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.
Learn how to implement thread-based conversation memory with MemorySaver checkpointer and stream graph outputs in LangGraph with local Ollama models.
Learn how to implement conditional routing in LangGraph. Use Pydantic to structure LLM outputs and route execution dynamically based on sentiment analysis.
Pause agent execution for human approval using interrupt(), resume with the Command API, and protect users with a regex PII guardrail node.
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.
Set Up a Free RAG System with OpenClaw, Qdrant and RAGWire - Full Tutorial (2026)
OpenClaw Gmail Setup - Full Setup Guide (2026)
Free OpenClaw Setup & Install - No GPU, No API Cost (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.”
