Develop AI Apps with RAG and Gemini API

Want to build intelligent AI applications that can access and understand external information beyond their initial training data? This course will equip you with the foundational knowledge and practical skills to design and implement sophisticated AI applications using Retrieval Augmented Generation (RAG) and the Gemini API. You will move from understanding core concepts to developing your own functional AI tools. What you'll learn: * Understand the foundational principles of Retrieval Augmented Generation (RAG) and its architecture. * Learn to interact with and leverage the capabilities of the Gemini API for various AI model interactions. * Apply RAG techniques to connect large language models with external data sources for enhanced responses. * Practice effective prompt engineering strategies to guide RAG-based AI applications. * Build practical AI applications by integrating RAG workflows with the Gemini API. * Explore methods for simple evaluation and improvement of RAG system outputs. The course begins with foundational AI and RAG concepts, progresses through practical Gemini API integration, and culminates in guided projects for application development. This course is designed for absolute beginners with no prior experience in AI development or using the Gemini API, who are eager to start building intelligent applications. Begin your journey into the world of advanced AI application development today.