Azure DevOps Server Course Overview

Azure DevOps Server Course Overview

The Azure DevOps Server course is a comprehensive developer course online designed to empower learners with the skills and knowledge necessary to implement DevOps practices using Azure DevOps and GitHub. It covers the breadth of DevOps methodologies, from Source control management and continuous integration (CI) to continuous delivery (CD) and Monitoring.

Starting with Module 1, participants begin their DevOps transformation journey by understanding the core principles of DevOps, selecting the appropriate projects, and identifying the right team structures and tools. As learners progress through the modules, they delve into advanced topics such as implementing CI with Azure Pipelines and GitHub Actions, designing release strategies, and managing Infrastructure as code.

By the end of this course, participants will be well-equipped to streamline software development processes, enhance collaboration, and deploy high-quality software rapidly and efficiently. Additionally, the course includes practical labs for hands-on experience, crucial for those looking to excel in learning cloud courses and apply best practices in real-world scenarios.

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  • Live Training (Duration : 32 Hours)
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Course Advisor

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Dipankar Bhardwaj

13+ Years Experience

SME and Technical Consultant on System Center Products and Private, public Cloud (Azure) with 18+ years of experience in IT infrastructure

Target Audience for Azure DevOps Server

  1. The Azure DevOps Server course is designed for IT professionals focused on implementing DevOps strategies and workflows.


  2. Target audience for the Azure DevOps Server course:


  • DevOps Engineers
  • Software Developers
  • IT Project Managers
  • System Administrators
  • Operations Support
  • Release Managers
  • Cloud Professionals
  • IT Managers
  • Security Engineers
  • Quality Assurance Professionals
  • Infrastructure Architects
  • Build and Release Engineers
  • Application Developers
  • Technical Leads
  • Software Architects
  • IT Professionals transitioning to DevOps roles


Learning Objectives - What you will Learn in this Azure DevOps Server?

Introduction to the Azure DevOps Server Course Learning Outcomes

This Azure DevOps Server course equips participants with comprehensive knowledge and skills to implement DevOps practices using Azure DevOps Server and Github, facilitating a complete DevOps transformation journey.

Learning Objectives and Outcomes

  • Understand the core concepts of DevOps, including its advantages and how to select the right project for DevOps transformation.
  • Gain insights into effective team structures and the selection of appropriate DevOps tools for collaboration and automation.
  • Learn to plan and manage agile projects using GitHub Projects and Azure Boards, including portfolio management and version control with Git in Azure Repos.
  • Master the structuring of Git repositories, management of branches and workflows, collaboration through pull requests, and fostering inner-source practices.
  • Implement Continuous Integration (CI) using Azure Pipelines and GitHub Actions, learn pipeline strategies, and integrate external source control.
  • Design and execute a robust release strategy using Azure Pipelines, including continuous delivery, release pipelines, and deployment strategies such as blue-green and canary releases.
  • Implement secure Continuous Deployment (CD) using Azure Pipelines, integrate with identity management systems, and manage application configurations securely.
  • Manage infrastructure as code using Azure Resource Manager templates, Azure CLI, Azure Automation, and Desired State Configuration (DSC) for efficient infrastructure provisioning.
  • Ensure codebase compliance with security best practices by integrating static analyzers, software composition analysis, and security monitoring.
  • Develop a dependency management strategy, including package management, artifact migration, and versioning, along with continuous feedback mechanisms using application analytics and integration with communication tools.

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