Course Intro: The Full AI Lifecycle on H2O

This lesson introduces a course that gives a quick end to end view of how the H2O platform supports the full data science and machine learning lifecycle, from raw data through production. It previews the stages the course will walk through: data profiling and feature engineering, automated machine learning and explainability, and deploying models into production with monitoring and lifecycle management. It also previews how predictive modeling connects with generative AI capabilities and agent driven workflows, all within one platform environment that shares governance, security controls, and enterprise management across every stage.