketing engine from the ground up. If you're tired of sporadic results and manual effort, this step-by-step guide is your solution.
The core of modern digital marketing isEmail Marketing Automation. It's the system that works for you 24/7, nurturing leads, delivering value, and guiding subscribers toward a purchase. This course demystifies the technology and strategy behind building a system that converts visitors into subscribers and subscribers into loyal customers. You will learn to leverageprofessional autoresponders—the essential software that powers automated communication—and integrate them seamlessly into your entire business ecosystem. We start with the foundational step: correctlysetting up your autoresponder. You'll learn not just how to create an account, but how to architect it for scalability and precision, ensuring your foundation is solid before adding complex automation.
From there, we dive into the critical skill oflist building through optimized, high-converting landing pages. You'll discover how to use dedicated landing page creators and evenWordPress to design pages that capture emails effectively. We go beyond just creating the page, teaching you how toadd and embed the crucial opt-in form that connects your website directly to your autoresponder. But capturing leads is only half the battle. The real power—and where most beginners get stuck—lies in seamless integration.
A significant portion of this course is dedicated to teaching you how tobuild effective automation by connecting yourautoresponder to the key platforms that drive your business. You will get step-by-step tutorials on integrating withcourse platforms,shopping carts, and major affiliate networks likeWarrior Plus andJVZoo. This ensures that every customer action—a purchase, a course enrollment, an affiliate sale—automatically triggers the right follow-up in your email sequence. This creates a seamless user experience, eliminates manual data entry, and saves you countless hours, allowing you to focus on strategy and growth.
The strategy deepens as we explore the art and science of the subscriber journey. You'll learn to design theopt-in experience and craft the crucialconfirmation email that maximizes initial engagement. Then, you'll master the concepts oftags and segments, which are the building blocks of targeted, personalized communication. Learn how to useemail automations to send the right message to the right person at the right time, based on their behavior. We cover practical applications, such asadding tags from your sales system andmembership platform, to dynamically segment your audience for hyper-personalized campaigns that convert.
We also address the vital but often overlooked aspects of list hygiene and management that protect your investment. You'll learn the importance and process ofcleaning your list to maintain high deliverability and engagement rates, ensuring your emails reach the inbox. We'll also cover the procedures to safelyexport and back up your list, securing your most valuable digital asset. The course concludes with guidance on migrating your list—should you ever need to switch providers—giving you full control and flexibility.
This course is designed for actionable, confidence-building learning. Every module provides clear, step-by-step instructions for implementing professional-gradeemail marketing automation. By the end, you will have the practical skills to design, build, and manage an automated email marketing system that generates leads, nurtures relationships, and increases sales on autopilot. You'll move from confusion to clarity, knowing exactly how each piece of the puzzle fits together.
Exclusive Access: The LearnersCare 2026 AI GiftPack & Resource Library
To ensure you can immediately implement theseGenerative AI (GenAI) strategies in the real world, we have unlocked a massive vault of downloadablePDF Resources at the very end of this course. This is not just a lesson; it is a completeProfessional Toolkit designed to accelerate yourBusiness Growth andProductivity.
Inside this extensive library, you will gain access to theLearnersCare 2026 AI GiftPack, a curated collection of over2,650+ Professional Prompts that serve as your personal team of experts. These resources allow you to harness the full power ofArtificial Intelligence (AI) across every major business function
✨Digital Marketing & SEO: Instantly generate content, ad copy, and social media strategies.
✨Sales & Negotiation: UseGenAI to handle objections and close high-ticket deals.
✨Startup & Leadership: Access executive-level prompts for scaling, strategy, and HR management.
✨Industry-Specific Workflows: Specialized prompt packs forReal Estate,Customer Support, andEducation.
TheseDownloadable Assets are provided for yourPersonal Use, ensuring that when you finish the videos, you have the practical tools needed to execute everything you have learned.
Team LearnersCare LLC is committed to your success as a modern marketer and entrepreneur. The ability tomaster email marketing automation is no longer a luxury; it's a fundamental necessity for anyone serious about building a profitable, scalable online presence. Whether you are an entrepreneur, marketer, coach, blogger, or content creator, this course provides the complete technical framework and strategic insights to turn your email list into your most valuable and predictable business channel. Stop leaving money on the table with a disconnected marketing approach.
Enroll today and start building your automated, profit-generating marketing empire.
Who this course is for
⭐ Online Entrepreneurs who need to build a systematic email marketing automation funnel to generate leads and sales.
⭐ Digital Marketers aiming to deepen their technical skills with professional autoresponders and advanced integrations.
⭐ Bloggers & Content Creators who want to convert their audience into a subscribed email list with automated nurture sequences.
⭐ Course Creators & Coaches looking to automate student onboarding, communication, and promotional emails via their course platform.
⭐ Affiliate Marketers using platforms like Warrior Plus and JVZoo who need to automatically tag and follow up with buyers.
⭐ E-commerce Store Owners who want to connect their shopping cart to an email automation system for abandoned cart emails.
⭐ Small Business Owners seeking a cost-effective way to manage customer relationships and marketing through email.
⭐ Marketing Beginners overwhelmed by automation tools and wanting a clear, step-by-step guide to build effective systems.
⭐ Freelancers & Agencies who want to offer email marketing automation setup and management as a service to clients.
⭐ Anyone with a Website or Product who understands that growing an email list is critical and wants to learn the technical how-to.
https://www.uploadcloud.pro/p1fd30v632rt/Marketing_Automation_Build_Automation_for_Email_Marketing.rar.html
https://rapidgator.net/file/9a5b96d8444fc62f23bba31739568067/Marketing_Automation_Build_Automation_for_Email_Marketing.rar.html
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Category: Tutorials
- views: 185
- date: 15 October 2026
- posted by: 0nelove
Mastering Merge Conflicts in Git
Released 10/2026
By Julian Mateu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 30m 46s | Size: 457.4 MB
Complex merges are where most Git knowledge breaks down: concurrent refactors collide, directory restructures conflict with hotfixes, and a failed rebase can leave a team paralyzed.
Complex merges are where most Git knowledge breaks down: concurrent refactors collide, directory restructures conflict with hotfixes, and a failed rebase can leave a team paralyzed.
In this course, Mastering Merge Conflicts in Git, you'll gain the ability to diagnose, resolve, and recover from the most challenging merge scenarios with confidence.
First, you'll explore Git's three-way merge internals, index stages, and visual merge tooling to surgically resolve multi-file conflicts.
Next, you'll discover how Git rerere records and replays conflict resolutions to eliminate repetitive merge pain on long-lived branches.
Then, you'll learn how to apply targeted merge strategies to handle large-scale migrations without losing critical hotfixes.
Finally, you'll master the reflog and reset workflows to recover from failed merges, botched rebases, and accidental resets with zero data loss.
When you're finished with this course, you'll have the skills and knowledge of Git's conflict resolution and recovery internals needed to be the person your team calls when everything goes wrong.
Homepage
https://www.uploadcloud.pro/dl5y4uwoyn3w/Mastering_Merge_Conflicts_in_Git.rar.html
https://www.uploadcloud.pro/kq9wpfr34ul6/Mastering_Merge_Conflicts_in_Git.rar.html
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Category: Tutorials
- views: 169
- date: 15 October 2026
- posted by: 0nelove
Python for Beginners: Learn Python Programming from Scratch
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 51m | Size: 4.31 GB
A Step-by-Step Guide with Practical Examples, Coding Exercises, and Beginner-Friendly Projects
What you'll learn
Understand the fundamentals of Python programming, including variables, data types, operators, and basic syntax.
Write Python programs using conditional statements, loops, functions, and problem-solving techniques.
Work with Python data structures such as lists, tuples, sets, and dictionaries to store and manipulate data.
Develop small real-world Python projects using the concepts learned throughout the course.
Apply exception handling and debugging techniques to identify and resolve common Python programming errors.
Requirements
No prior programming knowledge is required; the course starts from the basics of Python.
Basic knowledge of computers and familiarity with using a keyboard and mouse is sufficient.
A computer or laptop with Python installed, or access to an online Python coding environment.
Basic understanding of mathematics and logical thinking will be helpful but is not mandatory.
Description
Welcome to Python for Beginners, a practical and beginner-friendly course designed to take you from your first Python program to confidently writing useful Python applications.
Whether you have never written a line of code before, are a student preparing for programming courses, a professional looking to develop a new technical skill, or simply want to learn one of the world's most popular programming languages, this course provides a structured path to learning Python step by step.
You don't need any previous programming experience. We start with the fundamentals and gradually move toward more practical programming concepts, allowing you to build your knowledge and confidence as you progress.
What Will You Learn?
Throughout this course, you will learn the essential concepts required to start programming with Python.
You will begin by understanding what Python is, how it works, how to install and configure the Python environment, and how to write and execute your first Python program.
From there, you will learn important programming fundamentals, including
- Python syntax and programming fundamentals
- Variables and data types
- Numbers, strings, and Boolean values
- Input and output
- Operators and expressions
- Conditional statements
- if, elif, and else
- For and while loops
- Break and continue statements
- Lists, tuples, sets, and dictionaries
- Working with strings
- Functions and parameters
- Return values
- Lambda functions
- Modules and packages
- Exception handling
- Reading and writing files
- Object-oriented programming fundamentals
- Classes and objects
- Constructors and methods
- Inheritance and other OOP concepts
- Working with Python libraries
- Practical problem-solving techniques
The course emphasizes learning by doing. Instead of simply memorizing programming concepts, you will work through examples and exercises that help you understand how Python works in real programming situations.
Learn Through Practical Examples
Programming becomes easier when you practice.
That's why this course focuses on writing code throughout the learning process. You will see how individual concepts work, understand the logic behind them, and then apply those concepts to programming exercises.
