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Devops

A set of practices that enables smooth, fast delivery by strengthening collaboration between software development and IT operations teams.

Key Points

  • Creates a culture of collaboration and shared ownership across development and operations.
  • Uses automation (build, test, deployment, infrastructure as code) to reduce errors and shorten lead time.
  • Promotes continuous integration, continuous delivery, and rapid feedback loops.
  • Emphasizes measurement and continuous improvement to optimize flow and reliability.

Example

The project manager forms a cross-functional team where developers and operations engineers plan together. They implement CI/CD, automated testing, and blue-green deployments, enabling small, safe releases several times per week instead of quarterly drops.

PMP Example Question

Which action best demonstrates DevOps on an agile project?

  1. Keep development and operations separate and perform a formal handoff at release.
  2. Automate build, test, and deployment while development and operations plan and monitor work together.
  3. Require a change advisory board for every change and release on a fixed quarterly schedule.
  4. Create a detailed upfront design and restrict any scope changes during delivery.

Correct Answer: B — Automating delivery with close collaboration between development and operations

Explanation: DevOps streamlines delivery by combining tight dev-ops collaboration with automation across the pipeline.

AI for Project Managers — Build Plans Faster, Lead Better

Turn messy inputs into structured project plans in minutes. If you are a project manager tired of spending hours on documentation, this course shows you how to use AI to work faster while staying fully in control.

This is not a generic AI course. You will learn how to use AI as a practical co-pilot to build real project artifacts—charters, WBS, schedules, risk registers, and executive reports—using structured, reliable prompt frameworks.

You will also learn how to keep your project aligned across scope, schedule, cost, and risk, and how to interpret performance data like Earned Value Management to support better decisions and communication.

Everything is designed for immediate use. You get ready-to-use prompt templates and workflows you can apply right away in your projects. Watch the video to see how it works and start building your first AI-supported project plan.



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