Learn about Windows Server and Hyper-V containers, associated isolation modes, running containers, and preparing the Windows Server host for running containerized workloads. Learn about Docker, preparing Windows Server for running container workloads, and managing containers.

Examines how to plan for cutover and staged migrations, reviews each migration approach, and examines the requirements, planning activities, and migration process for each method.

Learn how to run containerized apps using Docker containers with Azure Container Instances (ACI).

Run Selenium UI tests, a form of functional testing, in Azure Pipelines.

Azure HPC is a purpose-built cloud capability for HPC & AI workload, using leading-edge processors and HPC-class InfiniBand interconnect, to deliver the best application performance, scalability, and value. Azure HPC enables users to unlock innovation, productivity, and business agility, through a highly available range of HPC & AI technologies that can be dynamically allocated as your business and technical needs change. This learning path is a series of modules that help you get started on Azure HPC - you can choose topics you are most interested in or progress through each of them one by one.

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.