You will encounter practical examples involving calculations, text processing, conditions, loops, collections, functions, files, and object-oriented programming.
The goal is not simply to finish the lessons. The goal is to develop the ability to read, understand, write, test, and improve Python code independently.
Build Your Programming Confidence
Many beginners find programming difficult because they try to learn too many concepts at once.
This course follows a gradual learning path.
First, you learn the basics.
Then, you combine those basics to solve increasingly practical problems.
Finally, you apply your knowledge to projects and programming challenges.
By following this approach, you can develop a stronger understanding of programming logic and become more comfortable writing Python code on your own.
Who Is This Course For?
This course is ideal for
- Complete beginners with no programming experience
- Students who want to learn Python from the beginning
- People switching to programming from a non-technical background
- Professionals who want to add Python to their skill set
- Aspiring developers who want a strong Python foundation
- Data science beginners who need Python fundamentals
- Anyone who wants to practice programming through examples and exercises
You do not need prior Python knowledge to take this course.
Basic computer knowledge is helpful, but everything else is introduced progressively throughout the course.
What Can You Do After This Course?
After completing the course, you will have a solid foundation in Python programming and will be able to write programs using fundamental Python concepts.
You will be prepared to continue learning more advanced areas such as
- Data Science with Python
- Machine Learning with Python
- Web Development with Python
- Automation and Scripting
- Data Analysis
- Python Software Development
This course is designed to give you the foundation required to move confidently into these areas.
Why Learn Python?
Python is known for its readable syntax and wide range of applications. It is used in software development, automation, data analysis, scientific computing, web development, and many other technical fields.
Learning Python can therefore provide you with a valuable programming foundation that can be applied across multiple career and learning paths.
But you don't need to learn everything about Python at once.
Start with the fundamentals, practice consistently, and gradually build your skills.
Start Your Python Journey Today
If you've always wanted to learn programming but didn't know where to start, this course gives you a structured and approachable starting point.
You will learn step by step, practice with examples, solve programming problems, and develop the confidence to write Python programs independently.
No complicated assumptions. No requirement for previous programming experience.
Just a practical learning path from Python beginner to confident programmer.
Enroll today and start writing your first Python program!
Who this course is for
Students who are new to programming and want to learn Python from scratch.
Beginners who want to build a strong foundation in Python programming.
College and university students who want to learn Python for academic and career purposes.
Working professionals who want to develop basic Python programming skills.
Anyone interested in learning Python for automation, data analysis, artificial intelligence, or other technology fields.
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Category: Tutorials
- views: 150
- date: 15 October 2026
- posted by: 0nelove
Quantum Computing & Quantum Machine Learning with Python
Published 10/2026
Created by Sahinur Islam
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 126 Lectures ( 24h 44m ) | Size: 9.2 GB
Master qubits, gates, Qiskit, Grover and Shor, then build quantum machine learning models with PennyLane and Python
What you'll learn
⚡ Explain qubits, superposition, entanglement, interference and measurement clearly and correctly
⚡ Use the linear algebra of quantum computing: complex numbers, Dirac notation, unitary matrices and tensor products
⚡ Build, simulate, transpile and run quantum circuits in Python with Qiskit 1.x, Qiskit Aer and Qiskit Runtime
⚡ Implement teleportation, superdense coding, Deutsch-Jozsa, Grover's search, the quantum Fourier transform, phase estimation and Shor's algorithm
⚡ Run experiments on real quantum hardware, model noise, and apply error-mitigation techniques
⚡ Explain the principles of quantum error correction, from repetition codes to surface codes
⚡ Encode classical data into quantum states and build variational quantum classifiers and quantum kernel models with PennyLane and Qiskit Machine Learning
⚡ Train hybrid quantum-classical models with PyTorch, and solve optimisation problems with VQE and QAOA
⚡ Benchmark quantum models honestly against classical baselines and judge claims of quantum advantage
⚡ Complete four portfolio-ready capstone projects and plan a career path in quantum technology
Requirements
❗ Basic Python programming (variables, functions, loops, lists); every library is introduced from scratch
❗ High-school algebra; all linear algebra and complex numbers are taught in Module 2
❗ A computer (Windows, macOS or Linux) with internet access; all software used is free and open source
❗ No prior physics, quantum mechanics or machine learning knowledge is required
Description
This course contains the use of artificial intelligence.
Quantum computing is moving out of the physics lab and onto the developer's laptop. Today you can write a quantum program in Python, run it on a simulator in seconds, and send it to real quantum hardware through the cloud. This course gives you a clear, rigorous and beginner-friendly path from your very first qubit to training hybrid quantum machine learning models.
What makes this course different
✨From zero to advanced in one path. We start with the big picture and the essential mathematics (complex numbers, vectors, matrices, tensor products), then build up to quantum gates, circuits, entanglement, the major algorithms, real hardware and quantum machine learning.
✨Code-first and current. Every concept is backed by Python code using Qiskit 1.x (circuits, primitives, Aer simulation, transpilation, Qiskit Runtime) and PennyLane with PyTorch for quantum machine learning.
✨Honest about what quantum can and cannot do. You will learn to tell real quantum advantage from hype: which speed-ups are exponential, which are quadratic, which are heuristic, and how to benchmark quantum models fairly against strong classical baselines.
✨Real hardware and real noise. You will run circuits on real quantum processors, measure noise, apply error-mitigation techniques, and understand how quantum error correction works.
✨Portfolio-ready capstones. Four capstone projects (an algorithm toolkit, a noise-aware hardware experiment, a hybrid quantum classifier and a QAOA portfolio optimiser) give you work you can show employers.
What's inside
✨ 12 modules, 24 hours of narrated, slide-based video lectures, each 5 to 15 minutes long
✨ 15+ hands-on coding labs and 4 capstone projects
✨ A quiz with detailed answer explanations at the end of every module
✨ Setup guides and code you can run on a free simulator or on free tiers of real quantum hardware
Course structure
✨ Introduction to Quantum Computing
✨ Essential Mathematics and Linear Algebra
✨ Qubits, Superposition, and Measurement
✨ Quantum Gates and Circuits
✨ Python, Qiskit, and Quantum Simulators
✨ Entanglement and Quantum Protocols
✨ Quantum Algorithms: Grover, QFT, and Shor
✨ Real Quantum Hardware, Noise, and Error Correction
✨ Machine Learning Foundations and Data Encoding
✨ Quantum Machine Learning with PennyLane and Qiskit
✨ Hybrid Quantum-Classical AI and Optimization
✨ Capstone Projects and Career Roadmap
No physics degree is required. If you can write basic Python and remember high-school algebra, this course will teach you everything else, step by step.
Who this course is for
⭐ Software developers and Python programmers who want to add quantum computing to their skill set
⭐ Data scientists and machine learning engineers curious about quantum machine learning and hybrid AI
⭐ Students of computer science, physics, mathematics or engineering looking for a practical, code-first introduction
⭐ Researchers and technical professionals who need to evaluate quantum computing for their organisation
⭐ Curious learners who want a rigorous but beginner-friendly path from first principles to advanced topics
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Category: Tutorials
- views: 99
- date: 15 October 2026
- posted by: 0nelove
RE3 Regulatory Exam Masterclass 2026 | FAIS
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 30h 26m | Size: 11.02 GB
Master FAIS legislation, Key Individual duties, Fit and Proper requirements, compliance and regulatory exam preparation
What you'll learn
Understand the FAIS Act, regulatory framework and the responsibilities of Key Individuals in managing and overseeing financial services providers.
Explain licensing, Fit and Proper requirements, operational oversight, compliance obligations and regulatory accountability under FAIS.
Apply FAIS requirements to supervision, representative management, debarment, complaints handling, risk management and regulatory reporting.
Prepare for the RE3 examination by interpreting regulatory requirements, analysing complex scenarios and identifying legally correct answers.
Requirements
No prior regulatory examination experience is required. This course explains FAIS legislation and Key Individual responsibilities from foundational concepts. Basic English comprehension and an interest in financial services regulation are recommended.
Description
This course contains the use of artificial intelligence.
RE3 Regulatory Examination Masterclass 2026 | FAIS
Prepare confidently for the South African RE3 Regulatory Examination with comprehensive training on the Financial Advisory and Intermediary Services Act (FAIS Act), Key Individual responsibilities and regulatory compliance.
This masterclass is designed for aspiring and existing Key Individuals, Financial Services Provider (FSP) managers, compliance professionals and individuals preparing for the RE3 examination.
What You Will Learn
- Understand the FAIS Act and the role of the Financial Sector Conduct Authority (FSCA).
- Explain Key Individual management and oversight responsibilities.
- Understand FSP licensing, authorisation and Fit and Proper requirements.
- Apply compliance management, risk management and regulatory reporting principles.
- Understand representative supervision, debarment and regulatory accountability.
- Explore the General Code of Conduct, disclosure requirements and client protection.
- Understand regulatory enforcement and consequences of non-compliance.
One Full RE3 Mock Examination – 50 Questions
The course includes one complete 50-question practice examination to assess your knowledge, strengthen regulatory interpretation skills and identify areas requiring further preparation.
Why Enrol?
Benefit from beginner-friendly explanations, practical examples, structured regulatory training and examination-focused learning.
Important Disclaimer
Artificial intelligence has been used to assist with course development, narration.
This course is independently developed and is not affiliated with, endorsed or approved by the FSCA. Mock questions are not official examination questions. Learners should consult current official regulatory materials. Examination success is not guaranteed.
Who this course is for
This course is designed for aspiring and existing Key Individuals preparing for the South African RE3 Regulatory Examination, financial services managers, FSP owners, compliance professionals, supervisors and individuals responsible for managing or overseeing FAIS-regulated financial services activities. It is also suitable for beginners seeking a structured understanding of the legal and operational responsibilities of Key Individuals.
