This playlist serves as an introduction to H2O Cloud AI Developer Services, designed to support software engineers, data engineers, and AI developers in their endeavors to build, automate, monitor, and share H2O.ai solutions within their organizations.

Join us to unlock the full potential of AI, empowering your team to tackle challenges with confidence, innovate with agility, and achieve transformative results.

 

What you'll learn

  • Tabular Services

Accessibility: Our services are accessible regardless of location, whether on-premises or fully managed.

AutoML with Driverless AI: Simplifies model building through automated processes like data visualization, optimization, customization, and scoring pipeline creation.

Scalability: Our AI engine instances can be scaled to accommodate varying model sizes and types.

Data Connectivity: Users can easily connect and upload data from various sources such as S3 Amazon buckets, H2O Drive, Snowflake, GDBC, or H2O Feature Store.
  

  • Vision Services

Label Genie: Discover how our collaborative annotation tool streamlines data labeling tasks for NLP and computer vision projects using zero-shot generative AI and clustering techniques.

Hydrogen Torch: Explore the advanced computer vision capabilities of our no-code deep learning platform.

Document AI: Uncover the potential of our engine for document classification and extraction, showcasing its versatility and effectiveness.

  • Language Services

Enterprise Use Cases: Explore how Enterprise h2oGPTe bridges research and real-world applications, offering a flexible platform tailored to specific needs.

Customization and Deployment: Dive into customization options and deployment flexibility, enabling users to tailor models to their unique requirements.

Evaluation and Annotation Tools: Learn about H2O Eval Studio and H2O Label Genie, essential for evaluating model performance and annotating data.

Advanced Applications with Hydrogen Torch: Explore Hydrogen Torch's versatility in chaining state-of-the-art GAN networks across various domains.

  • AI Assistants Services

Explore further functionalities, including specialized code assistants, designed to enhance developer experience and facilitate seamless interaction with our Cloud AI Developer Services.

Course access

H2O.ai Certificate H2O.ai Certificate
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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.

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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.