This Generative AI Full Course provides a complete introduction to one of the most advanced and fast-growing areas in artificial intelligence. It is designed for beginners and developers who want to understand how modern AI systems like ChatGPT, Gemini, and Llama are built and used.

The course starts with the fundamentals of generative AI, explaining how large language models (LLMs) generate human-like text, images, and responses. It introduces core concepts such as prompt engineering and how inputs influence AI outputs.

Learners then explore major AI models and platforms, including OpenAI models, Google Gemini Pro, and Meta’s Llama. The course explains how these models differ and where each is used in real-world applications.

A key part of the course focuses on LangChain, a powerful framework used to build AI applications that connect models with external tools and data sources. It also introduces vector databases like Pinecone, explaining how they help store and retrieve information efficiently for AI systems.

In addition, learners gain insight into retrieval-augmented generation (RAG), AI workflows, and building intelligent applications that combine multiple AI tools.

By the end of the course, learners will understand how generative AI systems work and how to build practical AI-powered applications using modern tools and frameworks.