Generative AI is revolutionizing industries — from automated content creation to intelligent agents and search-augmented AI assistants. Whether you’re a student, developer, or working professional, understanding GenAI is no longer optional — it’s essential.
In this blog, we’ve curated the best 6 free YouTube resources to help you master GenAI from scratch to advanced, using tools like LLMs, LangChain, RAG, Vector Databases, and agentic workflows.
🧑🏫 1️⃣ Ayush Singh – GenAI Complete Course (2024)
📺 Link: Watch Now
🎓 Instructor: Ayush Singh
⏱️ Duration: ~4 hours
🎯 Level: Beginner to Intermediate
🔍 What You’ll Learn:
- Introduction to GenAI & foundational concepts
- Large Language Models (LLMs) explained simply
- Prompt engineering, fine-tuning, and GenAI use cases
- Hands-on with OpenAI, HuggingFace, and APIs
💡 Why Watch: If you’re new to the field, this course is the perfect starting point. It breaks down complex GenAI topics into digestible lessons with real code examples.
🔍 2️⃣ Piyush Garg – How Large Language Models Work
📺 Link: Watch Now
🎓 Instructor: Piyush Garg
🎯 Focus: LLM Internals
🔍 What You’ll Learn:
- Transformer architecture basics (attention, embeddings)
- Tokenization, context windows, and pre-training vs fine-tuning
- Inference pipelines and practical LLM deployment
💡 Why Watch: Want to go deeper into the “brains” behind ChatGPT or Claude? This session helps you understand how modern LLMs are built and optimized.
🧠 3️⃣ Piyush Garg – Agentic Workflow with LangChain
📺 Link: Watch Now
🎓 Instructor: Piyush Garg
🎯 Focus: Agentic Systems
🔍 What You’ll Learn:
- What are agents in GenAI?
- Creating workflows using LangChain agents and tools
- Autonomy, decision-making, tool calling
💡 Why Watch: Learn how to create smart AI agents that can reason, act, and interact with APIs — a hot topic in 2025.
🔗 4️⃣ James Briggs – LangChain Full Walkthrough
📺 Link: Watch Now
🎓 Instructor: James Briggs
🎯 Focus: LangChain in Production
🔍 What You’ll Learn:
- Core LangChain modules: Chains, Agents, Memory
- Prompt templates, tools, and callbacks
- Real-world examples with OpenAI and Pinecone
💡 Why Watch: LangChain is the backbone of many GenAI apps. This course takes you from basic prompts to full-stack apps, step-by-step.
🧠 5️⃣ Dswithbappy – Vector Databases Deep Dive
📺 Link: Watch Now
🎓 Instructor: Dswithbappy
🎯 Focus: Vector Stores & Retrieval
🔍 What You’ll Learn:
- Vector embeddings and semantic similarity
- Using FAISS, ChromaDB, and Pinecone
- Integration with LLMs and LangChain
💡 Why Watch: Vector databases enable smart retrieval from documents. Learn how to make your GenAI app search through custom knowledge.
📚 6️⃣ freeCodeCamp – RAG (Retrieval-Augmented Generation)
📺 Link: Watch Now
🎓 Instructor: FreeCodeCamp
🎯 Focus: RAG Pipelines in Practice
🔍 What You’ll Learn:
- What is RAG and why it matters
- Document ingestion + retrieval + response generation
- Building real RAG apps using LangChain and LLM APIs
💡 Why Watch: RAG is at the core of enterprise-grade GenAI systems. This is your chance to build ChatGPT-like systems that answer from your company’s documents.
🎯 Learning Path: How to Use These Courses Efficiently
| Week | Focus Area | Course |
|---|---|---|
| 1 | GenAI Basics | Ayush Singh |
| 2 | LLM Fundamentals | Piyush Garg – LLM |
| 3 | Agentic Workflows | Piyush Garg – Agents |
| 4 | LangChain Dev | James Briggs |
| 5 | Vector Databases | Dswitbppy |
| 6 | RAG Applications | freeCodeCamp |
🧩 Tools You’ll Learn Along the Way
- LangChain
- OpenAI API
- HuggingFace Transformers
- ChromaDB / FAISS / Pinecone
- Streamlit / Gradio
- Python + Jupyter Notebooks
🌍 Who Is This For?
- Aspiring AI developers
- Full-stack engineers moving into AI apps
- ML engineers wanting to master deployment & infra
- Startup founders and researchers
🧠 Final Thoughts
In 2025, Generative AI is not just hype — it’s a career-defining skill. These 6 free YouTube courses are a powerful learning path to take you from zero to GenAI hero. Invest 6 weeks, build real projects, and you’ll be ahead of 90% of developers out there.