This comprehensive Generative AI full course is designed to take learners from foundational concepts to advanced real-world AI system development. It covers the entire modern AI ecosystem, including large language models (LLMs), development frameworks, and vector database technologies used in production-grade AI applications.

The course begins with an introduction to Generative AI and how models like OpenAI GPT, Google Gemini Pro, and Meta Llama work. Learners will understand how these models generate text, reason over information, and power modern AI applications such as chatbots, assistants, and automation systems.

Next, the course explores LangChain, a powerful framework for building AI applications by connecting LLMs with external tools, APIs, and data sources. Students will also learn how vector databases like Pinecone enable long-term memory and semantic search by storing embeddings and retrieving relevant information efficiently.

In addition, the course explains how all these technologies work together to build end-to-end AI systems, including retrieval-augmented generation (RAG), AI agents, and scalable production workflows.

By the end of this course, learners will have a strong practical understanding of the full Generative AI stack and be able to design and build real-worl