Generative AI and Multi-Agent Systems Fundamentals

The landscape of artificial intelligence is rapidly evolving, with Generative AI and Multi-Agent Systems at the forefront of innovation. This course provides a comprehensive, text-based introduction, equipping you with the core understanding and practical insights to build and deploy intelligent applications that leverage these advanced AI paradigms. What you'll learn: * Understand the fundamental principles of Generative AI and its diverse applications. * Explore various Generative AI models, including large language models (LLMs) and their architectures. * Apply prompt engineering techniques to guide Generative AI models for specific tasks. * Learn the core concepts of Multi-Agent Systems, including agent types and interaction patterns. * Design basic agent architectures and define communication protocols for multi-agent collaboration. * Implement foundational patterns like Retrieval-Augmented Generation (RAG) for enhanced GenAI capabilities. * Practice developing simple agentic workflows for coordinated problem-solving. Beginning with foundational definitions and key terminology, the course progressively introduces you to practical applications through detailed explanations and code snippets. You will read through conceptual frameworks and then apply them through guided exercises. This course is designed for beginners with no prior experience in Generative AI or Multi-Agent Systems, seeking to build a strong theoretical and practical foundation in these fields. Start your journey into the exciting world of advanced AI today.