This “Generative AI Full Course” provides a complete guide to building and deploying generative AI applications using cutting-edge tools and frameworks. The course begins with an overview of generative AI concepts, covering models that generate text, images, and other media. Learners explore platforms like Gemini Pro, OpenAI, and Llama, understanding their architectures, APIs, and use cases. The course introduces LangChain for building AI workflows and integrating large language models into applications. Students also learn how to use Pinecone and vector databases to manage embeddings and efficiently query large datasets for AI-driven solutions. Practical projects guide learners through designing, training, and deploying generative AI systems, including chatbots, content generators, and AI assistants. Emphasis is placed on best practices, data management, and prompt engineering to maximize the effectiveness of AI models. By the end of the course, participants gain hands-on experience in generative AI technologies and acquire the skills needed to implement production-ready AI applications. This course is suitable for developers, AI enthusiasts, and professionals aiming to harness the power of generative AI in modern software solutions.