Napisane przez: OneDDL - 18-01-2026, 16:30 - Forum: Propozycje
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Free DownloadGovernance, Risk Management and Compliance in Cybersecurity
Published 1/2026
Created by Dr. Kumar B V
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 46 Lectures ( 4h 40m ) | Size: 8.63 GB
Master governance, risk, and compliance frameworks, real-world case studies, and hands-on labs for modern cybersecurity What you'll learn
✓ Students will be able to understand the importance of aspects such as Governance, Risk Management and Compliance as applied to the organisation.
✓ Students will be able to distinguish between different components of cybersecurity vis-a-vis the three pillars that make up GRC as the world digitally evolves.
✓ Understand Risk, Risk Management, Risk Mitigation, as the new AI challenges shaking the very foundation of today's business race in digital world.
✓ Understand compliance, its importance, cyber laws, acts, and their evolution to plug the holes that are exploited by the hackers, who are in a race to control. Requirements
● This course is a part and parcel for practitioners and undergraduate IT students and Graduate cyber security students. Understanding of how today's digital world works and knowledge of computers, mobiles, networks, cyber security details help in a better understanding of the subject. Description
Course Description
Governance, Risk Management, and Compliance (GRC) form the backbone of effective cybersecurity in modern organizations. As enterprises become more digital, interconnected, and regulated, cybersecurity can no longer be addressed through technical controls alone. It requires structured governance, informed risk decision-making, and demonstrable compliance. This course, "Governance, Risk Management and Compliance in Cybersecurity," is designed to provide a clear, practical, and holistic understanding of GRC in enterprise IT and cybersecurity environments.
The course is organized into 9 structured sections and 46 lectures, covering the full GRC lifecycle-from foundational concepts and governance principles to risk assessment methodologies, compliance frameworks, security policies, audit management, third-party risk, and holistic GRC integration. You will learn how governance sets strategic direction, how risks are identified and prioritized using qualitative and quantitative approaches, and how compliance aligns organizations with legal, regulatory, and ethical expectations.
Real-world relevance is a key strength of this course. You will analyze multiple industry case studies, including well-known cybersecurity incidents and success stories, to understand how GRC failures and strengths impact organizations in practice. The course also includes three hands-on labs, including an advanced group-style simulation, allowing you to apply GRC concepts in realistic scenarios involving risk assessment, compliance mapping, and decision-making under pressure.
Each lecture is supported by visual infographics to simplify complex concepts, and every section includes a preview lecture to set clear expectations and learning objectives. This course is ideal for IT professionals, cybersecurity practitioners, risk managers, auditors, compliance professionals, and anyone seeking to build or strengthen practical GRC expertise. By the end of the course, you will have the knowledge, context, and confidence to apply GRC principles effectively in real organizational environments.
What you'll learn
• Understand the core principles of Governance, Risk Management, and Compliance (GRC) and how they integrate within enterprise IT and cybersecurity environments
• Apply governance concepts to define risk appetite, accountability, policies, and decision-making structures for cybersecurity programs
• Identify, assess, and prioritize cybersecurity risks using qualitative and quantitative risk assessment methodologies, including industry-recognized approaches
• Analyze and apply regulatory and compliance frameworks such as GDPR, HIPAA, NIST, ISO, and other global standards within a GRC context
• Design and evaluate security policies covering human resources, physical security, account and asset management, and vendor governance
• Implement business continuity, disaster recovery, and contingency planning to support operational resilience during disruptive events
• Manage third-party, client, partner, and vendor risks, including due diligence, contractual controls, and supply-chain security considerations
• Understand the audit lifecycle, including planning, execution, reporting, remediation, and emerging audit trends such as AI-assisted audits and blockchain-based audit trails
• Use GRC tools, dashboards, and automation platforms to monitor risk, compliance, and vendor security posture at scale
• Learn from real-world case studies to identify common GRC failures and success patterns across industries
• Apply GRC concepts through hands-on labs and simulations, including risk assessment, compliance mapping, and incident-driven decision-making
• Develop a holistic, integrated GRC mindset that balances security, compliance, business objectives, and operational agility
Target Audience
This course is designed for professionals and learners who want to understand and apply Governance, Risk Management, and Compliance (GRC) in modern IT and cybersecurity environments, including
• IT and Cybersecurity professionals who want to move beyond technical controls and understand governance, risk, and compliance decision-making
• Information Security, GRC, Risk, and Compliance professionals seeking structured, practical knowledge aligned with real-world enterprise practices
• Auditors and assurance professionals looking to strengthen their understanding of cybersecurity audits, controls, and emerging audit trends
