Welcome to Building Multimodal AI with RAG & Context Engineering course. This is a comprehensive project based course where you will learn how to create and design a multimodal AI system that is capable of processing different types of inputs such as text, images, and audio files. This course is a perfect combination between Python and multimodal AI, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in artificial intelligence development.
In the introduction session, you will learn the basic fundamentals of multimodal AI, such as getting to know how it works, how Retrieval Augmented Generation is used to provide multimodal AI systems with access to relevant knowledge and information beyond their training data, and how context engineering is needed to organize and structure information before it is provided to a multimodal AI system.
Then, in the next section, you will learn how to connect your system with large language model API using OpenRouter, Mistral AI API, and Google AI Studio, specifically, you will learn how to create API key and integrate API key, enabling your system to interact with AI and generate responses, summaries, insights, recommendations, and other intelligent outputs based on user inputs.
