DevOps principles, benefits, and related practices
  The Three Ways: flow, feedback, and learning
  Technical excellence at scale
  Working as a team in an Azure DevOps environment
  Increasing flow through a technical value stream
  Practices and mindset of a Professional Scrum Team
  Scaled Professional Scrum (Nexus) framework
  Identifying and eliminating dependencies
  Minimizing dependencies through feature teams
  Configuring Azure DevOps for product development
  Planning work at scale: epics, features, user stories
  Product Backlog Refinement benefits and practices
  Creating a definition of “Ready”
  Types of dependencies and the related risks
  Cross-team refinement to mitigate dependencies
  Working in small batches and limiting WIP
  Using Azure Boards to plan and execute a Sprint
  Creating and abiding-by a definition of “Done”
  Reporting data via queries, charts, and widgets
  Installing and using the Analytics extension and widgets
  Using dashboards as information radiators
  Collaborating as a cross-functional team
  The collective ownership mindset
  Git version control primer and workflows
  Branching strategies and potential side effects
  Visualizing and managing code dependencies
  Adopting an internal open source model
  Creating fast feedback loops
  Automated testing in Visual Studio and Azure Pipelines
  Writing and running unit tests in Visual Studio

Creating and managing Azure Pipeline builds
 Installing and configuring Azure Pipeline agents
Queuing and monitoring automated builds
 Running automated tests as part of a build
Collecting code coverage information
Using Test Impact Analysis to improve performance
Continuous Integration (CI) and CI+
Using Azure Pipelines for deployment
Using Microsoft Azure for DevOps
 Automated deployment to an Azure Virtual Machine
 Creating and deploying a release
 Infrastructure as Code (IaC)
 Creating and importing YAML builds
 Automatic creation of deployment environments
 Azure Resource Manager and ARM templates
 Continuous Delivery (CD) and using RM triggers
 Hypothesis-Driven Development (HDD)
 Customizing Azure DevOps to implement HDD
 Using feature flags to manage feature availability
 Telemetry and application performance management
 Using feature flags to support A/B testing
 Using LaunchDarkly and Application Insights for HDD
 Exploratory testing, testing “tours” practice
 Using the Microsoft Test and Feedback extension
 Understanding, identifying, and avoiding technical debt
 Using SonarQube to measure your technical debt
 Building a culture of learning and improvement
 Agile metrics and reporting
 Communities of Practice (COPs)
 Recording learnings in the wiki for transparency