This course explores H2O.ai's suite of cutting-edge tools, such as Driverless AI, H2O Actions, the Wave App, Gen AI AppStore, LLM DataStudio, H2O LLMStudio, Enterprise GPTe, h2oGPT, and Eval Studio.

Empower yourself to streamline data science workflows with:

  • Seamless data preparation and visualization
  • Automated machine learning
  • Model deployment
  • Advanced generative AI capabilities

Join us as we delve into how H2O.ai is transforming data preparation, model building, and deployment for data scientists and businesses across all levels.

 

Course Content

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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.