• Risk managers and business continuity professionals responsible for identifying, assessing, and mitigating technology and operational risks
• Managers, architects, and technology leaders involved in policy development, third-party management, or cybersecurity oversight
• Students and early-career professionals aspiring to build a career in cybersecurity governance, risk management, or compliance
Prerequisites
• A basic understanding of IT systems and cybersecurity concepts (such as networks, systems, or information security fundamentals) is helpful but not mandatory
• Familiarity with enterprise environments or business processes is beneficial, though the course explains concepts from first principles
• No prior experience in GRC, risk management, auditing, or compliance frameworks is required
• The course is suitable for both beginners transitioning into GRC roles and experienced professionals seeking structured, end-to-end understanding
Role-Based Learning Outcomes
GRC Analyst
By completing this course, a GRC Analyst will be able to
• Interpret and apply governance, risk, and compliance frameworks within enterprise IT and cybersecurity environments
• Perform risk identification and assessment using structured qualitative and quantitative methodologies
• Map regulatory and framework requirements to organizational policies, controls, and evidence
• Support GRC reporting and dashboards using metrics, risk registers, and compliance tracking tools
• Assist in third-party risk assessments and vendor due diligence activities
• Contribute to policy development, review, and enforcement across business and technology teams
Auditor (Internal or External)
By completing this course, an Auditor will be able to
• Understand cybersecurity governance structures and evaluate their effectiveness
• Plan and execute IT and cybersecurity audits, including scope definition and evidence collection
• Assess compliance with regulatory and industry frameworks such as ISO, NIST, SOC, and others
• Evaluate risk management practices and their alignment with organizational objectives
• Produce clear, actionable audit reports and support remediation and follow-up activities
• Analyze emerging audit trends, including AI-assisted audits and technology-enabled assurance
CISO Support / Security Leadership Support
By completing this course, professionals supporting CISO and security leadership roles will be able to
• Translate technical cybersecurity risks into business-aligned risk narratives for executives and boards
• Support governance decision-making, policy alignment, and risk appetite discussions
• Assist in integrating GRC activities with security operations, audits, and compliance initiatives
• Contribute to board-level reporting using metrics, dashboards, and risk summaries
• Support incident response, audit readiness, and regulatory engagements from a GRC perspective
• Help design and sustain a holistic, enterprise-wide GRC operating model
Risk Manager
By completing this course, a Risk Manager will be able to
• Identify, assess, and prioritize cybersecurity and technology risks across enterprise environments
• Apply risk assessment methodologies to evaluate business impact, likelihood, and exposure
• Align risk treatment strategies with governance structures and compliance obligations
• Integrate third-party, vendor, and supply-chain risks into enterprise risk management programs
• Support business continuity, disaster recovery, and contingency planning initiatives
• Monitor risk posture using metrics, tools, and continuous risk monitoring approaches Who this course is for
■ Final year IT Graduates, Final Year CS Graduates, Post-Graduate students of Cybersecurity, IT and Network Administrators, budding CIOs, CISOs, and CTOs. Homepage
Napisane przez: OneDDL - 18-01-2026, 16:29 - Forum: Propozycje
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Free DownloadGoal Setting Reset Break Shame Spirals and Stay Consistent
Last updated 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 36m | Size: 1.31 GB
A 3-step reset to restart after setbacks, stop self-sabotage, and build consistency without relying on motivation
What you'll learn
Recognize how shame and "failure stories" create a negative feedback loop that kills motivation and consistency
Use the Unshame method to rewrite setbacks into lessons, data, and next steps (instead of identity)
Reframe goals into realistic milestones so progress feels achievable again
Spot common mental traps (perfectionism, what-if spirals, overthinking) and shift them in the moment
Create a simple "Today I will stop." boundary plan to reduce people-pleasing and self-sabotage
Build consistency using identity-based motivation and future-you thinking (not willpower alone)
Break the stop-start cycle and design a sustainable restart plan for when life happens
Know when to seek extra support (coach, mentor, accountability) and how to use it effectively Requirements
No prior experience needed
Willingness to reflect honestly (this is practical, but it goes deeper than "just think positive")
A notebook or notes app for the guided exercises (recommended) Description
