This Generative AI full course is designed to give learners a complete, hands-on understanding of how modern AI systems are built and deployed using today’s most important tools and frameworks. You’ll explore how large language models work, how prompts influence outputs, and how developers connect AI models to real applications.

The course introduces powerful ecosystems including Gemini Pro from Google, generative models from OpenAI, and LLaMA models developed by Meta. Learners also gain practical experience orchestrating AI workflows with LangChain and implementing memory systems using vector databases such as Pinecone.

Rather than focusing only on theory, the training emphasizes real-world architecture — embeddings, retrieval-augmented generation, chaining models, and scalable AI pipelines. Each module builds confidence in integrating AI services into apps, chatbots, and intelligent systems.

By the end of the course, learners understand the full generative AI stack — from models and prompts to vector search — enabling them to prototype modern AI solutions. This makes the course ideal for beginners, developers, and tech professionals entering the fast