This Generative AI Full Course is a complete, live-recorded training program designed to help learners understand and build modern AI applications using the latest tools and frameworks in the generative AI ecosystem.

The course begins with an introduction to generative AI and explains how large language models (LLMs) generate text and content. It then introduces key APIs and platforms such as OpenAI and their usage in real applications.

A major focus of the course is LangChain, where learners understand how to build AI workflows, memory systems, and intelligent applications powered by LLMs. The course also covers integration with Hugging Face APIs for accessing pre-trained models.

Students will explore vector databases, including Pinecone and ChromaDB, which are essential for building retrieval-augmented generation (RAG) systems and scalable AI search applications.

The course also introduces Meta Llama models and Google Gemini Pro, showing how different LLMs can be used for various generative AI tasks. Learners will build end-to-end projects such as medical chatbots and deployed AI systems.

Advanced sections include memory in LangChain, deployment of AI applications, and building complete generative AI pipelines from scratch. The course also explains how to combine LLMs with vector databases to create powerful AI assistants.

By the end of this course, learners will understand the full generative AI stack, including LLMs, APIs, embeddings, vector databases, and production-ready AI application development.