Learn how to use H2O Cloud AI Developer Services to build, automate, and share AI solutions for your business needs. This course covers key services across tabular data, language tasks, computer vision, and developer tools.
You’ll explore practical workflows, including AutoML for tabular data, NLP with Hydrogen Torch, data labeling with Label Genie, and using AI assistants for coding tasks.
By the end, you’ll know how to apply H2O Cloud AI Developer Services to real-world AI projects across different domains.
What you'll learn
- Tabular AI Services
Learn to use AutoML for tabular data, handle large datasets, and connect to diverse data sources.
- Language AI Services
Build and deploy NLP solutions using tools like Hydrogen Torch and customize models for enterprise use cases.
- Vision AI Services
Label data with Label Genie, work with document AI, and develop computer vision models.
- AI Assistants for Developers
Boost productivity with AI code suggestions and automations designed for developers.
Course access

