Learn the platform enterprises actually run on. Structured courses on h2oGPTe, Driverless AI, and agentic workflows. Practice in real environments and validate your skills with certification.
What you will build, how the labs run, and how certification is scored.
Each track is an ordered set of courses. Start anywhere, but the sequence is designed to build on itself.
All coursesValidate practical AI skills
Companies need professionals who can prove they can implement AI and get value from their data. Score 70% or higher on a certification quiz and stand out as a proficient practitioner.
Beginner · 1h 31m
The AI Fundamentals Glossary explains more than 90 AI terms in plain language, across 35 short videos of around two minutes each, grouped by topic so you can watch in order or jump to the one you need before a call. You will cover the foundations first, including machine learning, neural networks and transformers, then predictive AI, generative AI and LLMs, RAG and prompt engineering, and how AI agents and orchestration fit together. The later videos deal with MLOps, monitoring, drift and governance, the deployment choices that decide who controls the data, and the compliance frameworks across four regions.
View courseBeginner · 22m
This course introduces H2O.ai Managed Cloud, a fully managed, isolated AI environment where data preparation, model development, and deployment all run in one place, with the infrastructure handled for you. You will learn about what you can build across predictive AI and generative AI, how to activate your account through an External Okta account, and how to find your way around the platform from your first login. In addition, you will learn and see where H2O MLOps, Enterprise h2oGPTe, and H2O Document AI sit inside your environment, and get an administrator's view of users, AI Unit reporting, and platform-wide access.
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