This learning path is specially designed for you to go through at your own pace and it will help you onboard on some of the basic functionalities of the Driverless AI, while working on a concrete example along the way.

 

What you'll learn

  • Add your datasets to the Driverless AI platform

  • Create Auto Visualizations

  • Tweak various settings and controls to setup an AutoML Experiment

  • Generate AutoML pipelines and models
  • Generate various artifacts, such as:

    • Auto-documentation

    • Model pipeline

    • Model predictions

    • Interpretability outputs

Course access

 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.