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    Domino for Practitioners

    Course summary: Learn about the full data science lifecycle within Domino. Learn how to connect to data sources and integrate with git, work with large data, and develop your model in an interactive environment with easy access to the tools you prefer. Then deploy the model using a model API, scheduled reports, and an interactive dashboard. Lastly, learn how to work with Domino programmatically.

    Duration: Half-day

    What you’ll learn:

    • Collaboration, reproducibility, and tracking work in Domino
    • How to create interactive dashboards, model APIs, and self-service web forms in Domino
    • Using Domino datasets to work with large data
    • Git integration and connecting to data sources
    • Setting up environments to get access to the newest tools
    • Using Domino programmatically through the API and command line interface

    Administration in Domino

    Course summary: Learn how to effectively manage both the Kubernetes cluster that runs Domino and the Domino platform to enable your team to do their best work. This course covers optimizing Domino to balance cost savings while ensuring optimal performance for your data scientists. You’ll also pick up tips on troubleshooting, configuration, and managing resources.

    Duration: Half-day

    What you’ll learn:

    • Manage the compute grid cluster and resources
    • Monitor logs and other metrics of performance
    • Set up access and configure Domino
    • Manage cost and data connections
    • Troubleshoot user issues

    *Courses currently offered are for customer organizations and approved by your Domino Administrator. Engage your administrator to enlist your team for training.