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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

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Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

Microsoft DevOps Engineering Professional Certificate

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Microsoft DevOps Engineering Professional Certificate

Engineer Enterprise DevOps Pipelines with Azure.

Automate, secure CI/CD infrastructure via Azure DevOps, GitHub Actions, Terraform, and Kubernetes.

Instructor: Microsoft

Included with Learn more

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5 course series

Earn a career credential that demonstrates your expertise

Advanced level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 course series

Earn a career credential that demonstrates your expertise

Advanced level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Design enterprise Azure DevOps and GitHub governance structures with least-privilege access controls.
Build CI/CD pipeline templates and event-driven automation frameworks that reduce onboarding time and improve MTTR.
Architect secure container supply chains and reusable IaC modules with cost guardrails and policy-as-code.
Deploy observability and distributed tracing solutions with 95% traceability from commit to production.

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Shareable certificate

Add to your LinkedIn profile

Taught in English

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Advance your career with in-demand skills

Receive professional-level training from Microsoft
Demonstrate your technical proficiency
Earn an employer-recognized certificate from Microsoft

Professional Certificate - 5 course series

DevOps Engineering Professional Certificate equips experienced DevOps engineers, platform engineers, and SREs with the skills to build, automate, secure, and monitor enterprise-grade infrastructure at scale. It is ideal for professionals with prior experience in CI/CD, cloud, version control, and scripting moving into senior or lead roles.

The curriculum begins with enterprise DevOps platform governance, designing Azure DevOps organizational hierarchies, enforcing trunk-based branching, and deploying self-hosted GitHub Actions runner fleets on AKS. It progresses to pipeline engineering and automation, building reusable multi-stage YAML pipeline templates and event-driven automation via Azure Functions and Event Grid.

Learners develop cloud-native infrastructure skills, building secure container supply chains with Azure Container Registry image-signing, Kubernetes admission controls, and reusable Terraform and Bicep modules with policy-as-code. The program concludes with observability and metrics using Azure Monitor, Grafana, Application Insights, and OpenTelemetry to trace deployments from commit to production.

Through hands-on projects, learners create portfolio-ready artifacts aligned to SOX, ISO 27001, and CIS benchmarks. Graduates earn a digital certificate and prepare for roles like Senior DevOps Engineer, Platform Engineer, and Site Reliability Engineer.

Applied Learning Project

This program features four portfolio projects applying advanced DevOps to enterprise challenges:

Enterprise Platform Governance Strategy: Design an Azure DevOps/GitHub governance model, implement secure branching, and build a scalable self-hosted runner strategy for multi-team environments.
Automated CI/CD Pipeline Framework: Build reusable multi-stage YAML templates and event-driven automation that standardize deployments, stability, and speed remediation.
Secure IaC Module Library: Create a secure container supply chain with image signing and Kubernetes controls, developing reusable Terraform/Bicep modules with policy-as-code and drift management.
Full-Stack Observability & Tracing Solution: Deploy dashboards, monitoring, and distributed tracing that connect incidents to the exact pipeline run and commit.

Add-on GenAI modules teach AI-assisted governance and infrastructure authoring. Projects emphasize documentation, outcomes, and reusable artifacts for portfolios.

DevOps Platforms & Source Control

Course 1, 7 hours

What you'll learn

Architect an Azure DevOps organization hierarchy that enforces least-privilege access and meets SOX/ISO 27001 requirements.
Design and enforce an organization-wide trunk-based branching and release strategy with mandated protections.
Deploy and operate a self-hosted, auto-scaling GitHub Actions runner fleet on AKS using Terraform.

Pipeline Engineering & Automation

Course 2, 6 hours

What you'll learn

Design event-driven automation frameworks that auto-remediate recurring production incidents with a mean fix-time under 5 minutes.
Create multi-stage YAML pipeline template libraries that standardize CI/CD across teams and reduce onboarding time.
Implement YAML-schema validation toolchains enforced via pre-commit hooks and CI gates.

Cloud Native & IaC Management

Course 3, 5 hours

What you'll learn

Design secure container supply-chain strategies using ACR image-signing and admission controllers that enforce production-only signed images.
Create reusable Bicep and Terraform module libraries with built-in tagging, cost guardrails, and policy-as-code hooks.
Detect and eliminate configuration drift across production subscriptions within 48 hours.

Observability & Metrics

Course 4, 4 hours

What you'll learn

Create observability stacks that track build duration, deployment frequency, change-failure rate, and MTTR for every pipeline.
Analyze flaky-test trends and implement systematic de-flaking to bring failure rates below 1%.
Deploy distributed-tracing setups that correlate production requests to the exact pipeline run and commit SHA.

Launch Your DevOps Engineering Career

Course 5, 1 hour

What you'll learn

Create observability stacks that track build duration, deployment frequency, change-failure rate, and MTTR for every pipeline.
Analyze flaky-test trends and implement systematic de-flaking to bring failure rates below 1%.
Deploy distributed-tracing setups that correlate production requests to the exact pipeline run and commit SHA.

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Microsoft

356 Courses2,670,582 learners

Offered by

Microsoft

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Frequently asked questions

This is an advanced program designed for professionals with 2-3 years of experience in DevOps, cloud infrastructure, or software engineering. You should be comfortable with Git version control, basic Azure or cloud services, YAML syntax, and at least one scripting language (Bash, Python, or PowerShell). Prior exposure to CI/CD pipelines is expected.

You'll work extensively with Azure DevOps, GitHub Enterprise and Actions, Terraform, Bicep, Kubernetes (AKS), Azure Container Registry, Azure Monitor, Grafana, Application Insights, and Azure Functions. All tools are used in the context of enterprise-scale DevOps workflows, not introductory tutorials.

This program targets Career Band 3 (advanced) practitioners. Instead of learning what CI/CD is, you'll architect multi-stage pipeline template libraries, design secure container supply chains with image-signing, and build observability stacks that track DORA metrics. Every skill expression involves enterprise-scale design, governance, and measurable outcomes.