Setbacks happen. You get sick, life gets busy, motivation drops, and suddenly the goal you cared about turns into a shame spiral. You tell yourself you are behind, you are failing, or you are "just not that person." And the more shame you feel, the harder it is to restart.This course gives you a practical reset to break that cycle and build consistency in a way that is realistic, sustainable, and self-respecting. People often search for this as self-discipline, staying consistent, procrastination, goal setting, motivation, perfectionism, or self-sabotage. If you have a stop-start relationship with your goals, you are in the right place.You will learn a simple 3-part framework you can reuse anytime you fall off track:UnshameName the goal you did not meet, identify the emotions and self-talk that followed, and rewrite the story so setbacks become data, not identity.ReframeCatch the "what if" spiral, shift your interpretation in the moment, and reset your priorities with more realistic milestones and stronger boundaries.SustainBuild a consistency strategy that works even if you are not naturally "disciplined." Instead of relying on motivation, you will use identity-based motivation, future-you thinking, and long-term reward to keep going.This course includes guided exercises like the Unshaming Activity and the "Today I will stop." practice, plus coaching insights on perfectionism, negative self-talk, and getting back on track without beating yourself up.If you are ready to stop treating setbacks like proof you are failing, and start treating them like part of the process, this course will give you a clear reset you can return to again and again.Topics you will learn in this course: self discipline, discipline, consistency, stay consistent, procrastination, habits, motivation, goal setting, perfectionism, self sabotage, people pleasing Who this course is for
Anyone who sets goals and then feels stuck in shame after setbacks
Professionals, entrepreneurs, and students dealing with self-doubt, perfectionism, or imposter syndrome
People who struggle with consistency and feel like they have a stop-start relationship with their goals
Folks navigating burnout, stress, or major life changes who need a realistic reset (not a hype speech)
People who want practical exercises they can repeat anytime they fall off track Homepage
Napisane przez: OneDDL - 18-01-2026, 16:28 - Forum: Propozycje
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Free DownloadGenerative AI for Upskilling and Learning Initiatives
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 45m | Size: 3.2 GB
Design personalized, scalable L&D with generative AI-content, assessments, coaches, simulations, strategy, and ethics.
What you'll learn
Explain core Generative AI concepts and how they apply to workplace L&D
Design personalized learning paths using skills, role context, and performance data
Create AI-generated curriculum assets (lessons, quizzes, slides, scripts) with human QA
Implement adaptive assessments with scenario-based items and actionable AI feedback
Deploy AI coaches/chatbots to support onboarding and learning in the flow of work
Build an AI-in-L&D rollout plan: pilots, metrics, governance, and change management Requirements
There are no pre-requisites for this course Description
Nearly half of the skills people use at work today are expected to change in just a few years. Meanwhile, L&D teams often spend a huge portion of their time creating and updating content-yet learners still report that training feels generic, slow, and disconnected from real work.Now add one more reality: many AI pilots never scale-not because the tech is bad, but because there's no clear strategy, weak governance, and no tie to business outcomes.So how do you move past the hype and use Generative AI to build upskilling and learning initiatives that are actually faster to create, personalized to each employee, and scalable across teams-without sacrificing trust, accuracy, or the human touch?That's exactly what this course is designed to teach.In this course, you'll learn how to:- Understand Generative AI fundamentals for L&D (what it is, how it differs from traditional AI)- Build personalized learning paths at scale using role, skills, and performance signals- Design adaptive learning experiences that adjust difficulty and pacing in real time- Generate curriculum assets faster (lesson drafts, quizzes, slide decks, scripts, audio/video)- Create AI-driven assessments and feedback that feel like coaching-not just grading- Use AI simulations and immersive scenarios to practice soft skills and real-world decisions- Deploy AI virtual coaches/chatbots for onboarding, in-the-flow support, and career growth- Integrate AI into an L&D strategy: pilots, measurement, change management, and scaling- Apply best practices for privacy, bias mitigation, human oversight, and transparency- Learn from real-world examples, including an in-depth Bank of America case studyBy the end, you'll have a practical blueprint for launching (or upgrading) Generative AI-powered upskilling and learning initiatives-aligned to business goals, measurable in impact, and built with ethical guardrails.If you work in HR, Learning & Development, Talent Development, People Ops, or you own training outcomes for your team, this course will help you turn Generative AI into a responsible, high-impact learning advantage. Who this course is for
Learning & Development (L&D) professionals and instructional designers
HR, People Ops, and Talent Development leaders
Training managers building onboarding and upskilling programs
Organizational development (OD) and workforce transformation teams
People analytics / HR analytics professionals interested in skills data
Business leaders and managers responsible for team capability building
Anyone exploring how Generative AI can modernize corporate learning initiatives Homepage
Napisane przez: OneDDL - 18-01-2026, 16:27 - Forum: Propozycje
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Free DownloadGenerative AI for Entrepreneurs & Startup [GenAI - 11]
Published 1/2026
Created by Nirmala Lall
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 52 Lectures ( 13h 42m ) | Size: 7.61 GB
Master GenAI Business Models, Frameworks & Cybersecurity for Startup Success in the AI-Driven Economy What you'll learn
✓ Master generative AI fundamentals and apply LLMs, GANs, and diffusion models to create innovative business solutions and competitive advantages.