Homepage
https://www.udemy.com/course/re3-regulatory-exam-masterclass-2026-fais/
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Category: Tutorials
- views: 145
- date: 15 October 2026
- posted by: 0nelove
Stock Market Investing: From Beginner to Investor
Published 10/2026
Created by François M. Bell, PhD
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 4h 13m ) | Size: 1.6 GB
Learn to invest in stocks and ETFs, analyze investments, build a diversified portfolio, and manage risk with confidence.
What you'll learn
⚡ Understand how the stock market works, including stocks, ETFs, market indexes, and the main principles of long-term investing.
⚡ Open an investment account and confidently navigate brokerage platforms to buy and sell stocks and ETFs.
⚡ Analyze stocks using financial indicators and free tools such as Google Finance and Yahoo Finance.
⚡ Build, diversify, and monitor an investment portfolio based on financial goals, risk tolerance, and investment horizon.
⚡ Compare passive investing, value investing, growth investing, and dividend strategies to develop a personal investment approach.
⚡ Understand investor psychology, avoid common investing mistakes, and explore tax-advantaged investment accounts.
Requirements
❗ No prior investing experience is required. This course starts with the fundamentals and progresses step by step.
❗ A computer or smartphone with internet access is recommended for exploring free financial tools and completing practical exercises.
Description
Learn Stock Market Investing from Scratch — Build the Knowledge to Become an Independent Investor!
Do you want to start investing in the stock market but don't know where to begin? Are you confused by stocks, ETFs, investment accounts, and financial markets?
This comprehensive course is designed to help you understand investing step by step, even if you have no previous experience.
With more than4 hours of video lessons, practical demonstrations, real-world examples, and downloadable resources, you will develop the knowledge and skills needed to make more informed investment decisions.
What You Will Learn
✨ Understand how stock markets work and why investing matters.
✨ Learn the fundamentals of risk, return, and compound growth.
✨ Discover how to choose an online broker and open your first investment account.
✨ Understand stocks and learn how to analyze companies using financial indicators.
✨ Explore Exchange-Traded Funds (ETFs) and their role in diversification.
✨ Build and manage a diversified investment portfolio.
✨ Learn how to assess investments using free tools such as Google Finance.
✨ Understand investor psychology and avoid common emotional mistakes.
✨ Compare passive, active, value, growth, and dividend investing strategies.
✨ Apply your knowledge through practical investment case studies.
✨ Explore tax-advantaged investment accounts in Canada, the United States, and other countries.
Practical Learning and Downloadable Resources
This course goes beyond theory. You will learn through practical examples and demonstrations designed to help you apply what you have learned.
You will also receive
✨ A comprehensive reference manual.
✨ An exercise workbook.
✨ An Excel financial calculator.
✨ Knowledge-check quizzes.
✨ Practical investment case studies.
✨ A disciplined investor charter.
Who Is This Course For?
This course is ideal for beginners, savers who want to start investing, and individuals looking to strengthen their investment knowledge.
No previous investing experience is required.
About Your Instructor
François M. Bell, PhD, is an economist passionate about financial education. His goal is to make investing accessible, practical, and understandable for everyone.
Start Your Investing Journey Today!
Investing is a lifelong skill. With the right knowledge, patience, and discipline, you can develop a structured approach to managing your investments and working toward your financial goals.
Enroll today and take your first step toward becoming a knowledgeable and independent investor!
Disclaimer: This course is for educational purposes only and does not constitute personalized financial, investment, or tax advice. Investing involves risk, including possible loss of capital.
Who this course is for
⭐ Complete beginners who want to understand the
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Category: Tutorials
- views: 228
- date: 15 October 2026
- posted by: 0nelove
Creativity for Non-Creative People
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 5m | Size: 1.61 GB
Build a daily creative practice that produces real ideas — no talent or background required
What you'll learn
The Notice-Capture-Create framework: a three-step daily system for consistent creative output
How to build a morning idea capture habit that generates ideas before your day starts
How to design a daily input diet that expands creative range beyond your professional field
A three-step diagnostic system for beating creative block every single time
How to shift from accumulating creative ideas to actually executing them
Requirements
No prior creative experience or background of any kind
Willingness to try small daily habits and do two short homework assignments
An open mind about what creativity actually is — and who it's actually for
Description
Most people who say they're not creative are wrong. Not slightly wrong, significantly wrong. The problem isn't that you lack creativity. It's that you've never been given a practical daily system for producing it.
This course dismantles the belief that creativity is a talent you either have or don't, and replaces it with a three-step daily framework anyone can build: Notice. Capture. Create.
Across ten focused sessions, you'll learn why the single most powerful creative habit costs nothing, put your phone away, walk outside with a notepad and pen, and give your brain actual room to think. You'll learn how to design an input diet that expands your creative range, how to stop losing your best ideas before you can use them, and how to beat the blank page every time it shows up. You'll also confront the honest counterpoint most creativity courses skip: how to stop endlessly generating ideas and start actually making something.
This isn't motivational content. It's a working system, built for professionals who need creative thinking as part of how they operate — not as a side project.
By the end, you won't just have more ideas. You'll have the daily practice that keeps producing them.
WHAT YOU'LL LEARN
- The Notice-Capture-Create framework: a three-step daily system for consistent creative output
- How to build a morning idea capture habit that generates ideas before your day starts
- How to design a daily input diet that expands creative range beyond your professional field
- A three-step diagnostic system for beating creative block every single time
- How to shift from accumulating creative ideas to actually executing them
WHO THIS COURSE IS FOR
- Professionals in non-creative roles — engineers, lawyers, accountants, managers — who want to think more creatively
- Anyone who has said "I'm just not a creative person" and believed it
- Entrepreneurs and business owners who need a steady supply of ideas but have no reliable system for generating them
- People in creative fields who have lost momentum and need a practical reset
- Anyone who wants a daily methodology rather than motivational advice about creativity
Who this course is for
Professionals in non-creative roles — engineers, lawyers, accountants, managers — who want to think more creatively
Anyone who has said "I'm just not a creative person" and believed it
Entrepreneurs and business owners who need a steady supply of ideas but have no reliable system for generating them
People in creative fields who have lost momentum and need a practical reset
Anyone who wants a daily methodology rather than motivational advice about creativity
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Category: Tutorials
- views: 441
- date: 15 October 2026
- posted by: 0nelove
Critical Thinking: Applying Strategies at Work
Released 10/2026
By Alice Meredith
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 52m 26s | Size: 1016.8 MB
Knowing how to think critically is only half the challenge.
Knowing how to think critically is only half the challenge. At work, decisions must be made under tight constraints, competing priorities, risk, and real human impact. Even strong analysis can fall apart if it can't be executed.
In this course, Critical Thinking: Applying Strategies at Work, you'll gain the ability to make defensible decisions under real-world pressure and sharpen your judgment with every outcome.
In this course, you'll learn how to apply critical thinking to make decisions that actually hold up in real-world conditions.
First, you'll explore how to work within the constraints every decision has to navigate, including tradeoffs, risk, and ethical or human impact. Next, you'll discover how to frame, ground, and commit to a decision using a repeatable approach. Finally, you'll learn how to reflect on results with after-action reviews and double-loop learning. When you're finished with this course, you'll have the skills and knowledge of applied critical thinking needed to turn analysis into confident action and keep improving your decisions over time.
Homepage
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Category: Tutorials
- views: 441
- date: 15 October 2026
- posted by: 0nelove
Computer Vision with PyTorch: Practical Deep Learning
Published 10/2026
Created by Ackley Will
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 44 Lectures ( 8h 26m ) | Size: 8.4 GB
Build and improve image classifiers with hands-on projects, CNNs, transfer learning, and fine-tuning.
What you'll learn
⚡ Build your first image classifier with PyTorch through a guided, step-by-step project.
⚡ Understand how neural networks learn from examples and recognize patterns in images.
⚡ Prepare your own image datasets for training and testing computer vision models.
⚡ Build and train convolutional neural networks (CNNs) with clear explanations and practical Python code.
⚡ Evaluate your model's predictions and identify where it performs well and where it makes mistakes.
⚡ Improve your models with transfer learning and selective fine-tuning using a pretrained ResNet.
⚡ Apply data augmentation and regularization to reduce overfitting and help your models perform better on new images.
⚡ Complete an image classification project and adapt the workflow to your own ideas and datasets.
Requirements
❗ Basic Python programming knowledge, including variables, loops, and functions.
❗ A computer with internet access and permission to install Python, PyTorch, and Jupyter Notebook.
❗ No previous experience with PyTorch or computer vision is required.
❗ A willingness to learn by doing, experiment with the code, and work through the projects.
Description
Build your first computer vision model. Then learn how to make it better.
Turn your Python skills into working image classification projects with PyTorch. Learn how to train a neural network, understand its predictions, and make informed decisions about what to improve next.
Whether you are building your first model or have already followed a few tutorials, this course gives you a connected path through the complete workflow: prepare your images, build a model, train it, evaluate its performance, and experiment with improvements.
See your first classifier in action early in the course
You will begin with a guided Rock-Paper-Scissors project, using a provided notebook to see how the pieces fit together. You can follow the complete process before learning every implementation detail.
From there, we will explore how neural networks learn and connect those ideas to practical PyTorch code. You will develop an intuitive understanding of predictions, loss, backpropagation, and parameter updates, then see how convolutional neural networks work with images.
Build one project and improve it step by step
The main project uses the Intel Image Classification dataset to recognize six types of scenes, including buildings, forests, and mountains.
You will start with a simple CNN and follow its development across several modules. As you add new techniques, you will compare results and investigate what changed.
