This course introduces the core tools in the H2O.ai GenAI ecosystem. Learn how to build and fine-tune LLMs using h2oGPT and LLM Studio, evaluate models with EvalGPT, and create simple AI-powered apps using GenAI AppStudio's sketch2app and prompt2app.

Suitable for beginners and anyone interested in practical GenAI development.

 

What you'll learn

  • Build and Optimize Large Language Models 
    Create and fine-tune your own GPT models using h2oGPT, LLM Studio, and LLM DataStudio.
  • Develop AI-Powered Web Applications
    Use GenAI AppStudio to build and deploy custom AI applications using sketch2app and prompt2app.
  • Retrieve Information Efficiently with Enterprise h2oGPTe
    Learn to extract meaningful insights from real-world data using advanced information retrieval techniques.
  • Evaluate Model Performance
    Assess and improve model accuracy with H2O LLM EvalGPT.
H2O.ai Certificate H2O.ai Certificate

Course Playlist on YouTube

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Additional Course Resources & Access Links

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Shivam Bansal, Director, Field Technology

Shivam is the 3x Kaggle Grandmaster, 5 times winner of Kaggle’s Analytics / Data Science for Good Competition, and the winner of several other offline and online competitions. He holds a master's degree from the National University of Singapore and was a Valedictorian. He has extensive cross-industry and hands-on experience in building data science products and applications. He brings a strong blend of technical and business skills with a practical and solution-driven approach. He supports various functions within the company which include - engineering, pre-sales, and customer success. His LinkedIn profile can be found here.

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Piraveen Sivakumar, Machine Learning Engineer

Piraveen Sivakumar is a passionate machine learning engineer at H2O.ai, leveraging expertise in Computer Science and Engineering from the University of Moratuwa, Sri Lanka, to drive innovation in H2O.ai’s Driverless AI and data science products and applications.

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Andreea Turcu, Head of Global Training

Andreea is a data scientist with over 7 years of experience in demystifying AI and Data Science concepts for anyone keen on working in this exciting field using cutting-edge technology. Having obtained a Master’s Degree in Quantitative Economics and Econometrics from Lumière Lyon 2 University, she enjoys integrating machine learning principles with real-world applications. Andreea’s passion lies in developing engaging training programs and ensuring an optimal customer education journey. As she frequently likes to remark, “AI is essentially Economics turbocharged by data, with a sprinkle of innovation.”

You can view her LinkedIn profile HERE.