✓ Master generative AI fundamentals and apply LLMs, GANs, and diffusion models to create innovative business solutions and competitive advantages.
✓ Implement cybersecurity best practices and AI-augmented defenses to protect your startup from evolving threats and adversarial AI attacks.
✓ Navigate AI governance, compliance, and ethics while building responsible, scalable AI systems aligned with GDPR and emerging regulations.
✓ Identify and mitigate AI risks including bias, hallucinations, prompt injection, model exploitation, and data privacy vulnerabilities.
✓ Deploy secure AI architectures using red teaming, penetration testing, and continuous monitoring for resilient startup operations. Requirements
● Open mindset toward AI adoption
● Curiosity about technology and innovation Description
This course contains the use of artificial intelligence. This comprehensive course equips entrepreneurs and startup founders with the theoretical foundations, practical frameworks, and strategic insights needed to harness generative AI while building cyber-resilient businesses in today's rapidly evolving digital landscape.
What You'll Master
Starting from AI fundamentals, you'll explore generative models including LLMs, GANs, VAEs, and diffusion models, understanding how these technologies power tools like ChatGPT, Gemini, DALL-E, and Midjourney. You'll learn to evaluate the generative AI ecosystem, distinguishing between open-source and proprietary solutions for your specific business needs.
The course delivers actionable business frameworks for creating AI-driven value across content creation, product design, marketing, and customer support. Through real-world case studies, you'll examine successful AI startups and learn from notable failures, understanding strategic implementation from ideation to scaling and operationalization.
Cybersecurity Integration
Uniquely, this course addresses the critical interplay between generative AI and cybersecurity. You'll master cybersecurity essentials including the CIA triad, threat landscapes, and frameworks like NIST and ISO 27001. Crucially, you'll understand how generative AI transforms both offensive and defensive cybersecurity-from AI-powered threat detection to adversarial attacks using AI-generated phishing and malware.
Governance and Ethics
Navigate AI governance, compliance (GDPR, AI Act), and responsible innovation principles. Learn to mitigate technical risks like bias and hallucinations, business risks including over-reliance, and emerging threats like prompt injection and model exploitation.
Primary Topics
• Generative AI principles, technologies, and business applications
• Cybersecurity fundamentals and AI-augmented defense strategies
• Business model innovation and strategic AI implementation frameworks
• Risk management, governance, and regulatory compliance
• The double-edged sword: GenAI for both cyber offense and defense
• Ethical considerations, future trends, and building AI-ready, cyber-resilient startups
Whether you're launching your first venture or scaling an existing business, this course provides the knowledge to innovate confidently while protecting your startup in the AI era. Who this course is for
■ Startup founders and aspiring entrepreneurs - Building or planning to launch a business and want to leverage generative AI for competitive advantage while understanding cybersecurity implications for sustainable growth.
■ Business leaders and product managers - Responsible for innovation, digital transformation, or product strategy and need practical frameworks to implement AI responsibly while managing emerging security risks.
■ Non-technical executives and decision-makers - Leading organizations through AI adoption without deep technical backgrounds, seeking clear insights into AI business models, governance, compliance, and risk mitigation strategies.
■ Innovation consultants and strategists - Advising clients on AI integration, digital disruption, or cybersecurity and need comprehensive knowledge of generative AI applications, frameworks, and the evolving threat landscape.
