Udemy
Generative AI: Practical LLM, LangChain, Hugging Face
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Welcome to the Complete Generative AI, Agentic AI & RAG Bootcamp, a comprehensive hands-on course designed to take you from beginner to advanced AI Engineer.
In this course, you will master the complete modern AI stack including Large Language Models (LLMs), LangChain, Hugging Face, Agentic AI, LangGraph, Retrieval-Augmented Generation (RAG), LangSmith, Vector Databases, and Multi-Agent Systems.
You will begin with the fundamentals of Generative AI and understand how LLMs work. Then, you will learn how to build powerful AI applications using LangChain and Hugging Face models. You'll discover prompt engineering techniques, chains, memory, tools, document loaders, embeddings, and production-ready workflows.
Next, you will dive deep into Agentic AI and learn to build autonomous agents with LangGraph. You will understand state management, memory, event-driven workflows, human-in-the-loop systems, and multi-agent collaboration.
The course also provides a complete guide to Retrieval-Augmented Generation (RAG). You will implement traditional RAG, advanced RAG, hybrid search, contextual retrieval, multimodal RAG, and persistent memory systems. You will work with vector databases such as FAISS, Pinecone, ChromaDB, and Weaviate.
You will also learn LangSmith for debugging, monitoring, tracing, and optimizing AI applications.
Throughout the course, you'll build real-world projects including:
By the end of this course, you'll have the practical skills needed to build, deploy, and optimize modern AI applications and become a proficient AI Engineer.
Whether you are a beginner, software developer, data scientist, ML engineer, or AI enthusiast, this course will provide eve
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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