Along the way, you will learn to
✨ Prepare image datasets, transformations, and data loaders.
✨ Build and train a convolutional neural network in PyTorch.
✨ Use training, validation, and test sets for their different purposes.
✨ Interpret learning curves, classification metrics, and confusion matrices.
✨ Apply transfer learning with a pretrained ResNet-18.
✨ Fine-tune selected layers to adapt the model to your task.
✨ Use data augmentation, dropout, and weight decay to address overfitting.
✨ Compare models, save checkpoints, and make predictions on your own images.
Understand what your results are telling you
A model can perform well during training and still struggle with new images. It can also achieve a promising overall score while repeatedly confusing particular categories.
You will learn how to recognize these patterns and use them to guide your next experiment. The emphasis is on understanding your results, comparing approaches, and explaining the decisions you make.
Bring everything together in a final capstone
Return to Rock-Paper-Scissors with a stronger set of skills. Establish a baseline, apply transfer learning and selective fine-tuning, compare the final models, and examine their mistakes.
The capstone gives you room to make your own implementation decisions, with hints and a completed solution available when you need support. The solution includes reference results so you can compare your approach and interpretation.
Learn with clear explanations and practical resources
The course includes guided video lessons, downloadable Jupyter notebooks, practice tasks, and completed solutions. Setup guidance helps you prepare your environment, and a Jupyter Notebook introduction is included if you are new to it.
I am Ackley Will, a university computing professor with more than 12 years of teaching experience and research experience in computer vision and deep learning. My goal is to help you understand the ideas, connect them to code, and build the confidence to experiment.
You need basic Python knowledge, including variables, loops, and functions. No previous experience with PyTorch or computer vision is required.
Join me and build a practical workflow you can adapt to your own image classification projects.
Who this course is for
⭐ Python learners who want to build their first computer vision projects with PyTorch.
⭐ Students and developers looking for a practical introduction to deep learning for image classification.
⭐ Learners who have built basic models and want to improve their results with transfer learning, fine-tuning, and data augmentation.
⭐ Researchers and professionals who want to apply an image classification workflow to their own datasets.
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Category: Tutorials
- views: 333
- date: 15 October 2026
- posted by: 0nelove
Claude Certified Architect (CCA-F, CCAR-F) Masterclass 2026
Published 10/2026
Created by Sachin, GIMIT
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 53 Lectures ( 8h 8m ) | Size: 9.3 GB
Master Anthropic Claude API, Prompt Engineering, Claude Code CLI, Function Calling, and Structured JSON Extraction.
What you'll learn
⚡ Configure and secure Anthropic API keys while mastering token budgets, pricing structures, and rate-limit mitigation strategies.
⚡ Design production-grade system prompts using advanced XML tagging and few-shot contextual patterns for consistent outputs.
⚡ Master the Claude Code CLI environment, initializing custom project architectural rulebooks via CLAUDE. md files.
⚡ Implement robust tool use and function calling across Python and TypeScript to connect Claude with external systems.
⚡ Enforce strict JSON schemas and automated validation retry loops for reliable, structured data extraction pipelines.
⚡ Control model creativity and response boundaries using hyperparameters, temperature, top_p settings, and stop sequences.
⚡ Build advanced document parsing, classification, and summarization workflows leveraging long-form context windows.
⚡ Defend applications against prompt injection attacks and secure multi-turn tool execution pipelines against latency.
Requirements
❗ Basic familiarity with programming concepts (Python or TypeScript fundamentals are helpful but not strictly required).
❗ A computer with internet access to set up the Anthropic Developer Console and local command-line tools.
❗ No prior experience with Claude or LLM APIs is necessary—we will guide you step-by-step from absolute beginner to architect level!
Description
This course contains the use of artificial intelligence.
Master the Anthropic Ecosystem with the Definitive Claude Certified Architect Foundations Course
Are you ready to unlock the full potential of Anthropic's frontier AI models? Welcome toClaude Certified Architect – Foundations (CCA-F, CCAR-F), the ultimate, hands-on masterclass designed to take you from a curious developer to a certified-level practitioner of Claude, Claude Code, and the Anthropic API.
As Large Language Models (LLMs) reshape software development, Claude has emerged as the premier choice for professional engineering teams due to its advanced reasoning, massive context windows, and sophisticated safety mechanisms. This comprehensive course covers everything you need to build robust, production-grade applications using Python, TypeScript, and modern CLI tools.
What You Will Master
✨The Anthropic API & Ecosystem: Learn how to configure developer consoles, handle token budgeting, manage secure API keys, and implement real-time streaming responses.
✨Advanced Prompt Engineering: Discover the secrets of XML tagging, few-shot prompting patterns, system prompt architecture, and eliminating conversational drift.
✨Claude Code CLI Integration: Set up local developer environments, write structural CLAUDE. md rulebooks, and perform safe, AI-assisted code generation.
✨Tool Use & Function Calling: Bridge Claude to external systems by defining strict schemas, handling multi-turn interactions, and debugging parameter errors.
✨Structured Outputs & Data Pipelines: Force guaranteed JSON outputs, prevent malformed responses, build document parsing systems, and defend against prompt injections.
Whether you are a software engineer, technical product manager, or AI enthusiast, this course provides the exact architectural blueprints required to build resilient, enterprise-ready AI solutions. Enroll today and future-proof your career with Claude!
Who this course is for
⭐ Software Engineers & Developers wanting to integrate Claude into real-world applications using the Anthropic API.
⭐ Full-Stack & Backend Programmers looking to master function calling, tool use, and structured JSON outputs.
⭐ AI Enthusiasts & Technical Product Managers aiming to build a deep, architectural understanding of Anthropic's ecosystem.
⭐ Developers Preparing for Certification who want hands-on, practical foundations aligned with Claude architectural standards.
Homepage
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Category: Tutorials
- views: 258
- date: 15 October 2026
- posted by: 0nelove
Certified AI Creative Technologist
Published 10/2026
Created by JayTech AI Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 5h 52m ) | Size: 2.1 GB
Master Generative AI for content, images, video, audio, prompt engineering, automation, and AI-powered creative products
What you'll learn
⚡ Understand how generative AI works
⚡ Use large language models for creative work
⚡ Write professional prompts for text, images, and multimedia
⚡ Generate marketing and brand content
Requirements
❗ No prior AI, coding, or design experience is required
Description
"This course contains the use of artificial intelligence."
Welcome toCertified AI Creative Technologist, a comprehensive, hands-on course designed to help you master the intersection of artificial intelligence, creativity, technology, and digital innovation.
As artificial intelligence continues to transform industries, organizations are seeking professionals who can combine creative thinking with emerging AI technologies to develop innovative solutions, streamline workflows, and produce engaging digital experiences.
This course equips you with the practical knowledge and creative skills needed to leverage generative AI tools, AI-powered design platforms, content creation technologies, automation systems, and no-code solutions to bring ideas to life.
Whether you are a graphic designer, content creator, digital marketer, entrepreneur, educator, technology enthusiast, or aspiring AI professional, this course will help you explore new possibilities in AI-driven creativity and innovation.
Through practical demonstrations, real-world examples, and hands-on projects, you will learn how to integrate artificial intelligence into modern creative workflows, develop AI-powered digital products, and apply creative problem-solving techniques to business challenges.
What You'll Learn
✨ Understand the role of an AI Creative Technologist and its importance in today's digital economy.
✨ Explore generative AI and its applications across creative industries.
✨ Master AI-powered tools for content creation, graphic design, image generation, and video production.
✨ Develop effective prompt engineering techniques for creative AI applications.
✨ Create compelling digital content using AI-assisted workflows.
✨ Explore AI-powered branding, storytelling, and visual communication.
✨ Build AI-driven websites, applications, and digital experiences using no-code and low-code technologies.
✨ Automate creative workflows to improve productivity and efficiency.
✨ Integrate AI technologies into marketing, business, and digital media projects.
✨ Apply design thinking and creative problem-solving to AI-powered solutions.
✨ Understand responsible AI, copyright considerations, ethical AI use, and intellectual property challenges.
✨ Develop a portfolio of practical AI creative projects.
✨ Identify career, freelancing, entrepreneurship, and consulting opportunities in AI creative technology.
Who this course is for
⭐ This course is ideal for: Content creators Graphic designers Marketing professionals Social media managers Video creators Copywriters Entrepreneurs Creative professionals AI consultants Digital marketers Brand strategists Educators Freelancers Creative technologists Professionals transitioning into AI-enabled creative roles
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Category: Tutorials
- views: 245
- date: 15 October 2026
- posted by: 0nelove
Building Reliable AI Systems, Video Edition
Released 8/2026
By Rusheel Shahani
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 15m | Size: 2 GB
"Practical, comprehensive, and urgently needed."
