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Microsoft DevOps Engineer (AZ-400) Course

Item: certified-azure-devops-engineer-course
Rating: 10
Author: Marc Lichtenstein Schultz

Accelerate Software Delivery and Deployment with Azure DevOps expertise. Learn how to automate workflows, streamline collaboration and ensure continuous integration and deployment.

course: Microsoft Certified DevOps Engineer (AZ-400)

Duration: 4 days

Format: Virtual or Classroom

Prepares for Exam: Designing and Implementing Microsoft DevOps Solutions AZ-400

Prepares for Certification: Microsoft Certified: DevOps Engineer Expert

Attend this and 60+ other Microsoft courses for FREE with Unlimited Microsoft Training

Overview

The Microsoft DevOps Engineer (AZ-400) course teaches you to design and implement DevOps practices on Microsoft Azure. You will gain expertise in version control, continuous integration and delivery, infrastructure as code, and monitoring. This instructor-led training prepares you for the AZ-400 exam and the Microsoft Certified: DevOps Engineer Expert certification.

This course includes

Instructor-led training
Practice test
Pre-reading
Personal Learning Path
Certification Guarantee
Email, chat and phone support

Who is the Microsoft DevOps AZ 400 online training course for?

The Microsoft Certified DevOps Engineer (AZ-400) certification is designed for professionals who are responsible for designing, implementing, and maintaining DevOps processes and practices in an organization. The certification is ideal for individuals who have experience with DevOps practices and want to validate their skills and knowledge in this area. The AZ-400 certification covers various topics related to DevOps engineering, such as implementing DevOps development processes, implementing continuous integration and delivery, implementing dependency management, implementing application infrastructure, and implementing continuous feedback. The course teaches you how to design, implement, and maintain DevOps processes and practices using Microsoft Azure and other DevOps tools and technologies.

Curriculum

What you will learn during our AZ400 Azure DevOps Engineer training.

Develop an Instrumentation Strategy

Design and implement logging
Evaluate and configure a logframe
Designing a log aggregation and storage strategy (e.g. Azure storage)
Design a log aggregation and query strategy using (e.g. Azure Monitor, Splunk)
Manage access control to log files (workspacecentric/resourcecentric)
Integrate crash analysis (App Center Crashes, Crashlytics)

Design and implement telemetry

Design and implement distributed tracking
Inspect application performance indicators
Inspect infrastructure performance indicators
Define and measure key metrics (CPU, memory, disk, network)
Implement alerts on key metrics (email, SMS, webhooks, Teams/Slack)
Integrate user analytics (eg Application Insights funnels, Visual Studio App Center, TestFlight, Google Analytics)

Integrate logging and monitoring solutions

Configure and integrate container monitoring (Azure Monitor, Prometheus, etc.)
Configure and integrate with monitoring tools (Azure Monitor Application Insights, Dynatrace, New Relic, Naggios, Zabbix)
Create feedback loop from platform monitoring tools (eg Azure Diagnostics extension, Log Analytics agent, Azure Platform Logs, Event Grid)
Manage access control to the monitoring platform

Develop a Site Reliability Engineering (SRE) strategy

Develop an actionable notification strategy
Identify and recommend metrics to base alerts on
Implement alerts using appropriate metrics
Implement alerts based on appropriate log messages
Implement alerts based on application health checks
Analyze combinations of metrics
Develop communication mechanism to notify users about degraded systems
Implement alerts for selfhealing activities (eg scaling, failovers)

Designing an error prediction strategy

Analyze the behavior of the system with regard to load and fault conditions
Calculate when a system will fail under different conditions
Measure baseline metrics for the system
Leveraging Application Insights Smart Detection and dynamic thresholds in Azure Monitor
Design and implement a health check
Analyze system dependencies to determine which dependency to include in the health check
Calculate healthy response timeouts based on the SLO of the service
Design approach to partial health situations
Design approach to piecemeal recovery (eg to improve objective recovery time strategies)
Integrate health checks with computing environment
Implement different types of health checks (container liveness, startup, shutdown)

Develop a security and compliance plan

Design an authentication and authorization strategy
Design an access solution (Azure AD Privileged Identity Management (PIM), Azure AD Conditional Access, MFA, Azure AD B2B, etc.)
Implement Service Principals and Managed Identity
Designing an application access solution using Azure AD B2C
Configure service connections

Design a strategy for handling sensitive information

Evaluate and configure vault solution (Azure Key Vault, Hashicorp Vault)
Manage security certificates
Design a secret storage and retrieval strategy (KeyVault secrets, GitHub secrets, Azure Pipelines secrets)
Formulate a plan for the implementation of secret files as part of Develop security and compliance
Automate dependency scanning for security (container scanning, OWASP)
Automate dependency scanning for compliance (licenses: MIT, GPL)
Assess and report risks
Designing a source code compliance solution (e.g. GitHub code scanning, GitHub Secret scanning, pipeline based scans, Git hooks, SonarQube, Dependabot, etc.)

