This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms. This course may earn a Credly Badge.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

After completing this course, students will be able to:
Plan for the transformation with shared goals and timelines
Select a project and identify project metrics and Key Performance Indicators (KPI's)
Create a team and agile organizational structure
Design a tool integration strategy
Design a license management strategy (e.g., Azure DevOps and GitHub users)
Design a strategy for end-to-end traceability from work items to working software
Design an authentication and access strategy
Design a strategy for integrating on-premises and cloud resources
Describe the benefits of using Source Control
Describe Azure Repos and GitHub
Migrate from TFVC to Git
Manage code quality including technical debt SonarCloud, and other tooling solutions
Build organizational knowledge on code quality
Explain how to structure Git repos
Describe Git branching workflows
Leverage pull requests for collaboration and code reviews
Leverage Git hooks for automation
Use Git to foster inner source across the organization
Explain the role of Azure Pipelines and its components
Configure Agents for use in Azure Pipelines
Explain why continuous integration matters
Implement continuous integration using Azure Pipelines
Define Site Reliability Engineering
Design processes to measure end-user satisfaction and analyze user feedback
Design processes to automate application analytics
Manage alerts and reduce meaningless and non-actionable alerts
Carry out blameless retrospectives and create a just culture
Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
Implement compliance and security in your application infrastructure
Describe the potential challenges with integrating open-source software
Inspect open-source software packages for security and license compliance
Manage organizational security and compliance policies
Integrate license and vulnerability scans into build and deployment pipelines
Configure build pipelines to access package security and license ratings

  • Planning for DevOps

  • Transformation Planning
    Project Selection
    Team Structures
    Migrating to Azure DevOps

  • Getting started with Source Control

  • What is Source Control
    Benefits of Source Control
    Types of Source Control Systems
    Introduction to Azure Repos
    Introduction to GitHub
    Migrating from Team Foundation Version Control (TFVC) to Git in Azure Repos
    Authenticating to Git in Azure Repos

  • Scaling git for enterprise DevOps

  • How to Structure your Git Repo
    Git Branching Workflows
    Collaborating with Pull Requests in Azure Repos
    Why care about GitHooks
    Fostering Inner Source

  • Consolidating Artifacts & Designing a Dependency Management Strategy

  • Packaging Dependencies
    Package Management
    Migrating and Consolidating Artifacts

  • Implementing Continuous Integration with Azure Pipelines

  • The concept of pipelines in DevOps
    Azure Pipelines
    Evaluate use of Hosted vs Private Agents
    Agent Pools
    Pipelines and Concurrency
    Azure DevOps and Open Source Projects (Public Projects)
    Azure Pipelines YAML vs Visual Designer
    Continuous Integration Overview
    Implementing a Build Strategy
    Integration with Azure Pipelines
    Integrate External Source Control with Azure Pipelines
    Set Up Private Agents
    Analyze and Integrate Docker Multi-Stage Builds

  • Managing Application Config and Secrets

  • Introduction to Security
    Implement secure and compliant development process
    Rethinking application config data
    Manage secrets, tokens, and certificates
    Implement tools for managing security and compliance in a pipeline

  • Managing Code Quality and Security Policies

  • Managing Code Quality
    Managing Security Policies

  • Implementing a Container Build Strategy

  • Implementing a Container Build Strategy

  • Manage Artifact versioning, security & compliance

  • Package security
    Open source software
    Integrating license and vulnerability scans
    Implement a versioning strategy

  • Design a Release Strategy

  • Introduction to Continuous Delivery
    Release strategy recommendations
    Building a High-Quality Release pipeline
    Choosing a deployment pattern
    Choosing the right release management tool

  • Set up a Release Management Workflow

  • Create a Release Pipeline
    Provision and Configure Environments
    Manage and Modularize Tasks and Templates
    Integrate Secrets with the release pipeline
    Configure Automated Integration and Functional Test Automation
    Automate Inspection of Health

  • Implement an appropriate deployment pattern

  • Introduction to Deployment Patterns
    Implement Blue Green Deployment
    Feature Toggles
    Canary Releases
    Dark Launching
    AB Testing
    Progressive Exposure Deployment

  • Implement process for routing system feedback to development teams

  • Implement Tools to Track System Usage, Feature Usage, and Flow
    Implement Routing for Mobile Application Crash Report Data
    Develop Monitoring and Status Dashboards
    Integrate and Configure Ticketing Systems

  • Infrastructure and Configuration Azure Tools

  • Infrastructure as Code and Configuration Management
    Create Azure Resources using ARM Templates
    Create Azure Resources using Azure CLI
    Create Azure Resources by using Azure PowerShell
    Desired State Configuration (DSC)
    Azure Automation with DevOps
    Additional Automation Tools

  • Azure Deployment Models and Services

  • Deployment Modules and Options
    Azure Infrastructure-as-a-Service (IaaS) Services
    Azure Platform-as-a-Service (PaaS) services
    Serverless and HPC Computer Services
    Azure Service Fabric

  • Create and Manage Kubernetes Service Infrastructure

  • Azure Kubernetes Service

  • Third Party Infrastructure as Code Tools available with Azure

  • Chef

  • Implement Compliance and Security in your Infrastructure

  • Security and Compliance Principles with DevOps
    Azure security Center

  • Recommend and design system feedback mechanisms

  • The inner loop
    Continuous Experimentation mindset
    Design practices to measure end-user satisfaction
    Design processes to capture and analyze user feedback
    Design process to automate application analytics

  • Optimize feedback mechanisms

  • Site Reliability Engineering
    Analyze telemetry to establish a baseline
    Perform ongoing tuning to reduce meaningless or non-actionable alerts
    Analyze alerts to establish a baseline
    Blameless Retrospectives and a Just Culture

  • Optimize feedback mechanisms

  • Site Reliability Engineering
    Analyze telemetry to establish a baseline
    Perform ongoing tuning to reduce meaningless or non-actionable alerts
    Analyze alerts to establish a baseline
    Blameless PostMortems and a Just Culture

  • Planning for DevOps

  • Transformation Planning
    Project Selection
    Team Structures

  • Planning for Quality and Security

  • Planning a Quality Strategy
    Planning Secure Development

  • Migrating and Consolidating Artifacts and Tools

  • Migrating and Consolidating Artifacts
    Migrating and Integrating Source Control


Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.




Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.


Length: 4.0 days (32 hours)


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