What you'll learn

Skills you'll gain

There are 8 modules in this course

You’ll learn the basics of H2O Driverless AI, including setup, data import, and interface navigation. The course offers hands-on experience in data preprocessing, visualization, and analysis, preparing you for machine learning model development. The course covers advanced topics like correlation graphs, prediction creation, and model performance optimization. You’ll learn to hyper-tune models, manage experiments, interpret results, and generate reports. Practical tasks are included for real-world practice. Upon completion, you’ll not only be proficient in using H2O Driverless AI for AutoML but also gain skills in setting up environments, analyzing data, and utilizing advanced features like custom recipe creation and model fine-tuning. This course goes beyond theory, offering practical skills that can be applied in the real world. Additionally, you’ll be eligible for the H2O Driverless AI Certification. This certification is a testament to your proficiency and can significantly enhance your career prospects in the fields of AI and data science. Enroll now to master automated machine learning with H2O Driverless AI.

Getting Started with Driverless AI

Data Management and Exploration

Data Preparation and Prediction

Experiment Analysis and Interpretation

Advanced Analysis

Course Wrap-up

Course Completion Quiz

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