Video by H2O.ai via YouTube
Where to get help with H2O.ai Managed Cloud, and where to go next to build on what you have learned.
This closing lesson wraps up the getting started series. You have seen how the platform brings predictive AI, generative AI, and MLOps into one environment, how to access your instance, how to navigate the interface, and how administrators manage users, resources, and governance.
From here, the next step is yours: explore the platform, launch your first application, and build your first model.
Covered in this video:
The Support button in the bottom right of the platform, for tickets and diagnostic logs
Reaching the team at support@h2o.ai
Product documentation and release notes at docs.h2o.ai
H2O.ai University learning paths, product courses, certifications, and tutorials covering H2O Driverless AI, Enterprise h2oGPTe, AI agents, LLMs, H2O Hydrogen Torch, and H2O MLOps
LINKS
H2O.ai University: https://h2o.ai/university
Documentation: https://docs.h2o.ai
Request access or a demo: https://h2o.ai/demo
Support: support@h2o.ai
ABOUT H2O.ai
H2O.ai builds the platform enterprises use to develop, deploy, and operate AI on their own private data, across predictive machine learning and generative AI.
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