Design of governance enforcement mechanisms

Implement Azure policies to enforce organizational requirements
Implement container scanning (e.g. static scanning, malware, cryptomining)
Design and implement Azure Container Registry Tasks
Design a breaktheglass strategy to respond to security incidents

Manage control of sources

Develop a modern strategy for controlling sources
Integrate/migrate disparate source control systems (e.g. GitHub, Azure Repos)
Design authentication strategies
Designing approaches for handling large binaries (e.g. Git LFS)
Designing approaches for sharing archives across (e.g. Git submodules, packages)
Implement workflow hooks
Designing approaches for effective code reviews (e.g. GitHub code review assignments, schedule reminders, Pull Analytics)

Plan and implement branching strategies for source control

Define guidelines for Pull Requests (PR) to enforce correlation of work items
Implement constraints on branch merging (eg branch policies, branch protection, manual, etc.)
Define branch strategy (e.g. main branch, feature branch, release branch, GitHub flow)
Design and implement a PR workflow (review of codes, approvals)
Enforce static code analysis to achieve consistent code quality on PR

Configure repositories

Configure permissions in the control store for sources
Organize the repository with git tags
Plan the handling of oversized depots
Schedule content recovery in all storage modes
Delete data from source control

Integrate source control with tools

Integrate GitHub with DevOps pipelines
Integrate GitHub with identity management solutions (Azure AD)
Design for GitOps
Design for ChatOps
Integrate source control artifacts for consumption (eg Git changelog)
Integrate GitHub Codespaces

Facilitate communication and collaboration

Communicate deployment and release information with business stakeholders
Create dashboards combining boards, pipelines (custom dashboards on Azure DevOps)
Design a communication strategy for cost management
Integrate release pipeline with work item tracking (eg AZ DevOps, Jira, ServiceNow)
Integrate GitHub as a repository with Azure Boards
Communicate user analysis

Develop DevOps process documentation

Design the onboarding process for new employees
Assess and document external dependencies (e.g. integrations, packages)
Assess and document artifacts (version, release notes)

Automate communication with team members

Integrate monitoring tools with communication platforms (e.g. Teams, Slack, dashboards)
Notify stakeholders of key metrics, alerts and critical incidents using communication and project management platforms (e.g. email, SMS, Slack, Teams, ServiceNow, etc.)
Integrate build and release with communication platforms (eg build errors, release errors)
Integrate GitHub pull request approvals via mobile apps

Define and implement continuous integration

Design build automation
Integrate the build pipeline with external tools (e.g. dependency and security scanning, code coverage)
Implement quality gates (e.g. code coverage, internationalization, peer review)
Design a test strategy (eg integration, load, fuzz, API, chaos)
Integrate multiple tools (e.g. GitHub Actions, Azure Pipeline, Jenkins)

Design a strategy for package management

Recommend tools for package management (e.g. GitHub packages, Azure Artifacts, Azure Automation Runbooks Gallery, Nuget, Jfrog, Artifactory)
Designing an Azure Artifacts deployment including linked feeds
Design versioning strategy for code assets (eg SemVer, date based)
Plan for assessing, updating and reporting packages that depend on each other (GitHub)

Automated security updates (NuKeeper, GreenKeeper)

Designing a versioning strategy for packages (e.g. SemVer, datebased)
Design a versioning strategy for implementation artifacts

Design an application infrastructure management strategy

Assess a configuration management mechanism for application infrastructure
Define and enforce desired state configuration for environments

Implement a build strategy

Design and implement build agent infrastructure (includes costs, tool selection, licenses, maintenance)
Develop and implement build trigger rules
Develop build pipelines
Designing build orchestration (products composed of multiple builds)
Integrate configuration into the build process
Develop complex build scenarios (eg containerized agents, hybrid, GPU)

Maintain build strategy

Monitor pipeline health (failure rate, duration, flaky tests)
Optimizing build (cost, time, performance, reliability)
Analyze CI load to determine build agent configuration and capability

Design a process for standardizing builds across the organization

Manage selfhosted build agents (VM templates, containerization, etc.)
Create reusable build subsystems (YAML templates, Task Groups, Variable Groups, etc.)

