Reduce Azure Virtual Desktop deployment costs by scaling virtual machines (VMs). This means shutting down and deallocating session host VMs during off-peak usage hours, then turning them back on and reallocating them during peak hours.

Learn techniques for automating data pipelines for faster data processing.

This course will teach you how to create, fine-tune, and secure stored procedures.

Scripting repetitive tasks in Azure SQL for regular maintenance jobs and multi-instance administration. Automation of error and resource alerts. Configuration of notifications for failures.

Explore multiple deployment models available on Azure. Use Azure Resource Manager (ARM) templates and Bicep files for deploying Azure SQL resources. Understand how to use PowerShell and Azure CLI for automation purposes.

After this module, you'll be able to run automated deployments of SAP on Azure infrastructure.

Create a basic GitHub Action and use that action in a workflow.

Optimize the value of GitHub Apps and features to manage users in your workflow to help speed up your processes while maintaining efficiency, security, and reliability.

Use Azure Pipelines to deploy Docker containers to Azure App Service.

Learn to interact with the GitHub API from GitHub Actions by using GitHub Script.

This module describes how to automate the inspection of health events, configure notifications in Azure DevOps and GitHub, set up service hooks to monitor pipelines, measure the quality of your release process, and detail release gates for quality purposes. You examine release management tools and details about them.

This course will teach you how you can build and train regression, classification, and forecasting models using Databricks AutoML. AutoML automates data preparation and model training thus allowing you to build models with little to no code.