"Practical, comprehensive, and urgently needed." —Samer Hamad, AmazonBuilding Reliable AI Systems: Applications and agents you can trust shows you how to grow a promising prototype into a production product you can deliver, maintain, and scale. In 11 sharply-focused chapters, it walks you through a unique reliability process that author Rush Shahani refined while building an AI-powered sales intelligence platform used by over 15,000 go-to-market teams. Timely and practical, this book provides concrete steps to eliminate costly hallucinations, streamline computational resources, and confidently deploy secure, trustworthy, and compliant AI solutions. You'll immediately appreciate how Building Reliable AI Systems defines "AI reliability" along six critical dimensions—accuracy and grounding, safe agency, graceful failure, consistency, fairness, and operational efficiency—and provides a specific three-layer framework to achieve these goals. The first layer, with a focus on outputs, shows you how to get consistent and accurate responses using well-engineered prompts, RAG, and model customization. The second layer, about agents, establishes parameters for memory, tool usage, and orchestration in agentic systems. The book concludes with the third layer—Reliable Operations—covering deployment, monitoring, and responsible AI. The book's reliability framework emphasizes the symbiotic relationship between evaluation and reliability, proving that you cannot improve what you do not measure. You'll learn to measure your applications using fine-grained LLM-native evaluation rubrics like the Grounding Defect Rate, Hallucination Severity Score, and FActScore that audit everything from RAG outputs to the entire step-by-step reasoning trajectory of autonomous agents. Building Reliable AI Systems stays rooted in reality from start to finish. As you go, you will build several projects, including a multi-agent travel planner and a medical assistant, and use industry standard tools and specifications like LangGraph and MCP. In the helpful appendices you'll find a handy reference architecture and decision-making checklists. Reviewer Mohamed Zohir Koufi, Lead AI Engineer at Capgemini, praises how the book "brings together architecture, tooling, evaluation, and governance in the way real systems are built." By taking this comprehensive approach to LLMOps, the book delivers a reproducible process to ensure your applications stay cost-effective, fast, and compliant with enterprise standards like HIPAA and GDPR.About the TechnologyAbout the BookWhat's Inside
Ground outputs in real business data
Orchestrate safe, consistent multi-step agent workflows
Implement robust monitoring, semantic caching, and multi-model fallbacks
About the ReaderFor Python-fluent software engineers and data scientists ready to build production-grade, reliable AI applications.About the AuthorRush Shahani is an AI leader who has spent his career shipping machine learning systems that hold up under real-world conditions. He co-founded Persana AI, a Y Combinator-backed sales intelligence platform that has joined forces with Rox. Before Persana, Rush built AI and search systems at LinkedIn and Element AI (acquired by ServiceNow), and backend and payments infrastructure at Shopify.QuotesA resource packed with actionable advice.- Attila Bagossy, SustainabotMust-read. Offers clear explanations, practical techniques, and real-world insights bridging the gap between theory and application.- Nehaa Bansal, SAP LabsAn indispensable guide for the next era of AI engineering.- Oren Etzioni, University of WashingtonA thoroughly researched book that will spark the interest of many readers.- Georg Sommer, HTL SpengergasseThe dual perspective—combining implementation-level details with real-world product considerations—makes the writing particularly engaging and relevant for practitioners building production-grade LLM systems.- Heng Zhang, SalesforceHelps you stay up to date and valid on the hottest topic in the engineering community right now.- Clyde Kallahan, Unlocked Labs
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Category: Tutorials
- views: 293
- date: 15 October 2026
- posted by: 0nelove
Building ASP.NET Core REST APIs with an AI-Powered Workflow
Published 10/2026
Created by Elegant Code – Krystyna Ślusarczyk
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 314 Lectures ( 23h 22m ) | Size: 14.9 GB
Build production-ready APIs with C#, Entity Framework Core & PostgreSQL. Learn AI-assisted development workflow.
What you'll learn
⚡ Build professional REST APIs with ASP.NET Core from scratch.
⚡ Design APIs that follow REST principles and industry best practices.
⚡ Write clean, maintainable, professional-grade API code.
⚡ Build APIs with both Minimal APIs and Controllers, and know when to use which.
⚡ Work with databases using Entity Framework Core and PostgreSQL.
⚡ Secure APIs with ASP.NET Core Identity, JWT, and role-based authorization.
⚡ Write integration and unit tests for your APIs.
⚡ Use GitHub Copilot and Claude Code responsibly to speed up your work.
Requirements
❗ Basic knowledge of C#. I'll teach you everything you need to know about building APIs.
❗ No prior experience with ASP.NET Core, databases, or AI tools is needed.
❗ A computer (Windows/macOS) with access to the Internet.
❗ No paid software is needed. All tools used in this course are free, and paid AI tools are optional.
Description
Welcome to"Building ASP.NET Core REST APIs with an AI-Powered Workflow", a complete, hands-on course where you build a real REST API from scratch, the way it is done in professional projects.
As a .NET Technical Lead with over a decade of experience, I'll guide you every step of the way, from your very first endpoint to a secured, fully tested API.
Why learn to build APIs with ASP.NET Core?
APIs are behind almost every modern application. Web apps, mobile apps, and other systems all rely on them to communicate. That's why almost every company builds APIs, and why API development is one of the mostin-demand skills employers look for in .NET developers. ASP.NET Core is one of the fastest and most widely used frameworks for building them, trusted by companies of all sizes.
Building an API that simply works is not that hard. Building one that issecure, maintainable, and follows industry best practices is a different skill. That skill is what professional teams expect, and it is exactly what this course will teach you.
What makes this course different?
✨Best practices from day one. We write professional-grade code from the start, so you never have to unlearn shortcuts later.
✨We go beyond "it works". You'll understand why each decision is made, not just how to type the code.
✨Both Minimal APIs and Controllers. You'll learn both approaches and know when to choose which.
✨Real-world architecture. DTOs, mapping, validation, a service layer, and the result pattern, the way they are used in production codebases.
✨Security done right. User management with ASP.NET Core Identity, JWT authentication, role-based authorization, and safe handling of secrets.
✨Automated testing. You'll write integration and unit tests and learn how to make them fast, reliable, and easy to maintain.
✨Constant refactoring. We review and improve our code as the project grows, just like in a real team.
AI as a tool, not a replacement for understanding
AI tools are now part of everyday work for many developers. In this course, you'll learn to useGitHub Copilot and Claude Code responsibly. We only use AI for things we already understand, and we review every line it produces. You'll learn how to write good prompts, how to verify AI output, and when not to use AI at all.
The AI part isfully optional. You can complete the entire course without any AI tools, or using free tools only.
Technologies covered
.NET 10, C#, ASP.NET Core, Entity Framework Core, PostgreSQL, Docker, FluentValidation, Mapperly, ErrorOr, ASP.NET Core Identity, JWT, Scalar, and Postman. The course works on bothWindows and macOS, with Visual Studio Community and VS Code.
Professional API development is one of the most valuable skills a .NET developer can have. Learn it the right way, with the tools modern developers actually use.
Enroll now and start building APIs like a pro!
Who this course is for
⭐ C# developers who want to learn how to build REST APIs with ASP.NET Core.
⭐ Anyone who wants to start a career as a .NET backend developer.
⭐ Junior and mid-level developers who want to write professional, production-quality backend code.
⭐ Developers who want to use AI tools in their work without losing control over their code.
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Category: Tutorials
- views: 277
- date: 15 October 2026
- posted by: 0nelove
Boost Productivity with Slack, Google Tools & Email Hacks
Published 10/2026
Created bvy LearnersCare LLC
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 1h 53m ) | Size: 742.9 MB
Transform your workflow using Slack, connecting Slack to Google Analytics, and mastering Slack for ultimate productivity
What you'll learn
⚡ Navigate Slack and configure your profile, workspaces, settings, and preferences for more efficient collaboration.
⚡ Organize team communication using Slack channels, direct messages, message posts, members, and user groups.
⚡ Explore Slack's built-in recording features, analytics, and search tools to support project communication and information discovery.
⚡ Understand how Zapier integrations can connect Slack with other applications to support workflow automation.
⚡ Use Google Workspace tools to improve document creation, file management, scheduling, and team collaboration.
⚡ Apply Google Docs voice typing and explore YouTube transcripts to support content access and productivity.
⚡ Explore Gmail productivity techniques and email management approaches for more organized professional communication.
⚡ Manage appointments and schedules using Google Calendar, including the use of multiple calendars.
⚡ Collaborate on Google Docs, work with Microsoft Word files, and explore collaborative PDF editing.
⚡ Understand collaboration features involving Google Docs, Google Sheets, Google Slides, Google Drive, and Google Forms.
⚡ Use Google Keep to organize tasks and projects within your digital workflow.
⚡ Explore Google Hangouts, Google Voice, and YouTube Live collaboration features for communication and teamwork.
⚡ Understand how offline document access and paid G Suite applications can support different working environments.
⚡ Identify practical ways to combine Slack and Google productivity tools to organize communication, information, and everyday work.
Requirements
❗ A computer or compatible device with an internet connection is recommended for following the practical lessons.
❗ Basic computer and internet browsing skills will help you navigate the tools covered in the course.
❗ Access to Slack and relevant Google services may be required to follow along with account setup and application demonstrations.
❗ A Google account may be useful for exploring Google Docs, Google Drive, Google Calendar, Google Sheets, Google Slides, and other Google tools.
❗ No advanced project management or automation experience is required; a willingness to explore digital productivity tools is sufficient to get started.
Description
This course contains the use of artificial intelligence.
Want to improve your productivity, streamline communication, and manage your daily work more efficiently? This practical course,Boost Productivity with Slack, Google Tools & Email Hacks, will help you explore the features of Slack, Google Workspace, Gmail, and other essential productivity tools to organize tasks, collaborate with teams, and simplify everyday workflows.
Whether you work remotely, manage projects, collaborate with colleagues, or handle multiple responsibilities, learning how to use the right productivity tools can help you work smarter and communicate more effectively.
This course combines two essential areas of workplace productivity:Slack project management and team communication, followed byGoogle Workspace productivity techniques and email management hacks. You will explore practical features and workflows designed to help you organize information, collaborate on documents, manage schedules, share resources, and improve your digital work environment.
What You Will Learn
1. Master Slack for Project Management and Team Communication
Discover how to use Slack as a collaborative workspace for project management, team communication, and workflow coordination. Learn how to create an account, configure your profile, manage multiple workspaces, and customize your Slack environment.
You will explore workspace settings, preferences, member management, user groups, channels, direct messages, and message posting. You will also learn about Slack's built-in recording features, analytics, search functionality, and Zapier integrations.
