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.
A complete, hands-on walkthrough for building a free customer support AI agent with open-source Hexabot and a free OpenRouter model, deploying it on Railway with Postgres, grounding it in your own content with RAG, and embedding the live-chat widget on your live website.
Deploy a production-ready LangChain DeepAgent financial research system utilizing sandboxed filesystem backends, LangGraph CLI servers, and a custom UI frontend.
Implement a hierarchical multi-agent research team coordinating Orchestrator, Researcher, and Editor agents on a real filesystem using LangGraph.
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.
Build & Deploy a Free AI Chatbot on Your Website (Customer Support Agent)
Connect Hermes Agent to Telegram: Control Your AI Agent From Your Phone (2026)
Sales Lead Generation Automation with Hermes Agent
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.”
