Trustworthy Generative AI: Reliable Workflows and Risk Management

Generative AI offers immense potential, yet many users struggle with inaccurate outputs and unpredictable behavior. To use these tools effectively, you must understand how to frame problems correctly and manage the inherent risks of automated content generation. This course transforms how you interact with AI by providing a framework for reliability and precision. You will learn to distinguish between tasks where AI excels and those where it poses a liability, ensuring your workflows remain robust and professional. What you'll learn: - Understand the core concepts of Generative AI and why hallucinations occur - Evaluate specific use cases to determine if AI is the right tool for the job - Apply prompt engineering strategies that prioritize factual accuracy and logic - Implement modern verification patterns to validate AI-generated information - Understand the basics of Retrieval-Augmented Generation (RAG) concepts for grounding AI in facts - Navigate ethical considerations and bias mitigation in automated workflows The course starts with essential terminology and a deep dive into AI capabilities before guiding you through written exercises focused on risk assessment and reliable prompting. This program is designed for beginners who want to move beyond basic chat interactions toward a more professional, trustworthy approach to AI. Begin your journey toward responsible and accurate AI implementation.