Learn how to build and deploy AI solutions with H2O.ai’s suite of tools. This course introduces you to key platforms like Driverless AI, H2O Actions, Wave App, GenAI AppStore, LLM DataStudio, H2O LLMStudio, Enterprise GPTe, h2oGPT, and Eval Studio.

You will also gain hands-on experience preparing and visualizing data, automating machine learning workflows, deploying models, and applying generative AI capabilities for advanced tasks such as text generation and translation.

By the end, you’ll be able to navigate H2O.ai’s platforms and apply AI solutions across various industries and use cases.

 

What you'll learn

  • Data Preparation and Visualization
    Learn how to clean, transform, and explore data using H2O’s intuitive tools for efficient analysis.
  • Automated Machine Learning with Driverless AI
    Use Driverless AI to build, tune, and interpret machine learning models in a streamlined workflow.
  • Model Deployment for Business Impact
    Deploy AI models into production environments to drive actionable outcomes.
  • Generative AI Applications
     Leverage tools like h2oGPT and Enterprise GPTe for text generation, summarization, and language translation tasks.

Course access

H2O.ai Certificate H2O.ai Certificate
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Michelle Tanco, Head of Product

As the Head of Product at H2O.ai, Michelle Tanco’s primary focus lies in delivering a seamless user experience across machine learning applications. With a strong dedication to math and computer science, she is enthusiastic about leveraging these disciplines to address real-world challenges. Before joining H2O, she served as a Senior Data Science Consultant at Teradata, working on high-impact analytics projects to tackle business issues across various industries. Michelle holds a B.A. in Mathematics and Computer Science from Ursinus College. In her downtime, she enjoys spending quality time with her family and expressing her creativity by playing the bass and ukulele.

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Jon Farland, Director of Solutions Eng.

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.