Learn how to use H2O Driverless AI for automated machine learning (AutoML). This course covers the basics of Driverless AI, including setup, data import, interface navigation, and core features.

You will also learn how to preprocess data, build models, interpret results, and apply advanced features like custom recipes and model tuning. This will equip you to streamline your machine learning workflows with H2O Driverless AI.

 

What you'll learn

  • Getting Started with Driverless AI
    Learn how to set up H2O Driverless AI, import data, and navigate the platform interface.
  • Advanced Features
    Use custom recipes and advanced settings to refine models and workflows.
  • Building Models
    Create and tune machine learning models with Driverless AI’s AutoML capabilities.
  • Interpreting Results
    Analyze model performance, interpret results, and generate reports.
  • Data Preparation & Preprocessing
    Understand data handling in Driverless AI, including basic data exploration and feature engineering.
  • Hands-On Practice
    Apply what you learn through practical exercises with real-world datasets.

Course access

Driverless AI Level 2 Certified Driverless AI Level 2 Certified
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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.