This beginner-friendly course introduces you to H2O Hydrogen Torch, a no-code platform designed for building deep learning models in areas like image classification, text analysis, and audio processing. Learn how to navigate the interface, run experiments, and apply best practices drawn from real-world use cases. 

 

What you'll learn

  • No-Code Deep Learning
    Understand deep learning fundamentals through a visual, no-code interface using H2O Hydrogen Torch.
  • Experiment Flow Navigation
    Learn the full experiment lifecycle—from data import to observing results.
  • Multi-Modal Problem Support
    Explore how to build models across text, images, 3D images, and video data.
  • Model Tuning Techniques
    Apply grid search and adjust hyperparameters for better model performance.
  • Platform Onboarding & Setup
    Get familiar with platform setup, key features, and launching your first experiment.
  • Hands-On Learning & Certification
    Engage in interactive assignments and earn certification upon course completion.

Course access

H2O.ai Certificate H2O.ai Certificate
headshot

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.