Generative AI & AI Agents: ChatGPT, LangChain, RAG, LLMs

About this course

Master Generative AI, LLMs, RAG, LangChain & AI Agents — From Beginner to Real-World AI Applications

Generative AI is transforming how we build software, automate workflows, create content, analyze information, and interact with technology. This course is a practical, beginner-friendly guide to Generative AI, ChatGPT, Large Language Models (LLMs), OpenAI API, LangChain, LangGraph, RAG, AI Agents, Hugging Face, Vector Databases, and Prompt Engineering.

Whether you're a complete beginner, non-coder, developer, freelancer, entrepreneur, or AI enthusiast, this course will help you understand modern Generative AI and learn how to build practical AI-powered applications.

You’ll start with the fundamentals—learning how Generative AI and LLMs work without complicated mathematics or unnecessary jargon. You'll explore ChatGPT, prompting techniques, tokens, transformers, inference, context, and the differences between APIs and open-source models.

From there, you'll move into hands-on AI development using the OpenAI API. You'll learn how to connect applications with LLMs and build intelligent assistants, chatbots, text-processing applications, and AI-powered workflows.

Build AI Applications with LangChain & LangGraph

You'll learn how LangChain helps developers connect LLMs with prompts, tools, memory, external data, APIs, and retrieval systems.

You'll also explore AI Agents and Agentic AI, including tool calling, ReAct-style agents, multi-step workflows, and LangGraph for building more advanced and stateful AI applications.

Master RAG, Embeddings & Vector Databases

Learn one of the most important techniques in modern Generative AI: Retrieval-Augmented Generation (RAG).

You'll understand how AI applications can retrieve information from external knowledge sources and u

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