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 KGPIIT Kharagpur
Alumnus
4.8★
Instructor rating
This is the only course which finally teaches how to fine-tune your own LLM.
Nicely explain different transformers and models with example notebooks.
the course has been designed in a well structured way from bert model to advanced lora qlora techniques and easy to understand the concept
This Udemy course delivered a structured learning path with clear, up-to-date resources and practical code examples.
The instructor explains in a very organised way which gives us an idea what are the fundamentals that are required.
This was a great course. I picked up a lot of new things, and the instruction was excellent. I'm really glad I enrolled.
As someone who struggled with Blender for months, this course finally made things click for me. The teaching style is simple, clear, and very engaging.
Really good course
This course is well structured, every session is easy to digest and very well explained. Kudos to the lecturer and team.
Great content, comprehensive code documentation, flow and topic selection. Laxmi provides a good learning experience.
I really like this course. It explains AI step by step in a simple and clear way. This should be the first course anyone takes to truly understand AI.
The course is very excellent especially to start learning llms.
This was a comprehensive and enjoyable course with some great projects at the end that helped reinforce the main concepts.
This is the one of the best course in this platform to automate the blender with Claude!!!!!
I have learned a lot in this course, thank you
ótimo curso para iniciar em contruções de agentes!
Reviews from 200,000+ students on Udemy and YouTube
Guided Roadmaps
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.
We drew three 16-panel physics comics for kids with Ming-Image-0.1-Design and Qwen-Image 2.1 on one RTX 5090, and measured speed, first-try panels and lettering.
We fit inclusionAI's 46 GB design model onto one 32 GB RTX 5090 by converting it to FP8 ourselves, then made 16 designs, four comics and seven photo edits at about 8 seconds per image.
We ran the 421M Laya decision model against two LLMs of about the same size, Qwen3.5 0.8B and Qwen2.5 0.5B, on five labeling tasks on a MacBook Pro M5 Max. Laya was about twice as accurate on tickets, complaints, and intents, and faster on every task but one.
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 storyFree Video Tutorials
Full video walkthroughs, free: new tutorials every week.
Claude Is Helping Build the Next Claude
Qwen Image 2.1 Low VRAM Test: 4-bit Runs Under 16 GB of RAM
Qwen 3.8 27B in Just 6 GB- How Ternary Bonsai 2 Works
In-Depth Courses
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.