Define and implement a continuous delivery and release management strategy

Develop deployment scripts and templates
Recommend a deployment solution (eg GitHub Actions, Azure Pipelines, Jenkins, CircleCI, etc.)
Design and implement infrastructure as code (ARM, Terraform, PowerShell, CLI)
Develop process for application deployment (container, binary, scripts)
Develop process for database implementation (migration, data movement, ETL)
Integrate configuration management as part of the release process
Develop complex deployments (IoT, Azure IoT Edge, mobile, App Center, DR, multiregion, CDN, sovereign cloud, Azure Stack, etc.)

Implement an orchestration automation solution

Combine release targets depending on release delivery (eg infrastructure, code, assets, etc.)
Design the release pipeline to ensure reliable sequencing of dependency implementations

Preparation

How to best be prepared for our AZ 400 Azure DevOps course.

At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. While there are no strict entry requirements, certain foundational knowledge may enhance your learning experience. Any recommended prerequisites specific to this course are detailed below..

Proficiency in using Microsoft Azure and its services, including Azure DevOps.
Strong understanding of software development processes and methodologies, such as Agile and Scrum.
Experience with version control systems like Git.
Knowledge of continuous integration (CI) and continuous deployment (CD) practices and tools.
Familiarity with infrastructure as code (IaC) concepts and tools such as Azure Resource Manager (ARM) templates or Terraform.
Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.
Basic understanding of networking concepts and security best practices.
Experience in scripting or programming languages such as PowerShell, Bash, or Python.
Prior experience in software development or IT operations roles is recommended.
Completion of relevant training or certification courses on Azure fundamentals and DevOps practices is advantageous.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Tiago Costa

With a long-standing reputation as a Microsoft MVP and MCT, Tiago Costa delivers LIVE training that blends expert knowledge with real-world application. His courses help professionals build hands-on cloud skills and prepare effectively for Microsoft certifications.

Meet the Instructor: Tiago Costa

At Readynez, we believe world-class training starts with world-class instructors - and Tiago Costa is a prime example.

With over 20 years of experience delivering Microsoft Cloud & AI solutions (including to Fortune 500 companies), Tiago brings a rare combination of deep technical expertise and real-world perspective to every course.

50+ Microsoft certifications.
Microsoft MVP since 2016 & Microsoft Certified Trainer since 2006. 
Speaker, architect, and trusted advisor to global enterprises.

As a dedicated community leader, an independent contractor and founder of the Azure & AI Portugal User Group, Tiago is passionate about helping others grow their careers through knowledge sharing and practical skills.

When you train with Tiago, you’re not just learning from certified professionals...
You’re learning from a global leader.

Find your next Microsoft course with Tiago Costa here.

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Frank Geisler

Frank Geisler delivers high-quality, LIVE instructor-led training in Microsoft Data & AI for professionals seeking practical skills and strong certification readiness. With extensive experience across Azure, SQL Server, Fabric, and Power BI, he helps learners master modern data platforms through real-world scenarios and expert guidance.

Meet the Instructor: Frank Geisler

When it comes to Data & AI on the Microsoft stack, Frank Geisler brings world-class expertise and community leadership to every session.

Frank Geisler - owner & CEO of GDS Business Intelligence GmbH - is a globally respected Microsoft Data & AI expert whose credentials speak for themselves:

Microsoft MVP (Fabric and Real-Time Intelligence)
MCT
Azure Solutions Architect Expert
DevOps Engineer Expert
Cybersecurity Architect Expert
Azure Data Engineer Associate
Fabric Analytics Engineer Associate
Fabric Data Engineer Associate
Azure Security Engineer Associate

Frank has designed and delivered complex Business Intelligence solutions using SQL Server, Azure Data Platform, Microsoft Fabric, and Power BI, and he’s a master at building secure, scalable Azure infrastructures with PowerShell and Bicep.

