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

Mastering local AI orchestration is becoming a critical skill for modern developers, and this comprehensive course by Laxmi Kant (KGP Talkie) provides the exact blueprint needed to succeed. Focused on LangChain v1 and Ollama, the training guides you through running powerful open-source LLMs—like DeepSeek R1, LLaMA, and Gemma—entirely on your local machine. Students appreciate the deep dive into LangChain Expression Language (LCEL), which simplifies creating complex runnable pipelines, prompt templates, and structured JSON output parsers. The course shines in its practical, hands-on approach, teaching you how to build highly functional conversational chatbots with persistent memory, optimized Retrieval-Augmented Generation (RAG) pipelines, and autonomous AI agents capable of tool calling. Beyond the basics, you will work on highly relevant real-world projects, including a sophisticated Text-to-SQL agent for MySQL databases, automated LinkedIn scrapers, and resume parsing pipelines. Finally, the curriculum bridges the gap between local development and production by walking through AWS EC2 deployment strategies. Whether you are an aspiring AI engineer or an experienced developer looking to transition to local LLM infrastructure, this course offers the practical skills needed to build secure, cost-effective, and robust AI applications.