The H2O Wave Starter Course is meticulously designed for developers and AI enthusiasts eager to dive into H2O Wave, an open-source platform that simplifies the creation of browser-based AI applications using Python. Led by Sukanya Joshi, a Data Scientist at H2O.ai, this course offers a perfect blend of theory and hands-on practice.

 

What you'll learn

  • H2O Wave Fundamentals
    Under and master the core concepts and architecture of H2O Wave.

  • Python-Based AI Application Development
    Build and deploy interactive AI applications using Python and H2O Wave.

  • Advanced AI Integration
    Integrate advanced features like H2O GPTe into your applications for enhanced functionality.
  • Interactive UI Creation
    Develop dynamic and responsive user interfaces without extensive web development knowledge.

  • H2O AI Cloud Deployment
    Learn to deploy your AI apps to H2O AI Cloud. 

  • Real-World Application Showcase
    Gain hands-on experience with practical examples and best practices in AI app development.

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Course Playlist on YouTube

Course Overview | H2O Wave Starter Course.
Course Overview | H2O Wave Starter Course.

Join Sukanya Joshi, Data Scientist at H2O.ai, as she guides you through creating your own Generative AI application using H2O Wave.

Intro to Building Generative AI Apps | H2O Wave
Intro to Building Generative AI Apps | H2O Wave

Discover H2O Wave, an open-source platform for creating browser-based AI applications and dashboards using Python.

Setting Up Your Development Environment | H2O Wave
Setting Up Your Development Environment | H2O Wave

Learn how to create a virtual environment, install the H2O Wave package, and configure your IDE with the H2O Wave extension for streamlined app dev...

Building Your First Interactive App | H2O Wave
Building Your First Interactive App | H2O Wave

This video guides you through creating your first interactive Wave app with step-by-step instructions.

Deploying Apps to H2O AI Cloud | H2O Wave
Deploying Apps to H2O AI Cloud | H2O Wave

In this video, Michelle Tanco walks you through the step-by-step process of deploying your Wave app to the H2O AI Cloud. You will learn how to prep...

Showcasing Practical Applications | H2O Wave
Showcasing Practical Applications | H2O Wave

We will explore some advanced features of H2O Wave through a practical application showcase.

Course Wrap-Up & Gen AI App Store Exploration | H2O Wave
Course Wrap-Up & Gen AI App Store Exploration | H2O Wave

Congratulations on completing the Wave Starter Course! This video recaps the key takeaways and introduces you to the H2O Wave community and resourc...

 

Quiz Me if You Can!

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Sukanya Joshi, Data Scientist

Sukanya Joshi is a Data Scientist at H2O.ai, where she builds, manages, and deploys cutting-edge generative and predictive AI solutions across various data science domains. She earned her Master’s in Data Science from the University of Pennsylvania (UPenn) and is a published researcher in the fields of machine learning and data science. Sukanya was also a featured speaker at the Women in Data Science Conference and received the Outstanding Research Award at UPenn for her impactful research at the crossroads of data science, healthcare, and psychology. In her personal life, Sukanya holds a black-belt in karate, enjoys solving crossword & sudoku puzzles, and loves spending time with her mini-goldendoodle!

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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.