These practical Slack productivity techniques can help you organize conversations, improve information sharing, reduce communication friction, and manage collaborative work more efficiently.
2. Improve Productivity with Google Workspace Tools
Explore Google Workspace tools that support document creation, collaboration, scheduling, file management, and team productivity. Learn how Google Docs, Google Sheets, Google Slides, Google Drive, Google Forms, Google Calendar, and Google Keep can support different aspects of your daily work.
You will discover how to use voice typing in Google Docs, access YouTube transcripts, collaborate on documents in real time, work with Microsoft Word files, edit PDF documents collaboratively, and use communication features alongside your documents.
The course also introduces practical approaches to organizing files, managing tasks, coordinating schedules, collecting information, and collaborating through Google's productivity ecosystem.
3. Discover Gmail Productivity and Email Management Hacks
Learn how to make your email workflow more efficient by exploring practical Gmail productivity techniques. The course covers external productivity tools and voice-related approaches, along with internal Gmail management techniques designed to help you organize communication and handle email-related tasks more effectively.
These lessons focus on improving everyday email workflows so you can manage professional communication with greater clarity and efficiency.
4. Organize Your Schedule, Tasks, and Digital Workspace
Learn how Google Calendar can help you manage appointments, coordinate schedules, and work with multiple calendars. Explore Google Keep for organizing tasks and projects, Google Drive for managing files, and Google Forms for collecting information.
You will also explore Google Hangouts, Google Voice, YouTube Live collaboration, offline document access, and paid G Suite applications covered in the curriculum.
By understanding how these tools support different workplace activities, you can develop a more organized and flexible digital productivity workflow.
Why Take This Course?
Modern work often involves multiple communication channels, documents, calendars, and collaboration platforms. Without an organized workflow, it can become difficult to keep track of information and coordinate tasks.
This course brings Slack and Google productivity tools together in one learning experience. Instead of focusing on a single application, you will explore a range of practical features that can support communication, collaboration, document management, scheduling, and email productivity.
You will gain a clearer understanding of how these tools work and how to apply their features to everyday professional tasks.
Who Is This Course For?
This course is designed for professionals, students, project coordinators, remote workers, team members, business owners, and anyone who wants to improve their productivity using Slack, Google Workspace, Gmail, and related digital tools.
Whether you are learning these tools for the first time or want to explore additional features, the lessons will help you build a more organized approach to digital work.
Start Improving Your Digital Productivity
If you want to manage team communication more effectively, explore useful Google Workspace features, organize your email workflow, and make better use of everyday productivity applications, this course is a practical place to start.
Enroll on Udemy and begin exploring Slack, Google tools, email productivity techniques, and collaborative workflows that can help you work smarter.
Who this course is for
⭐ Professionals and Office Workers: People who want to organize daily tasks, communication, and documents more efficiently.
⭐ Project Managers and Project Coordinators: Individuals interested in using Slack and productivity applications to support project communication and coordination.
⭐ Remote Workers and Distributed Teams: People who collaborate digitally and want to explore practical communication and workflow tools.
⭐ Team Leaders and Supervisors: Professionals who want to understand Slack channels, user groups, shared documents, and collaborative workspaces.
⭐ Students and Learners: Individuals who want to develop practical skills in digital collaboration and workplace productivity applications.
⭐ Business Owners and Entrepreneurs: People who manage business communication, schedules, files, and administrative tasks using online tools.
⭐ Administrative Professionals: Individuals who handle email, calendars, documents, forms, and information management.
⭐ Freelancers and Independent Professionals: People who want to improve their personal workflow and collaborate with clients or teams online.
⭐ Google Workspace Users: Anyone interested in exploring additional features of Google Docs, Sheets, Slides, Drive, Forms, Calendar, and Keep.
⭐ Productivity Enthusiasts: Learners who want to discover practical Slack features, Gmail productivity hacks, Google tools, and digital collaboration techniques.
https://www.uploadcloud.pro/hn2mgbbg2is7/Boost_Productivity_with_Slack__Google_Tools__amp__Email_Hacks.rar.html
https://rapidgator.net/file/8235e6142d15caea8b5eedb00fe964ab/Boost_Productivity_with_Slack,_Google_Tools_&_Email_Hacks.rar.html
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Category: Tutorials
- views: 247
- date: 15 October 2026
- posted by: 0nelove
Beginner Acoustic Guitar: Chords, Strumming & Fingerpicking
Published 10/2026
Created by Leonardo Pompei
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 46m ) | Size: 3.4 GB
Master major and minor CAGED shapes, sus, 7th and Add9 chords, plus fingerpicking patterns through classic songs.
What you'll learn
⚡ Play essential open guitar chords cleanly and change between them smoothly with practical exercises for acoustic guitar beginners.
⚡ Use beginner strumming patterns, rhythm, accents and grooves to make chord progressions sound musical and confident.
⚡ Use a capo and the CAGED system to play major and minor chords in different keys and positions across the guitar neck
⚡ Learn new songs independently using chord charts, richer chord voicings, simple arpeggios and a repeatable step-by-step system.
Requirements
❗ No prior guitar experience or music theory is required.
Description
Learning acoustic guitarshould notfeel like memorizing endless chord shapes without understanding how they connect.
This course gives beginners and early-stage guitar players a clear, practical path to build a strong acoustic guitar foundation. You will start with essential chords and rhythm, then gradually expand those ideas across the fretboard using the CAGED system before moving into richer chord sounds and fingerpicking.
Build a Practical Acoustic Guitar Foundation
You will begin by learning how to hold and tune your guitar, followed by five essential chord shapes and a useful strumming pattern that can be applied to many songs.
From there, you will discover why those five chord shapes are so important and how theCAGED system allows you to find major and minor chords in different areas of the fretboard.
You will also learn how to expand basic chords with
✨ Sus2 and Sus4 chords
✨ Essential 7th chords
✨ Add9 chords
✨ Major and minor CAGED shapes
✨ Practical fingerpicking patterns
The goal is not to overwhelm you with unnecessary theory. Each concept is demonstrated directly on the guitar so you canunderstand it, hear it and apply it.
Put Everything Into Music
In the fingerpicking section, you will take the techniques you have learned and apply them to complete musical examples, including
✨Amazing Grace
✨How Great Thou Art
✨What a Friend We Have in Jesus
These lessons help you move beyond simply memorizing shapes and begin using chords and fingerpicking in real music.
Who this course is for
⭐ Absolute beginners and early acoustic guitar players who want to master chords, strumming and CAGED, and learn new songs without relying on song-by-song tutorials
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Category: Tutorials
- views: 132
- date: 15 October 2026
- posted by: 0nelove
AI Project Management: Deliver AI Products That Ship
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 10m | Size: 1.39 GB
Techniques and Strategies for Successful AI Product Delivery
What you'll learn
Run AI initiatives through a four-phase framework (Intake, Design & Build, Readiness & Release, Monitoring) with clear go/no-go gates
Frame AI opportunities with a measurable value hypothesis, explicit scope, a risk tier, and a governance path before any build begins
Manage AI-specific risks such as hallucinations, agent autonomy, and drift using evaluation datasets, human-in-the-loop design, and red teaming
Release and operate AI products with ring-based rollouts, a health dashboard, AI incident playbooks, and keep/change/retire reviews
Requirements
No AI experience needed. Project Management , Program Management, Business Process skills are helpful.
Description
Most AI projects never make it to production. This course teaches you how to deliver the ones that do.
Companies are spending record amounts on AI, yet about 95% of enterprise GenAI pilots show no measurable impact on profit (MIT NANDA, 2025), and more than 80% of AI projects fail, twice the rate of other IT projects (RAND). The technology is rarely the problem. The problem is delivery.
AI products behave differently from traditional software. They give plausible answers that are sometimes wrong, they depend on data, and they change over time. Agents go further: they take actions in real systems. Pure waterfall breaks down because you can't specify accuracy up front. Pure agile breaks down because leadership, risk, and compliance teams need evidence before they approve a release.
This course gives program and project managers a practicalAI Delivery Framework that bridges both worlds. Executives get gates and evidence, and teams keep room to iterate.
What you'll learn
-Why AI delivery is unique: hallucinations, agent autonomy, human-in-the-loop design, evaluation, drift, and adoption
-Phase 1, Opportunity & Intake: turn vague AI ideas into scoped, measurable initiatives with a risk tier and a governance path
-Phase 2, Design & Build Iterations: make the four design decisions that shape every AI product, run a four-lane backlog, and apply an "AI Definition of Done" that gathers evidence as you build
-Phase 3, Readiness & Release: stress testing, red teaming, operational and people readiness, ring-based rollouts, and a documented go/no-go decision
-Phase 4, Monitoring & Evolution: one dashboard that answersIs it good? Is it working? Is it used? Is it safe? , plus drift detection, AI incident playbooks, and keep/change/retire reviews
See it applied
You'll follow a real-world initiative through all four phases and see every deliverable along the way: opportunity briefs, charters, evaluation plans, readiness checklists, rollout plans, and monitoring dashboards.
Make it stick
The course closes with concrete steps for your first week and first month, and the four traps that catch teams adopting a new framework.
No coding required. The framework works alongside the methodology you already use (Agile, Waterfall, SAFe, or hybrid) rather than replacing it.
About your instructorsZorina Alliata is Director of AI Enablement and AI Adjunct Faculty at Georgetown University and OPIT. She helps enterprises move AI from pilot to production, people first.Lyuba Berzinis the co-founder of DeepPlum AI, a consulting company advising small and medium business of using AI efficiently.
