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    Introduction to Domino

    Course summary: Get a high-level overview of some of the main features in Domino and how they can be applied to solve common problems for data scientists, data science leaders, and the IT teams that support their efforts.

    Duration: 1 hour

    What you’ll learn:

    • Using Domino to speed up the development of your model by accessing the newest tools and more compute power
    • How to develop a model in Domino and create a schedule report
    • Using Domino for collaboration and sharing work
    • How to easily monitor progress and track usage and cost

    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

    Managing Large Data with Domino Datasets

    Course summary: Learn how to use Domino’s high-performance revisioned data store to work with large or numerous files.

    Duration: 1 hour

    What you’ll learn:

    • How to share and access large versioned file-based data (1 TB+) during interactive runs or batch jobs
    • Work with temporary “scratch spaces” for exploratory and iterative work on big data sets
    • Automate a data pipeline using the Domino API to control datasets

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