KV Cache Memory Math: How Much VRAM Does Your Context Really Cost
Calculate KV-cache memory from layers, heads, head size, tokens, data type, and batch size.
Code-first AI for production
Learn to build and deploy machine learning, RAG, and AI agent systems through practical, step-by-step projects.
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IIT KGPIIT Kharagpur
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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.
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Calculate KV-cache memory from layers, heads, head size, tokens, data type, and batch size.
12 margin and growth questions on Amazon and Alphabet 10-K tables with Qwen 3.8: a bare number vs step-by-step vs thinking mode, with accuracy, tokens and time.
Join Scikit-LLM embeddings with a local classifier and trace what each step learns.

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.
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AnythingLLM: Chat with Your PDFs Offline with Ollama (Free, No Account)
Swiggy Zomato System Design: 10x Orders at 8 PM
AI Agent Platforms Explained: Which One to Use? Copilot, Agentforce, Foundry, AgentCore
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ChatGPT, Claude, free AI tools, local AI and coding agents, explained in plain words inside the real tools. No coding and no maths.
Build fast, low-cost AI decisions with Jev, Laya and System One models: Choice, Score, confidence and calibration.
Master Langchain v1, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Complete Integration Guide.
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Student Reviews
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4.8
Instructor rating
200,000+ students learning on Udemy and YouTube.
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.
This is the only course which finally teaches how to fine-tune your own LLM.
Great content, comprehensive code documentation, flow and topic selection. Laxmi provides a good learning experience.
The course is very excellent especially to start learning llms.
This was a great course. I picked up a lot of new things, and the instruction was excellent. I'm really glad I enrolled.
Really good course
This course is well structured, every session is easy to digest and very well explained. Kudos to the lecturer and team.
the course has been designed in a well structured way from bert model to advanced lora qlora techniques and easy to understand the concept
The instructor explains in a very organised way which gives us an idea what are the fundamentals that are required.
This is the one of the best course in this platform to automate the blender with Claude!!!!!
ótimo curso para iniciar em contruções de agentes!