Code-first AI for production
Learn to build and deploy machine learning, RAG, and AI agent systems through practical, step-by-step projects.
200K+
Learners
IIT Kharagpur
Alumnus
4.8★
Instructor rating
Follow a sequenced roadmap instead of piecing together disconnected tutorials.
A structured, progressive roadmap for developers seeking to master AI agents, covering Python foundations, LangChain, LangGraph, and private multi-agent RAG.
A comprehensive curriculum taking you from zero programming knowledge to professional data manipulation, mathematical visualization, and core ML model building.
Latest from the library
Start with recent code-first guides, or filter the library by the skill you are building.
Build Adaptive RAG in LangGraph that routes each query to a vector store, a SQL employee database, or live web search — with SQLite short-term memory.
Build a ReAct agent in LangGraph that wraps retrieval as a tool, decides when to call it, decomposes comparison questions, and answers SEC filings with citations.
Build a self-correcting CRAG workflow in LangGraph that grades retrieved documents, rewrites weak queries, and falls back to web search before answering.
Meet your instructor
I'm Laxmi Kant Tiwari — IIT Kharagpur alumnus, founder with a successful startup exit, and an engineer with 10+ years across industry and academia. Everything here is taught the way real production systems are built.
Read my storyFull video walkthroughs, free — new tutorials every week.
Connect OpenClaw to Slack - Full Setup Guide (2026)
Set Up a Free RAG System with OpenClaw, Qdrant and RAGWire - Full Tutorial (2026)
OpenClaw Gmail Setup - Full Setup Guide (2026)
Go deeper with complete projects, private repositories, and certificates.
Master Langchain v1, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Complete Integration Guide.
Agentic RAG and Chatbot, AI Agent, DeepSeek, LLAMA 3.2 Agent, FAISS Vector Database.
Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations.
Explore all available curriculum packages with our worldwide student ratings and pre-applied coupons.
What Students Say About Us
“The instructor explained clearly and its examples were easy to implement. I recommend it for introducing yourself into the latest advancements in transformers.”
“This is a nice hands-on video. The contents enhance the knowledge of fine tuning the model. I have also found that the 'theory' parts are very worth to learn.”
“The lecture is well-organized and delivered clearly, and easy to learn.”
