AI Evals

This AI product management course focuses on evaluating AI systems using structured evaluation frameworks, metrics, and testing pipelines. It covers how to define quality, measure performance, and build evaluation suites that capture real-world failure modes. The material applies in real product work such as validating models before launch, setting deployment gates, and monitoring production systems for drift, bias, and reliability issues. It also addresses tradeoffs between automated and human evaluation, and how to iterate on models based on measurable outcomes. Best suited for PMs, ML product managers, and teams responsible for quality and validation of AI systems in production.