Artificial Intelligence (AI) with H2O Training Course


H2O is an open source predictive analytics platform. It supports R, Python, Scala, Java and REST.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to build machine learning models using algorithms such as GLM, Deep Learning and Random Forests.

By the end of this training, participants will be able to:

  • Install and configure H2O.
  • Create machine learning models using different popular algorithms.
  • Evaluate models based on the type of data and business requirements.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
  • To learn more about H2O, please visit:


  • Programming experience in Python, R, Scala, or Java.


  • Data scientists
  • Data analysts
  • Developers

Course Outline


Setting up H2O

Overview of H2O Features and Architecture

Navigating the H2O WebUI

Preparing the Dataset

Working with Decision Tree Models

Creating a Linear Model

Real-time Data Scoring in H2O

Creating a Random Forest Model

Creating GBMs

Analyzing Hadoop Data

Creating a Deep Learning Model

Creating an Unsupervised Learning Model

Using H2O AutoML to Automate the Model Evaluation Process


Summary and Conclusion

Leave a Reply

Your email address will not be published. Required fields are marked *