The most hands-on course on LLMs, RAG, AI Agents, LangGraph, and more. No videos. No fluff. Interactive lessons with code you run.
✓ openai installed✓ langchain installed Loading docs... 42 chunksEmbeddings generated ✓⚡ RAG pipeline ready Each token attends to all othersvia Q, K, V projections.[Source: Module 2, Lesson 6]Technologies you'll master
From absolute basics to production-ready AI systems.
Get everything configured before writing your first line of AI code
The Indian analogies hit different. Finally understood transformers because of the "wedding table" analogy. This is how AI should be taught.
Went from calling APIs to building full RAG pipelines in a week. The LangGraph module alone is worth it.
Used this to prep for GenAI interviews. Got offers from two startups. The evaluation module gave me an edge.
Not a developer but needed AI for product decisions. The n8n module let me build workflows without code. Mind blown.
Built an AI email assistant for a client. Charged ₹50k. Course paid for itself 100x.
The MCP and A2A lessons are incredibly current. My team is implementing these right now.
Stopped paying ₹2L for an AI consultant. Now I prototype with LangGraph and ADK myself.
The chai tapri analogy for LLMs will live in my head rent-free forever.
Developers worldwide are learning to build with LLMs, agents, and RAG. Learn at your pace, build real projects.
13 modules · 149+ lessons · Real projects