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Laxmi Kant

IIT Kharagpur | kgptalkie.com

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Laxmi Kant Courses

Natural Language Processing (NLP) Mastery in Python

$69.99

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Master LangGraph v1 and Ollama - Build Gen AI Agents

$94.99

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Deploy ML Model in Production with FastAPI and Docker

$64.99

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Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents

$99.99

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Deep Learning for Beginners with Python

$59.99

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Introduction to Spacy for Natural Language Processing

$10.99

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MCP Mastery: Build AI Apps with Claude, LangChain and Ollama

$10.99

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Deep Agent - Multi Agent RAG with Gemini and Langchain

$10.99

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Advanced RAG: Build & Deploy Production GenAI Apps

$10.99

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Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3

$10.99

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Most Recent Review

Some useful real life example would have been better than word count and char length :)
- Review by Arun Deo on Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents

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Instructor Bio

Laxmi Kant Tiwari is an IIT Kharagpur graduate and a Senior Data Science & AI Engineer with 10+ years of industry experience across startups and MNCs. He has worked on real-world machine learning, deep learning, LLMs, LangChain, LangGraph, RAG systems, and AI agent workflows, delivering scalable solutions for production environments.

As the co-founder of mBreath Technologies, he built an award-winning wireless health monitoring system that won Eureka 2016 at IIT Bombay, showcasing his ability to turn complex AI ideas into real, market-ready products.

Through KGP Talkie, his global teaching platform, Laxmi has trained 100,000+ students worldwide in Python, Machine Learning, Deep Learning, and now cutting-edge Generative AI technologies like LangChain, Ollama, GPT-OSS, Qwen3, Gemma3, and Transformer fine-tuning. Many of his courses have become Best Sellers on Udemy due to their clarity, simplicity, and strong real-world focus.

With hands-on experience across 100+ AI/ML projects and teaching experience at IIT, Laxmi combines academic depth with practical engineering skills. His goal is to help students move from basic theory to building real production-level AI systems, including RAG pipelines, intelligent agents, memory systems, and multimodal AI tools.