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:
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:
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:
Course summary: Learn how team leaders can create an organization in Domino to effectively manage their team’s access to the tools they need, speed up progress, and establish a workflow for production.
Duration: 30 minutes
What you’ll learn:
*Courses currently offered are for customer organizations and approved by your Domino Administrator. Engage your administrator to enlist your team for training.