Who this course is for
Program and project managers who have been handed an AI initiative and need a proven way to take it from idea to production
Delivery leads and PMO leaders who need gates, evidence, and governance for AI work without slowing down their agile teams
Scrum masters and agile coaches supporting teams that build AI products, agents, or GenAI features
Managers in regulated industries (finance, insurance, healthcare, automotive) who must deliver AI that stands up to compliance and audit
Experienced project managers who are new to AI. No coding or data science background is required.
Homepage
https://www.udemy.com/course/ai-project-management-deliver-ai-products-that-ship/https://www.uploadcloud.pro/o6i4u5t085on/AI_Project_Management_Deliver_AI_Products_That_Ship.part2.rar.html
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https://rapidgator.net/file/c8e6dafe09180358c340ab73b8f358ef/AI_Project_Management_Deliver_AI_Products_That_Ship.part1.rar.html |
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Category: Tutorials
- views: 212
- date: 15 October 2026
- posted by: 0nelove
AI Forward Deployed Engineer Extensive Program
Published 10/2026
Created by Skill Surger
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 153 Lectures ( 22h 23m ) | Size: 21.7 GB
Build, deploy, secure and operate production-grade GenAI, RAG and agentic AI systems as a Forward Deployed Engineer.
What you'll learn
⚡ Understand AI, especially Gen AI from beginner to advanced, in both conceptual and hands on way
⚡ Build production-ready Python services and REST/GraphQL APIs for AI applications.
⚡ Explain transformer and LLM internals well enough to make model, context and serving decisions.
⚡ In depth topics deep dive on Gen AI like RAG, Fine tuning, Agentic AI, long running agents, MCP/ A2A
⚡ Lead the FDE consulting lifecycle from technical discovery and architecture through UAT, ROI and executive handoff.
⚡ Secure GenAI applications with SSO, RBAC, PII controls, sandboxing, guardrails and prompt-injection defenses.
⚡ Optimize inference for latency, throughput and cost using caching, batching, quantization and parallelism.
⚡ Lead the FDE consulting lifecycle from technical discovery and architecture through UAT, ROI and executive handoff.
Requirements
❗ Basic programming knowledge in Python and familiarity with SQL, APIs and Git.
❗ A laptop or development environment capable of running Python and Docker.
❗ Willingness to debug real systems and work through hands-on engineering exercises.
Description
This course contains the use of artificial intelligence.
Master Enterprise Generative AI Engineering: From Foundations to Production-Ready AI Systems and Forward Deployed Engineering (FDE)
Are you ready to move beyond AI demos and build enterprise-grade Generative AI solutions that solve real business problems?
This comprehensive, hands-on program is designed to equip aspiring AI engineers, software developers, solution architects, technical consultants, and Forward Deployed Engineers (FDEs) with the practical skills required to design, develop, deploy, optimize, and maintain production-ready Generative AI applications.
Starting with essential foundations in Python, APIs, cloud computing, machine learning, and deep learning, you will progressively explore Large Language Model (LLM) architectures, transformer fundamentals, tokenization, embeddings, context engineering, and prompt optimization.
You will learn to build sophisticated Retrieval-Augmented Generation (RAG) applications, implement hybrid search and reranking strategies, work with vector databases, develop multimodal AI solutions, and customize models using techniques such as LoRA, QLoRA, and supervised fine-tuning.
The course then advances into Agentic AI and autonomous systems, where you will design intelligent agents capable of reasoning, planning, using tools, maintaining memory, and executing complex workflows. You will explore modern interoperability approaches, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication, to integrate AI agents with enterprise applications and services.
Beyond development, you will gain practical experience with enterprise AI security, authentication, authorization, guardrails, evaluation frameworks, observability, LLMOps, inference optimization, scalability, latency reduction, and cost management.
What makes this program distinctive is its emphasis on the complete Forward Deployed Engineering lifecycle.
You will learn how to translate customer requirements into technical architectures, build proofs of concept, integrate solutions with enterprise infrastructure, evaluate production readiness, manage deployments, and demonstrate measurable business value.
Throughout the course, you will apply your knowledge through practical exercises, real-world enterprise scenarios, and implementation-focused projects.
By the end of the program, you will have completed two portfolio-ready FDE capstone projects, demonstrating your ability to engineer secure, scalable, reliable, and cost-efficient Generative AI systems.
Whether you want to become a Generative AI Engineer, AI Solutions Architect, Agentic AI Developer, or Forward Deployed Engineer, this course provides a structured pathway from foundational knowledge to enterprise AI implementation skills.
Go beyond prompting. Learn to engineer, deploy, and deliver Generative AI solutions for the real world.
Who this course is for
⭐ Beginners to advanced career people who want to pursue career in AI, especially Gen AI
⭐ Software engineers and backend engineers moving into Generative AI
⭐ AI/ML engineers who want production, integration and enterprise deployment skills.
⭐ Solution architects and technical consultants preparing for Forward Deployed Engineer roles.
⭐ Technical leaders who need an end-to-end understanding of enterprise GenAI and agentic systems
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Category: Tutorials
- views: 284
- date: 15 October 2026
- posted by: 0nelove
[img][/img]
AI and Fintech
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 27m | Size: 461.68 MB
Learn AI in FinTech, financial services use cases, banking innovation, implementation challenges, and future trends
What you'll learn
Understand AI and FinTech fundamentals and explore how artificial intelligence is transforming financial services.
Explore AI in FinTech use cases, including applications across banking, finance, customer services, risk, and financial operations.
Analyze the opportunities and challenges of combining AI and FinTech and understand key considerations for implementation.
Examine AI-powered innovation in banking and finance and explore emerging trends shaping the future of FinTech.
Requirements
No specific prerequisites are required. A basic understanding of AI, FinTech, banking, or financial services may be helpful but is not necessary. The course is suitable for professionals interested in understanding how AI is being applied across the FinTech industry.
Description
Explore the Impact of AI on FinTech and Financial Services
Artificial intelligence is transforming financial services by enabling smarter decision-making, improving operational efficiency, strengthening risk management, and creating more personalised customer experiences. This AI and FinTech course explores how these technologies work together and the opportunities they create for the financial industry.
What You'll Learn in This AI and FinTech Course
You'll begin by exploring the fundamentals of artificial intelligence and financial technology, building an understanding of how their combination is changing traditional banking and financial services.
Next, you'll examine practical AI in FinTech applications across financial operations, customer services, data analytics, fraud detection, and risk management. Real-world examples will help you understand how organisations use AI to improve services, streamline processes, and support better business decisions.
The course also examines the challenges and opportunities associated with adopting AI in FinTech. You'll explore implementation considerations, potential limitations, and the importance of evaluating AI solutions before integrating them into financial operations.
You'll then discover how AI-powered innovation is influencing banking and finance, including emerging approaches to delivering financial services and improving organisational performance. Finally, you'll explore future predictions and trends shaping the relationship between artificial intelligence and FinTech.
Who Should Take This Course?
This course is suitable for banking and finance professionals, FinTech specialists, innovation managers, business analysts, executives, entrepreneurs, and financial regulators interested in technology-driven transformation.
No specific prerequisites are required. Basic familiarity with AI, FinTech, or financial services may be helpful but is not essential.
By the end, you'll have a stronger foundation for evaluating AI applications, understanding their business value, and identifying opportunities for responsible AI adoption in financial services.
Who this course is for
Senior executives and decision-makers in financial services
FinTech professionals and innovation managers
Banking and finance professionals
Business professionals and analysts
Professionals interested in AI in FinTech
Learners looking for an AI and FinTech course online
Anyone interested in the intersection of artificial intelligence and financial technology
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Category: Tutorials
- views: 185
- date: 15 October 2026
- posted by: 0nelove
Agile & Scrum Governance for Non-Technical Business
Published 10/2026
Created by Dr. Himani Vashishta
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 31 Lectures ( 3h 11m ) | Size: 4.4 GB
Master Lean-Agile Operations, Scrum Ceremonies, OKRs, and Risk Governance for Marketing, HR, Finance, and Legal
What you'll learn
⚡ You will adapt Agile and Scrum principles directly to non-technical business operations.
⚡ You will prioritize departmental backlogs based on business value, urgency, and cost of delay.
⚡ You will run crisp, 15-minute daily standups focused on unblocking work rather than reciting status.
⚡ You will structure high-impact, slide-free sprint showcases that engage executive leadership.
⚡ You will conduct actionable retrospectives that identify root causes and drive continuous improvement.
⚡ You will define precise Acceptance Criteria and Definitions of Done for non-technical deliverables.
⚡ You will balance team capacity and reduce burnout using work-in-progress limits and flow metrics.
⚡ You will resolve cross-departmental dependencies across legal, procurement, and shared enterprise services.
⚡ You will align annual strategic objectives and quarterly OKRs with actionable bi-weekly sprint goals.
⚡ You will assemble and execute a customized 90-day Agile governance charter for your own business team.
Requirements
❗ Basic familiarity with day-to-day corporate workflows, departmental reporting, and team collaboration.
❗ No prior coding experience, technical engineering background, or software development knowledge is required.
❗ An open mindset ready to shift from command-and-control task management to outcome-driven autonomy.
Description
"This course contains the use of artificial intelligence.
Most organizations preach enterprise agility, yet non-technical departments remain trapped in endless status meetings, shifting priorities, and rigid waterfall approvals. Agile and Scrum are not exclusively software tools—they are adaptive management operating systems engineered to eliminate corporate bottlenecks and accelerate value delivery across all business functions.
Agile & Scrum Governance for Non-Technical Business Teams delivers an end-to-end operational blueprint tailored specifically for non-developers. Across 30 modules, this course translates traditional agile theory into actionable execution strategies for marketing campaigns, talent acquisition pipelines, financial forecasting, and legal compliance workflows. You will master lightweight governance models, manage cross-functional dependencies, set clear decision rights using reimagined RACI frameworks, and steer execution using objective flow metrics rather than subjective status decks.