■ Career pivoters entering the AI entrepreneurship space - Professionals transitioning from traditional industries who want to understand how generative AI creates opportunities while building cyber-resilient ventures from the ground up. Homepage
Napisane przez: OneDDL - 18-01-2026, 16:26 - Forum: Propozycje
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Free DownloadGenerative AI Explained with Manga The Ultimate Visual Guide
Published 1/2026
Created by Takuma Yanagibori
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 72 Lectures ( 5h 58m ) | Size: 8.5 GB
Master ChatGPT, AI Agents, and Workflows through intuitive illustrations. No complex tech jargon-just clear concepts for What you'll learn
✓ Understand the core mechanics of ChatGPT and AI Agents through clear, manga-style visual illustrations.
✓ Design efficient AI workflows for business using tools like Dify and n8n without needing technical coding skills.
✓ Apply advanced prompt engineering and information structuring techniques to get high-quality results from AI.
✓ Identify and mitigate security risks, legal issues, and ethical concerns associated with Generative AI usage. Requirements
● No prior experience with AI or programming is required-we explain concepts from the ground up.
● A basic curiosity about how AI can improve your work and daily life is the only prerequisite.
● No complex software installation is needed; we focus on conceptual understanding through visuals.
● Ideal for those who find text-heavy technical guides difficult to follow and prefer visual learning. Description
※This course includes the use of AI.
Master AI through visual storytelling-no complex UI screens, just clear conceptual manga illustrations.
Are you feeling overwhelmed by the rapid rise of Generative AI? Do terms like "LLM," "RAG," and "API" sound like a foreign language? Most AI courses focus on code, complex dashboards, and rapidly changing interfaces. This course is different.
We have transformed the most difficult Generative AI concepts into Japanese Manga-style illustrations. By focusing entirely on conceptual visual guides rather than technical software screens, we make the "invisible" mechanics of AI visible, intuitive, and easy to grasp at a glance. Whether you are a business leader or a complete beginner, this visual approach ensures you won't get lost in the jargon.
▼What You Will Learn
• Core Concepts: Understand the inner workings of ChatGPT and AI Agents through visual metaphors that stick in your memory.
• Strategic Usage: Learn exactly when to use AI versus a traditional Search Engine for maximum daily productivity.
• Workflow Design: Map out AI-powered business processes using the logic of Dify and n8n to automate your routine.
• Prompt Mastery: Master the art of "verbalization" and information structuring so the AI understands your intent every time.
• Safety & Ethics: Navigate the complex world of data security, copyright, and the legal landscape of GenAI with confidence.
▼Why This Course?
• 100% Visual Learning: Perfect for visual learners who find traditional, text-heavy technical guides exhausting or boring.
• Conceptual Focus: We don't just show you where to click; we teach you how the "AI brain" actually thinks and processes information.
• Zero Technical Experience Needed: This curriculum is designed specifically for non-engineers and business professionals who need to stay competitive.
• Future-Proof Insights: Gain a clear vision of how AI will transform advertising, media, and your specific job role over the next two years.
Stop struggling with dense documentation and start seeing the future of AI. Join us today and master the AI era through the power of visual storytelling! Who this course is for
■ Business professionals and beginners who want to understand AI concepts without the technical headache.
■ Managers and entrepreneurs looking to integrate AI workflows into their organization effectively.
■ Marketers and media creators who need to understand how Generative AI is reshaping their industry.
■ Visual learners who prefer illustrated explanations and metaphors over complex UI walkthroughs. Homepage
Napisane przez: OneDDL - 18-01-2026, 16:25 - Forum: Propozycje
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Free DownloadGO Programming The Complete Guide to Golang Development
Published 1/2026
Created by Muhammad Riaz Uddin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 33 Lectures ( 4h 56m ) | Size: 2.44 GB
Learn Go Programming by Building Real World Applications, APIs, and Tools - Master Concurrency, Interfaces, and More! What you'll learn
✓ What is Go and Why Use It?
