H2O Generative AI Ecosystem Fundamentals

The landscape of Generative AI is rapidly evolving, making it essential to understand the underlying ecosystems that power these intelligent applications. This course provides a clear roadmap to understanding Generative AI platforms, enabling you to confidently navigate their complexities and leverage their capabilities. You will learn to: * Understand the foundational concepts of Generative AI, including various model types and their applications. * Learn the key architectural components and data flows within a modern GenAI ecosystem. * Explore effective methods for interacting with GenAI models through prompt engineering techniques. * Apply strategies for integrating external knowledge sources using Retrieval-Augmented Generation (RAG) patterns. * Analyze the lifecycle of GenAI models, from initial deployment to ongoing maintenance and improvement. * Practice evaluating GenAI outputs and implementing responsible AI considerations within an ecosystem context. Beginning with core definitions and model types, the course progresses through ecosystem architecture, practical interaction methods, and considerations for responsible deployment, all explained through clear, written explanations and code snippets. This course is designed for absolute beginners with no prior experience in Generative AI or specific platform knowledge, providing all necessary foundational context. Start your journey into the world of Generative AI ecosystems today.