By enrolling, you gain access to practical toolkits, real-world operational templates, and a step-by-step capstone roadmap to establish an auditable 90-day team governance charter.
Key Takeaways
✨De-Jargonized Frameworks: Master core Scrum roles, artifacts, and ceremonies without software development terminology.
✨Streamlined Decision Rights: Eliminate steering committee gridlock using modern delegation and decentralized governance frameworks.
✨Strategic Execution Alignment: Directly link high-level quarterly OKRs to daily sprint goals and backlogs.
✨Audit-Proof Operational Agility: Embed compliance, risk mitigation (ROAM), and quality controls into a non-technical Definition of Done.
✨Executive-Ready Visibility: Replace 60-page slide decks with 1-page dashboards driven by lead time, cycle time, and throughput.
✨The 90-Day Team Charter: Leave with a concrete, ready-to-deploy operating governance charter for your department.
Who this course is for
⭐ Operations managers, department directors, and team leads in Marketing, Human Resources, Finance, and Legal.
⭐ Project managers and business analysts transitioning from traditional Waterfall to iterative Agile frameworks.
⭐ Aspiring Business Product Owners and Agile Facilitators orchestrating cross-functional operational squads.
⭐ Senior executives and PMO leaders seeking auditable governance models that preserve team autonomy.
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Category: Tutorials
- views: 160
- date: 14 October 2026
- posted by: 0nelove
IEC 61000-4-27 – Voltage Unbalance Immunity Testing Course
Published 10/2026
Created by Purankumar Gajera
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 3h 58m ) | Size: 11.3 GB
Learn IEC 61000-4-27 voltage unbalance immunity testing, including test setup, procedures, generator verification,
What you'll learn
⚡ Explain the fundamentals of voltage unbalance immunity testing and understand its importance in electromagnetic compatibility (EMC) testing of electrical
⚡ Understand the key concepts and parameters of IEC 61000-4-27, including voltage unbalance, phase relationships, test levels, and relevant testing terminology.
⚡ Calculate and interpret voltage unbalance using the appropriate electrical parameters and understand how unbalanced three-phase voltages can affect equipment pe
⚡ Describe the step-by-step procedure for conducting voltage unbalance immunity tests in accordance with the applicable IEC 61000-4-27 requirements.
Requirements
❗ The course is suitable for students, electrical and electronics engineers, EMC engineers, laboratory technicians, quality assurance professionals, and compliance engineers who want to develop their knowledge of voltage unbalance immunity testing.
Description
"This course contains the use of artificial intelligence."
Welcome toIEC 61000-4-27: Voltage Unbalance Immunity Testing, a technical training course designed to help you understand the principles, test setup, procedures, and evaluation methods associated with voltage unbalance immunity testing.
Voltage unbalance is an important power quality condition that can affect the operation and performance of electrical and electronic equipment connected to three-phase power systems. Understanding how equipment responds to voltage unbalance is essential for engineers and professionals involved in electromagnetic compatibility (EMC) testing, product development, laboratory testing, and compliance assessment.
This course introduces the key concepts associated with IEC 61000-4-27 and explains the voltage unbalance immunity testing process in a clear, structured, and practical manner. You will develop an understanding of the technical principles behind the test, the role of test equipment, the preparation of test conditions, and the evaluation and documentation of test results.
What Will You Learn?
Throughout this course, you will explore the fundamentals of voltage unbalance and its relevance to equipment immunity testing. You will learn about the important electrical parameters, phase relationships, and test terminology associated with voltage unbalance.
The course also covers test setup considerations, test generator configuration, laboratory arrangements, and the sequence of activities involved in conducting an immunity test. You will develop an understanding of generator verification, performance checks, equipment behavior during testing, and the importance of recording test conditions and results accurately.
By the end of the course, you will have a structured understanding of the voltage unbalance immunity testing process and the technical considerations involved in evaluating the performance of electrical and electronic equipment.
Topics Covered
The course covers voltage unbalance fundamentals, key concepts and parameters of IEC 61000-4-27, voltage unbalance calculations and interpretation, test equipment and laboratory setup, test generator configuration and verification, immunity test procedures, equipment performance evaluation, and test documentation and reporting considerations.
Who Should Take This Course?
This course is suitable for electrical and electronics engineering students, electrical engineers, EMC engineers, laboratory technicians, quality assurance professionals, compliance engineers, product testing professionals, and anyone interested in developing their understanding of voltage unbalance immunity testing.
It is particularly useful for professionals who work with electrical and electronic equipment, EMC laboratories, product compliance activities, or technical testing procedures.
Prerequisites
No previous experience with IEC 61000-4-27 is required. A basic understanding of electrical engineering concepts, including voltage, current, frequency, and three-phase systems, will be helpful. Beginners with an interest in EMC testing and electrical equipment performance are also welcome.
You do not need specialized laboratory equipment to participate in this course.
Why Take This Course?
This course provides a structured introduction to voltage unbalance immunity testing, helping you connect the underlying electrical principles with the practical considerations of test preparation, execution, and result evaluation. It is designed to support your technical learning and help you build a stronger foundation in EMC testing and compliance.
Enroll today and strengthen your understanding of IEC 61000-4-27 and voltage unbalance immunity testing.
Who this course is for
⭐ This course is designed for students, electrical and electronics engineers, EMC engineers, laboratory technicians, quality assurance professionals, and compliance engineers who want to develop their knowledge and practical understanding of voltage unbalance immunity testing in accordance with IEC 61000-4-27.
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Category: Tutorials
- views: 207
- date: 14 October 2026
- posted by: 0nelove
HTML & CSS Web Development + AI Workflows (Big Picture)
Published 10/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 21m ) | Size: 1.3 GB
Learn web development with HTML, CSS and AI. Build and publish a real responsive website in one weekend, no experience.
What you'll learn
⚡ Understand core web architecture, how browsers render pages, and client-server HTTP request cycles.
⚡ Build semantically structured, clean, and accessible web pages using modern HTML5 tags.
⚡ Style responsive, visually engaging websites using CSS3, modern Flexbox, and layout rules.
⚡ Add interactive logic and DOM event handling to web pages using plain jаvascript.
Requirements
❗ No prior coding experience required! You only need a computer (Windows, Mac, or Linux), an internet connection, and a free web browser.
Description
This course contains the use of artificial intelligence.
Master modern web development fundamentals combined with cutting-edge AI workflows. This comprehensive, practical guide takes you step-by-step through the core pillars of the web: HTML for structure, CSS for design, and jаvascript for interactivity. You will learn not only how to code from scratch, but also how to leverage modern artificial intelligence tools to write clean code faster, debug efficiently, and deploy real-world projects.
Who this course is for
⭐ Absolute beginners, aspiring web developers, entrepreneurs, and designers who want to learn HTML, CSS, jаvascript, and modern AI coding workflows.
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Category: Tutorials
- views: 120
- date: 14 October 2026
- posted by: 0nelove
Excel Pro: From Basics to Brilliance
Published 10/2026
Created by Raunak Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 72 Lectures ( 6h 53m ) | Size: 5.4 GB
Master Excel fundamentals to advanced formulas, Pivot Tables, Power Query, charts, dashboards, and AI-assisted analysis
What you'll learn
⚡ Build a strong Excel foundation and confidently work with formulas, references, sorting, filtering, data validation, and data cleaning.
⚡ Use advanced Excel formulas including VLOOKUP, XLOOKUP, INDEX-MATCH, IF, IFS, SUMIF/SUMIFS, COUNTIF, AVERAGEIF, MAXIFS, MINIFS, and IFERROR.
⚡ Analyze and present data effectively using Pivot Tables, slicers, charts, advanced visualizations, and Power Query for data transformation and consolidation.
⚡ Use AI with Excel through Copilot and other LLMs to analyze data, generate ideas, and create simple macros using AI-assisted coding.
Requirements
❗ No prior Excel experience is required. You only need access to Microsoft Excel and a willingness to practice. The course starts from the basics and gradually moves to advanced analysis, Power Query, visualization, and AI-assisted Excel workflows.
DescriptionExcel Pro: From Basics to Brilliance is a practical, step-by-step course designed to help you become confident in Microsoft Excel, whether you are starting from scratch or looking to strengthen your existing skills.
The course begins with the foundations of Excel, including the interface, navigation, data types, formulas, and cell referencing. From there, you will learn how to organize and clean data using sorting, filtering, conditional formatting, data validation, Flash Fill, and text-cleaning techniques.
You will then move into some of the most important Excel functions used in real-world work, includingVLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH, IF, IFS, AND, OR, SUMIF, COUNTIF, AVERAGEIF, MAXIFS, MINIFS, and IFERROR.
A major part of the course focuses on data analysis. You will learn how to create and analyzePivot Tables, use slicers and grouping, and quickly summarize large datasets. You will also learn how to present your analysis effectively usingcharts, maps, and advanced visualizations.
The course also introducesPower Query, helping you connect, clean, transform, consolidate, append, merge, and refresh data efficiently.
Finally, you will explore howAI is changing the way we work with Excel. You will learn how to use Copilot and other AI tools for analysis, idea generation, formula assistance, and even creating simple macros through AI-assisted coding.
Throughout the course, the focus is on practical application, not just theory. You will work through exercises and examples designed to help you use Excel confidently in academic, business, and professional settings.
By the end of the course, you will be able to clean, analyze, visualize, and transform data in Excel while also using modern AI tools to work faster and smarter.
Who this course is for
⭐ Students, working professionals, business users, aspiring analysts, and anyone who wants to become confident in Excel for data analysis, reporting, dashboards, automation, and practical workplace problem-solving.
Homepage
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