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 Playlist on YouTube
Intro to the H2O Cloud AI Developer Services Course
In this playlist, we'll explore how H2O AI Cloud services empower software engineers, data engineers, and AI developers to streamline AI developmen...
H2O.ai Tabular Services
This video marks the beginning of a series introducing our suite of H2O Cloud AI Developer Services.
H2O.ai Language Services
In this video, we'll delve into the landscape of language models and the tools that H2O.ai provides to empower developers and researchers alike.
H2O.ai Vision Services
In this video we delve into the intersection of AI and computer vision. We'll uncover the powerful tools and technologies developed by H2O.ai to re...
H2O AI Code Assistants
H2O.ai provides a diverse array of tools meticulously crafted to enhance your developer experience and facilitate fluid navigation through the Clou...
