H2O Cloud AI Developer Services

Udemy Course Rating:4.5★★★★★★★★★★

Predictive AI
Generative AI
H2O Driverless AI
Enterprise h2oGPTe
H2O Cascade
H2O Feature Store

Last updated 06/2025
English
Beginner
42m · 5 lessons

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About this course

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

Skills you will take away

Tabular AI Services

Learn to use AutoML for tabular data, handle large datasets, and connect to diverse data sources.

Vision AI Services

Label data with Label Genie, work with document AI, and develop computer vision models.

Language AI Services

Build and deploy NLP solutions using tools like Hydrogen Torch and customize models for enterprise use cases.

AI Assistants for Developers

Boost productivity with AI code suggestions and automations designed for developers.

Course playlist on YouTube

5 lessons, start to finish

Pick a lesson to play it here. Watch in order, then take the quiz.

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In this playlist, we'll explore how H2O AI Cloud services empower software engineers, data engineers, and AI developers to streamline AI development within their organizations. From tabular to language and vision services, we'll delve into the offerings tailored for flexibility and accessibility, whether it's hosted on-premises or as a fully managed solution by H2O. Let's dive in and discover the tools that can revolutionize your AI development journey.

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Resources

Additional course resources and access links

Access Course SlidesVia GitHub Repository Watch the CourseVia YouTube45 mins For all LearnersGet Certified via Udemy1 hour For all LearnersGet Certified via Coursera1 hour

Your instructors

Taught by the people who build and deploy it

Audrey Létévé
Principal Customer Data Scientist
Principal Data Scientist at H2O.ai, specializing in leading complex Machine Learning projects from ideation to production, with a keen interest in Model Ops and a strong background in statistics.Her expertise covers a broad range of industries such as insurance, energy, and services, enabling her to communicate effectively with both technical and non-technical stakeholders.Holding a Master of Science in Mathematics and Statistics from Université Aix-Marseille II, Audrey has a proven track record of enhancing business strategies and objectives through data analysis and model development across various data science roles.
Jon Farland
Jon Farland is the Director of the H2O.ai Solutions Engineering team. He has spent the better part of the last decade building analytical solutions at the intersection of technology, finance and energy. He has used H2O extensively to develop high performing models, communicate findings across stakeholders and to lead ROI growth from data science initiatives.