He is a prolific author and has written bestsellers like Power BI für Dummies, Azure für Dummies, and Docker für Dummies. His upcoming book is Fabric Real-Time Intelligence that he writes with Johan Brattas for O`Reilly. Frank is also a sought-after speaker at top conferences including PASS Summit, SQL BITS, and SQL Server Konferenz.

Beyond the classroom, Frank leads the Microsoft Data Community Regional Chapter Münsterland, helping professionals stay ahead in the fast-moving world of data.

Join a Readynez course with Frank and you’ll gain practical insight from someone who not only masters the technology but also shapes the global data community.

Explore upcoming Readynez courses with Frank.

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FAQ

FAQs for the Microsoft Certified DevOps Engineer (AZ-400) course.

What is AZ-400 certification?

AZ-400 is the Microsoft Certified: DevOps Engineer Expert certification. It validates the skills and knowledge required to design and implement DevOps practices on Microsoft Azure. Professionals with this certification demonstrate expertise in areas such as version control, continuous integration, continuous delivery, infrastructure as code, and monitoring and feedback.

How do I prepare for the AZ-400 exam?

Unlock your potential with the AZ-400 certification – Microsoft Certified: DevOps Engineer Expert. Join our comprehensive course at Readynez, where we specialize in guiding individuals and teams to success in certification exams. Embrace the future of DevOps, master Azure practices, and enhance your career. Become certified with us and open doors to exciting opportunities in the dynamic field of cloud-based DevOps engineering. Your success starts here.

What are the prerequisites for AZ-400 certification?

To attain the AZ-400 certification, aspiring candidates should ideally have hands-on experience with Azure administration, Azure development processes, and an in-depth understanding of both Azure DevOps and Git. Familiarity with Agile and Scrum methodologies is beneficial, and a foundational knowledge of continuous integration, continuous delivery, and version control is highly recommended.

How much does the AZ-400 exam cost?

The cost of AZ-400 certification exam costs anywhere from €150 - €228 depending upon your location and currency exchange rate.

What topics are covered in the AZ-400 exam?

The AZ-400 exam syllabus covers various topics related to Azure DevOps Services and DevOps practices. The key areas include:

Develop an instrumentation strategy (5-10%)
Develop a Site Reliability Engineering (SRE) strategy (5-10%)
Develop a security and compliance plan (10-15%)
Manage source control (10-15%)
Facilitate communication and collaboration (10-15%)
Define and implement continuous integration (20-25%)
Implement continuous delivery (10-15%)
Implement dependency management (5-10%)

Is AZ-400 certification worth it for my career?

Yes, the AZ-400 certification, "Designing and Implementing Microsoft DevOps Solutions," is highly valuable for individuals pursuing a career in DevOps and cloud-based development. It demonstrates your expertise in using Azure DevOps Services and implementing DevOps practices, making you a valuable asset to organizations adopting modern software development methodologies.

How long does it take to become AZ-400 certified?

The time it takes to become AZ-400 certified varies depending on individual factors such as prior experience, knowledge, and the time commitment for preparation. On average, candidates may spend several weeks to a few months preparing for the exam through self-study, online courses, or instructor-led training programs.

Can I take the AZ-400 exam online?

The AZ-400 certification exam can be either taken online or through a certified Pearson VUE test center.

How easy or difficult is it to pass the AZ-400 exam?

The difficulty of passing the AZ-400 exam depends on individual factors such as prior experience, knowledge, and preparation efforts. The exam is designed to assess skills in implementing DevOps practices with Microsoft Azure technologies. Candidates with hands-on experience in Azure DevOps and thorough preparation through study materials, practice tests, and practical application are more likely to succeed.

What is the passing score for the AZ-400 exam?

To obtain the certificate, a minimum score of 700 out of 1000 is required, with a passing threshold of 70%.

How can I maintain my AZ-400 certification?

To maintain your AZ-400 certification, you need to earn 40 Continuing Professional Education (CPE) credits each year, with a minimum of 20 CPEs earned in each of the two ISACA domains. You can obtain CPEs through various activities, such as attending conferences, participating in training courses, or engaging in professional development activities related to information systems audit, control, and security.

How much salary can I get after getting AZ-400 certified?

The average salary for professionals with AZ-400 certification can vary based on factors such as experience, location, and the specific job role. On average, individuals holding the AZ-400 certification can earn salaries ranging from €82,278to €1,09,735 annually, with the potential for higher earnings based on expertise and seniority.

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