✓ Installing Go on Windows/Mac/Linux
✓ Your First Go Program
✓ Variables and Constants
✓ Data Types in Go
✓ Operators and Expressions
✓ Control Structures
✓ Functions and Defer
✓ Arrays and Slices
✓ Working with Ranges
✓ Defining and Using Structs
✓ Embedding and Composition
✓ Understanding Pointers in Go
✓ Memory Management and Garbage Collection
✓ Using errors and fmt.Errorf
✓ Channels and Buffered Channels
✓ Mutexes and WaitGroups
✓ Working with the io and bufio packages
✓ JSON and CSV Data Processing
✓ Understanding Go Modules
✓ Introduction to Web Development in Go
✓ Routing with Gorilla Mux
✓ JSON Requests and Responses
✓ Mocking and Dependency Injection Requirements
● Basic Programming knowledge is required but not mandatory. Description
GO Programming: The Complete Guide to Golang Development
Learn GO programming (Golang) from scratch and build fast, efficient, and scalable applications used in modern backend and cloud systems. This course is designed for beginners and developers who want to master GO and apply it to real-world projects.
You'll start with the fundamentals of GO (Golang), including syntax, data types, and control structures. As you progress, you'll explore powerful GO features such as concurrency with goroutines, channels, error handling, and performance optimization. Through hands-on examples and practical projects, you'll gain the skills needed to build production ready applications.
What You'll Learn
• GO programming fundamentals and Golang syntax
• Building fast and scalable applications with GO
• Concurrency in GO using goroutines and channels
• Working with APIs, files, and databases
• Error handling, testing, and best practices in Golang
• Writing clean, efficient, and maintainable GO code
• Deploying GO applications for real-world use Who This Course Is For
• Beginners who want to learn GO (Golang) from scratch
• Developers transitioning to backend or cloud development
• Programmers looking to improve performance and scalability skills
• Anyone preparing for a career in backend or systems development
Why Learn GO (Golang)?
• GO is widely used for backend, cloud, and microservices development
• Known for simplicity, speed, and excellent concurrency support
• High demand for GO developers in today's job market
• Ideal for building scalable and reliable systems
By the end of this course, you'll confidently write production ready applications using GO (Golang) and have the skills needed to build fast, scalable backend systems.
Enroll now and start mastering GO programming today. Who this course is for
■ Beginners who want to learn GO (Golang) from scratch
■ Developers transitioning to backend or cloud development
■ Programmers looking to improve performance and scalability skills
■ Anyone preparing for a career in backend or systems development Homepage
Napisane przez: OneDDL - 18-01-2026, 16:24 - Forum: Propozycje
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Free DownloadFull Stack AI Engineer 2026 - Generative AI & LLMs III
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 6h 8m | Size: 3.38 GB
Build production-ready generative AI systems using LLMs, RAG, agents, and full-stack engineering practices
What you'll learn
Design and build production-ready generative AI systems using Large Language Models (LLMs), transformers, embeddings, and modern AI architectures.
Implement Retrieval-Augmented Generation (RAG) pipelines to ground LLMs in external knowledge, reduce hallucinations, and enable enterprise-grade AI application
Develop autonomous agentic AI systems using tool calling, multi-step reasoning, memory, and human-in-the-loop controls.
Create full-stack LLM applications by integrating FastAPI backends, streaming chat interfaces, frontend UX patterns, and stateful memory management.
Optimize AI systems for cost, latency, and scalability using token optimization, caching strategies, model selection tradeoffs, and load management techniques.
Evaluate and monitor LLM outputs using human and automated evaluation methods to ensure accuracy, relevance, and faithfulness.
