Mar 27
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🚀 Want to learn Generative AI from scratch? This complete course covers everything you need to become job-ready in AI! In this video, you will learn: ✔️ What is Generative AI ✔️ What are LLMs (Large Language Models) ✔️ How LLMs actually work ✔️ Prompt Engineering (best practices) ✔️ RAG (Retrieval Augmented Generation) ✔️ AI Agents and real-world use cases ✔️ LangChain basics and components ✔️ How to build AI applications This is a beginner to advanced roadmap for anyone who wants to start a career in AI, Machine Learning, or Data Science. 💡 Perfect for: - Students - Beginners in AI - Developers - Anyone curious about ChatGPT & AI tools 0:00 Introduction & Course Roadmap 5:49 How AI Models are Built 10:21 Application Layer & Real-world Use Cases 11:17 Plan of Action for the Course 12:49 What are LLMs (Large Language Models) 15:13 How LLMs Work (Prediction) 16:42 Popular LLMs (GPT, Gemini, Llama, etc.) 17:43 Why You Cannot Train Your Own LLM 18:07 Using LLM APIs 19:16 Introduction to LangChain 20:39 LangChain Core Components 21:03 Types of Models (Chat, Embedding, Multimodal) 23:08 Prompt Engineering & Types of Prompts 25:05 LLM Memory 29:31 RAG (Retrieval Augmented Generation) 31:28 AI Agents vs Chains 📌 Topics Covered: Generative AI, LLM, GPT, RAG, Agents, LangChain, Prompt Engineering, AI Projects, AI Roadmap 🔥 Don’t forget to LIKE, SHARE & SUBSCRIBE for more AI content! #GenerativeAI #LLM #RAG #AI #MachineLearning #LangChain #AIProjects #ChatGPT