AI products are fundamentally different from traditional software—their probabilistic nature means you can’t predict outputs with certainty, making traditional QA approaches insufficient. In this course, AI product leaders Chantal Cox and Aman Khan guide you through the essential practice of building evaluation systems that create trust and enable successful AI product launches.
Through a conversational, podcast-style format grounded in real-world case studies from companies like LTK and Prime Video, you’ll learn how to design eval strategies, implement scalable pipelines using human and model raters, and translate technical metrics into business impact. Whether you’re evaluating a language generation feature, an AI agent, or a multimodal system, this course offers a complete framework for measuring what matters and making confident launch decisions.
