Examines the requirements for running an IMAP migration, the migration options that are available, and the steps that are completed during a migration.

Use the Azure Machine Learning CLI (v2) to train models as jobs. Train a model using a basic Python script, or perform hyperparameter tuning with a sweep job.

Examines how to plan for and run an IMAP migration, how to plan for a cross-tenant migration, and how to prepare source user objects for migration.

Run automated load tests by using Apache JMeter, a form of nonfunctional testing, in Azure Pipelines.

Azure Batch is an Azure service that enables you to run large-scale parallel and high-performance computing (HPC) applications efficiently in the cloud. There's no need to manage or configure infrastructure. Just schedule the job, allocate the resources you need, and let Batch take care of the rest.

Learn how HBase provides random access and strong consistency for large amounts of unstructured and semi structured data in a schema less database organized by column families.

Learn how to create and use components to build pipeline in Azure Machine Learning. Run and schedule Azure Machine Learning pipelines to automate machine learning workflows.

Set up automated testing in your pipeline to improve code quality.

Learn to run Selenium Java tests in Azure DevOps, focusing on continuous integration and testing best practices.

Discover how to run Selenium tests in Azure DevOps for automated web application testing, focusing on CI/CD integration and test management.

Join this session to see a live demo of how you can split your application’s services across clouds with Anthos and still maintain central visibility, observability and management in one spot.

This course will teach you how to scale beyond Agile Release Trains into Large Solution Trains where you work on the most comprehensive and complex technical products.