Azure DevOps equips developers and DevOps engineers with the knowledge and practical skills to manage source code, automate CI/CD pipelines, plan Agile projects, perform continuous testing, and deliver applications efficiently using Microsoft Azure DevOps.
Duration 3-5 Days – 24-40 hrs.
Overview
The Azure DevOps Training Course provides participants with a comprehensive understanding of modern DevOps practices using Azure DevOps. This course focuses on enabling teams to plan, develop, build, test, and deploy applications efficiently through continuous integration and continuous delivery (CI/CD).
Participants will gain hands-on experience with Azure DevOps tools, including Boards, Repos, Pipelines, Test Plans, and Artifacts, while learning how to automate workflows, improve collaboration, and accelerate software delivery in both cloud and hybrid environments.
Objectives
- Understand DevOps principles, culture, and lifecycle
- Navigate and configure Azure DevOps services
- Manage Agile projects using Boards
- Implement source control using Repos (Git)
- Build and manage CI/CD pipelines
- Automate build, test, and deployment processes
- Manage packages and dependencies using Artifacts
- Implement testing strategies using Test Plans
- Monitor, troubleshoot, and optimize DevOps workflows
- Apply security, compliance, and governance practices
Target Audience
- Software Developers and Engineers
- DevOps Engineers and Release Managers
- QA/Test Engineers
- IT Operations and System Administrators
- Cloud Engineers and Architects
- Project Managers and Scrum Masters
Prerequisites
- Basic understanding of APIs (REST, SOAP)
- Familiarity with networking concepts (HTTP, HTTPS, TCP/IP)
- Knowledge of Linux/Unix or Windows server environments
- Basic scripting or programming knowledge (optional but beneficial)
- Understanding of enterprise integration concepts is an advantage
Course Outline
Module 1: Introduction to DevOps and Azure DevOps
- What is DevOps? Principles and benefits
- Overview of Azure DevOps services
- DevOps lifecycle and toolchain
- Setting up Azure DevOps organization and projects
Module 2: Agile Project Management with Boards
- Introduction to Boards
- Creating and managing work items
- Backlogs, sprints, and Kanban boards
- Customizing workflows and dashboards
- Reporting and tracking progress
Module 3: Source Control with Repos
- Introduction to Git and version control
- Using Azure Repos for code management
- Branching strategies (GitFlow, trunk-based development)
- Pull requests and code reviews
- Managing repositories and permissions
Module 4: Continuous Integration (CI) with Pipelines
- Introduction to CI/CD concepts
- Creating build pipelines
- YAML vs Classic pipelines
- Integrating build tools and dependencies
- Automated builds and triggers
Module 5: Continuous Delivery/Deployment (CD)
- Release pipelines and deployment strategies
- Environment configuration and approvals
- Blue-green and rolling deployments
- Infrastructure integration
- Managing secrets and configurations
Module 6: Testing and Quality Assurance
- Introduction to Test Plans
- Manual and automated testing strategies
- Integrating tests into pipelines
- Test reporting and defect tracking
- Quality gates and validation
Module 7: Package Management with Artifacts
- Managing dependencies using Artifacts
- Creating and sharing packages
- Integrating package feeds into pipelines
- Versioning and distribution
Module 8: Monitoring, Logging, and Optimization
- Monitoring pipeline performance
- Logging and debugging
- Identifying bottlenecks
- Performance tuning best practices
Module 9: Security and Compliance in DevOps
- Secure DevOps (DevSecOps) practices
- Managing access and permissions
- Secrets management and secure pipelines
- Compliance and audit trails
Module 10: Advanced DevOps Practices
- Infrastructure as Code (IaC) concepts
- Integrating with Docker and Kubernetes
- Multi-stage pipelines and automation
- Scaling DevOps across teams and organizations
Module 11: Hands-On Workshop / Capstone
- Setting up a complete DevOps project
- Creating repositories and managing code
- Building CI/CD pipelines from scratch
- Deploying applications to cloud environments
- Implementing testing and monitoring
- End-to-end DevOps lifecycle execution
