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Azure DevOps consists of several key components: Azure Boards: Agile planning tools for tracking work items, managing backlogs, and planning sprints using Kanban boards or Scrum methodologies. Azure Repos: Git repositories for version control, enabling teams to collaborate on code, review changes, and manage branches. Azure Pipelines: CI/CD service for automating the build, test, and deployment process across different platforms and environments. Azure Artifacts: Package management service for storing and sharing artifacts like binaries, npm packages, NuGet packages, and more. Azure Test Plans: Test management tools for planning, executing, and tracking tests to ensure application quality. Azure DevOps Extensions: Marketplace for integrating with third-party tools and extending the capabilities of Azure DevOps.
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Online / Offline • Flexible time
19:30 PM19:30 PM to 20:30 PM (UTC) • Duration: 2 months
₹50.00
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Unlock your potential in with MS Azure Devops Online Training certification
Essential details: objectives, prerequisites, schedule, and outcomes
The primary objectives of learning Azure DevOps include: Streamlining Development Processes: Learn how to use Azure DevOps tools to automate repetitive tasks, improve collaboration among team members, and accelerate the software development lifecycle. Implementing Continuous Integration and Deployment: Understand how to set up automated build and deployment pipelines to deliver high-quality software more frequently and reliably. Enhancing Collaboration: Master the use of Azure Boards for effective project management and collaboration, enabling teams to plan, track, and deliver software iterations efficiently. Improving Application Quality: Learn how to leverage Azure Test Plans and other testing tools to ensure the quality and reliability of software through comprehensive testing strategies. Gaining Insights and Monitoring: Explore how to use Azure DevOps for monitoring application performance, collecting feedback, and gaining insights to continuously improve development processes.
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