Apply security, safety, and governance best practices by implementing guardrails, output filtering, policy-based controls, and responsible AI framework Requirements
Basic programming knowledge (Python preferred, but not mandatory at an expert level)
General understanding of APIs or web applications (helpful, not required)
Curiosity about AI and willingness to build hands-on projects Description
"This course contains the use of artificial intelligence"This course is a comprehensive, hands-on journey into Generative AI and Large Language Models (LLMs) designed specifically for Full-Stack AI Engineers. Unlike high-level or theory-only courses, this program focuses on how modern AI systems are actually built, deployed, optimized, and governed in production environments.You will move beyond simple prompt experiments and learn how to engineer reliable, scalable, and enterprise-ready AI systems using LLMs, embeddings, retrieval, agents, tools, and full-stack application architectures. Every section of this course includes a step-by-step hands-on lab, ensuring you not only understand the concepts but also implement them in real code.Section 1 - Introduction to Generative AIYou will build strong conceptual foundations by understanding Generative AI vs Discriminative Models, why generative systems matter, and how they are used across real-world industries such as enterprise software, healthcare, finance, and aviation. Hands-on Lab: Compare discriminative vs generative models, generate text using transformer-based models, and map real-world generative AI use cases.Section 2 - Transformer Architecture & LLM FundamentalsThis section demystifies how transformers actually work, including self-attention, positional encoding, and encoder vs decoder architectures. You'll also explore tokenization, embeddings, context windows, and how LLMs are trained using pretraining, fine-tuning, instruction tuning, and RLHF. Hands-on Lab: Implement self-attention concepts, visualize tokenization and embeddings, and simulate LLM training workflows at a high level.Section 3 - Large Language Models in PracticeYou will work hands-on with popular LLM families including GPT, Claude, Gemini, LLaMA, Mistral, and Falcon, and learn how to choose the right model based on quality, cost, latency, and use case requirements. Hands-on Lab: Build a multi-model evaluation harness, test hallucinations and bias, and integrate LLM APIs using temperature, top-p, and max tokens.Section 4 - Prompt Engineering for EngineersThis section teaches prompt engineering as a software engineering discipline, covering system, user, and assistant roles, zero-shot, one-shot, and few-shot prompting, and advanced techniques like chain-of-thought, self-consistency, and constraint-based prompting. Hands-on Lab: Design robust prompt templates, defend against prompt injection, and implement input/output validation for safe prompting.Section 5 - Embeddings & Semantic SearchYou'll learn how vector embeddings represent meaning, how cosine similarity and dot product work, and how to build semantic search pipelines using chunking strategies, embedding generation, and similarity-based retrieval. Hands-on Lab: Build a semantic search system using FAISS and Chroma, compare chunking strategies, and evaluate retrieval accuracy.Section 6 - Retrieval-Augmented Generation (RAG)This section shows how to eliminate hallucinations by grounding LLMs with external knowledge using RAG architectures, document ingestion pipelines, retriever-generator flows, and context window management. Hands-on Lab: Build a full RAG pipeline, implement hybrid search, apply re-ranking strategies, and perform multi-document reasoning with citations.Section 7 - Tool Calling & Function-Based LLMsYou will learn how to make LLMs interact with real systems using function calling, structured JSON outputs, and API-based tools, enabling models to take meaningful actions. Hands-on Lab: Build tool-using agents, implement stateless and stateful tools, add validation and error handling, and create multi-step tool chains with observability.Section 8 - Agentic AI SystemsThis section focuses on building autonomous AI agents with planning, memory, execution, and self-correction using architectures such as ReAct, Planner-Executor, and multi-agent systems. Hands-on Lab: Build autonomous agents, implement long-term memory, enable task decomposition, and add human-in-the-loop (HITL) control.Section 9 - Full-Stack LLM Application DevelopmentYou'll integrate AI into real applications using FastAPI-based backends, streaming responses, and frontend chat interfaces, while managing state, memory, and context across sessions. Hands-on Lab: Build a full-stack LLM application with streaming chat, session memory, persistent storage, and context pruning strategies.Section 10 - Evaluation, Cost & Performance OptimizationThis section teaches how to measure and optimize AI systems using human and automated evaluation, accuracy, relevance, and faithfulness metrics, and how to reduce costs through token optimization, caching, and model routing. Hands-on Lab: Build an evaluation harness, implement response caching, compare model tiers, and perform latency and load testing.Section 11 - Ethics, Security & Responsible AIYou'll learn how to deploy AI responsibly using guardrails, output filtering, policy-based controls, and enterprise governance frameworks to ensure safety, compliance, and trust. Hands-on Lab: Implement security defenses, prompt injection protection, output validation, and enterprise-ready AI governance workflows.By the End of This Course, You Will Be Able To:Build production-ready generative AI systemsDesign robust prompts and agent architecturesImplement RAG pipelines and semantic searchDevelop full-stack LLM applicationsOptimize cost, latency, and scalabilityDeploy secure, governed, enterprise-grade AI Who this course is for
Software engineers and full-stack developers who want to integrate LLMs and generative AI into real applications
Aspiring AI engineers looking to build job-ready skills in LLMs, RAG, agentic AI, and AI system design
Data engineers, data scientists, and ML engineers who want to move from model training to end-to-end AI system development
Backend and API developers interested in building LLM-powered services, chat systems, and AI-driven workflows
Product engineers and technical founders who want to design scalable, reliable AI-powered products
Students and recent graduates preparing for roles in AI engineering, applied AI, or full-stack AI development Homepage
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