AWS Generative AI Safety: Grounding and Governance

Generative AI offers incredible potential, but its tendency to 'hallucinate' can undermine trust and utility. This course will equip you with the foundational knowledge and practical approaches to significantly reduce AI hallucinations, enabling you to deploy more accurate and dependable generative AI solutions. What you'll learn: * Understand the causes, types, and implications of generative AI hallucinations. * Implement grounding techniques using external data sources and effective prompt engineering strategies to improve AI accuracy. * Apply governance frameworks, including basic responsible AI principles and validation strategies, for ethical and reliable AI development. * Configure AWS services to support robust grounding and governance workflows for generative AI. * Practice evaluating and refining generative AI outputs to enhance their trustworthiness and reliability. The course begins with core concepts of generative AI and hallucination, then progresses to practical methods for data grounding, responsible AI governance, and validation techniques. You will explore how to integrate these strategies using AWS services to build more trustworthy AI applications. This course is designed for absolute beginners interested in generative AI, with no prior experience in AI or AWS required. Start building safer and more reliable generative AI applications today.