Microsoft DevOps Engineering

Microsoft via Coursera Professional Certificate

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Overview

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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.

Syllabus

Course 1: DevOps Platforms & Source Control
Course 2: Pipeline Engineering & Automation
Course 3: Cloud Native & IaC Management
Course 4: Observability & Metrics
Course 5: Launch Your DevOps Engineering Career

Courses

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Advance your platform engineering expertise by architecting secure, scalable, and reusable cloud-native infrastructure. This course focuses on container security and Infrastructure as Code (IaC) governance across modern enterprise environments. You will begin by implementing container supply-chain strategies, including Azure Container Registry (ACR) image signing with Notary v2 and Software Bill of Materials (SBOM) generation to help ensure that only verified code reaches production environments. You will also strengthen Kubernetes security using Pod Security Admission (PSA) and admission controllers to support compliance with CIS benchmark standards. Beyond containers, the course explores the development of reusable Bicep and Terraform module libraries with built-in cost guardrails and policy-as-code integrations. Through hands-on activities, you will learn to automate infrastructure validation, detect configuration drift, and improve consistency across cloud environments. By the end of the course, you will have built a versioned infrastructure module library that supports governance, scalability, and operational reliability in enterprise-scale cloud platforms.
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Build the governance and platform foundation for enterprise DevOps at scale by designing secure, standardized systems that support modern software delivery. In this course, you'll architect Azure DevOps organizational hierarchies with least-privilege access controls, configure projects, agent pools, and service connections, and implement governance practices aligned to SOX and ISO 27001 requirements. You'll design and enforce trunk-based branching strategies across GitHub Enterprise using branch protections, CODEOWNERS, and commit signing to standardize collaboration and release management. You'll also deploy and operate self-hosted, auto-scaling GitHub Actions runner fleets on Azure Kubernetes Service (AKS) using Terraform, enabling efficient CI/CD execution and improved runner utilization. Through hands-on exercises and practical scenarios, you'll complete a portfolio project documenting your enterprise platform governance strategy.
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Prepare to land and succeed in senior DevOps engineering roles. This short course covers resume optimization for platform engineering positions, portfolio presentation strategies, and interview preparation for technical DevOps interviews including system design and incident-response scenarios.
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Bridge the gap between code commits and business outcomes by building a sophisticated observability and traceability layer. This course empowers you to transform raw telemetry into actionable insights using Azure Monitor, Grafana, and OpenTelemetry. You will begin by constructing comprehensive pipeline-health dashboards that track critical DORA metrics—such as deployment frequency and MTTR—providing a clear view of your delivery velocity and stability. The curriculum moves into the critical area of reliability, where you will use Python-based analysis to identify flaky-test trends and implement systematic de-flaking strategies to drive failure rates below 1%. You will also master end-to-end distributed tracing, learning to correlate live production requests directly back to the specific pipeline run and commit SHA that triggered them. By the end of this course, you will have engineered a full-stack observability solution capable of detecting performance regressions in real-time and automating rollbacks when latency spikes. This is an essential program for SREs and DevOps leaders who aim to achieve 95% traceability and foster a data-driven engineering culture at scale.
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Master the architecture of high-velocity software delivery by designing robust, event-driven CI/CD infrastructure. This course moves beyond basic script execution to focus on the engineering principles required to standardize and scale automation across an enterprise. You will begin by building sophisticated, event-driven remediation frameworks using Azure Functions and Event Grid, designed to auto-heal production environments and drastically reduce mean time to recovery (MTTR). The curriculum transitions into advanced YAML engineering, where you will develop modular, multi-stage template libraries that enforce organizational standards while accelerating team onboarding. You will also implement a rigorous pipeline governance toolchain, utilizing Spectral and pre-commit hooks to validate schemas and security policies at the point of commit. By the end of this course, you will have constructed a complete, automated pipeline framework that minimizes manual intervention, optimizes DORA metrics, and ensures consistent, compliant deployments across multi-cloud environments. This is a hands-on journey into transforming "pipelines as code" into a scalable, self-healing ecosystem.