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Microsoft Azure DevOps (Az-400)

About this course

This course is designed to prepare you for the Microsoft Azure AZ-400 certification exam, focusing on Azure DevOps solutions. Learn to design and implement DevOps practices for continuous integration, continuous delivery, and infrastructure as code on Microsoft Azure. Gain practical experience with Azure DevOps services such as Azure Pipelines, Azure Repos, Azure Artifacts, and Azure Boards. Explore topics including automating deployment and testing processes, implementing security and compliance, and monitoring and optimizing Azure solutions. This course includes hands-on labs and real-world scenarios to help you build the skills needed to excel as an Azure DevOps Engineer Expert. Ideal for DevOps professionals and developers aiming to validate their expertise in designing and implementing DevOps solutions on Azure.

Course Outline

Module 1: Design and implement processes and communications

Design and implement traceability and flow of work
  • Design and implement a structure for the flow of work, including GitHub Flow
  • Design and implement a strategy for feedback cycles, including notifications and GitHub issues
  • Design and implement integration for tracking work, including GitHub projects, Azure Boards, and repositories
  • Design and implement source, bug, and quality traceability
Design and implement appropriate metrics and queries for DevOps
  • Design and implement a dashboard, including flow of work, such as cycle times, time to recovery, and lead time
  • Design and implement appropriate metrics and queries for project planning
  • Design and implement appropriate metrics and queries for development
  • Design and implement appropriate metrics and queries for testing
  • Design and implement appropriate metrics and queries for security
  • Design and implement appropriate metrics and queries for delivery
  • Design and implement appropriate metrics and queries for operations
Configure collaboration and communication
  • Document a project by configuring wikis and process diagrams, including Markdown and Mermaid syntax
  • Configure release documentation, including release notes and API documentation
  • Automate creation of documentation from Git history
  • Configure integration by using webhooks
  • Configure integration between Azure Boards and GitHub repositories
  • Configure integration between GitHub or Azure DevOps and Microsoft Teams

Module 2: Design and implement a source control strategy

Design and implement branching strategies for the source code
  • Design a branch strategy, including trunk-based, feature branch, and release branch
  • Design and implement a pull request workflow by using branch policies and branch protections
  • Implement branch merging restrictions by using branch policies and branch protections
Configure and manage repositories
  • Design and implement a strategy for managing large files, including Git Large File Storage (LFS) and git-fat
  • Design a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharing
  • Configure permissions in the source control repository
  • Configure tags to organize the source control repository
  • Recover specific data by using Git commands
  • Remove specific data from source control

Module 3: Design and implement build and release pipelines

Design and implement a package management strategy
  • Recommend package management tools including GitHub Packages registry and Azure Artifacts
  • Design and implement package feeds and views for local and upstream packages
  • Design and implement a dependency versioning strategy for code assets and packages, including semantic versioning (SemVer) and date-based (CalVer)
  • Design and implement a versioning strategy for pipeline artifacts
Design and implement a testing strategy for pipelines
  • Design and implement quality and release gates, including security and governance
  • Design a comprehensive testing strategy, including local tests, unit tests, integration tests, and load tests
  • Implement tests in a pipeline, including configuring test tasks, configuring test agents, and integration of test results
  • Implement code coverage analysis
Design and implement pipelines
  • Select a deployment automation solution, including GitHub Actions and Azure Pipelines
  • Design and implement a GitHub runner or Azure DevOps agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability
  • Design and implement integration between GitHub repositories and Azure Pipelines
  • Develop and implement pipeline trigger rules
  • Develop pipelines by using YAML
  • Design and implement a strategy for job execution order, including parallelism and multi-stage pipelines
  • Develop and implement complex pipeline scenarios, such as hybrid pipelines, VM templates, and self-hosted runners or agents
  • Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups
  • Design and implement checks and approvals by using YAML-based environments
Design and implement deployments
  • Design a deployment strategy, including blue-green, canary, ring, progressive exposure, feature flags, and A/B testing
  • Design a pipeline to ensure that dependency deployments are reliably ordered
  • Plan for minimizing downtime during deployments by using virtual IP address (VIP) swap, load balancing, rolling deployments, and deployment slot usage and swap
  • Design a hotfix path plan for responding to high-priority code fixes
  • Design and implement a resiliency strategy for deployment
  • Implement feature flags by using Azure App Configuration Feature Manager
  • Implement application deployment by using containers, binaries, and scripts
  • Implement a deployment that includes database tasks
Design and implement infrastructure as code (IaC)
  • Recommend a configuration management technology for application infrastructure
  • Implement a configuration management strategy for application infrastructure
  • Define an IaC strategy, including source control and automation of testing and deployment
  • Design and implement desired state configuration for environments, including Azure
  • Automation State Configuration, Azure Resource Manager, Bicep, and Azure Automanage Machine Configuration
  • Design and implement Azure Deployment Environments for on-demand self-deployment
Maintain pipelines
  • Monitor pipeline health, including failure rate, duration, and flaky tests
  • Optimize a pipeline for cost, time, performance, and reliability
  • Optimize pipeline concurrency for performance and cost
  • Design and implement a retention strategy for pipeline artifacts and dependencies
  • Migrate a pipeline from classic to YAML in Azure Pipelines

Module 4: Develop a security and compliance plan

Design and implement authentication and authorization methods
  • Choose between Service Principals and Managed Identity (including system-assigned and user-assigned)
  • Implement and manage GitHub authentication, including GitHub Apps, GITHUB_TOKEN, and personal access tokens
  • Implement and manage Azure DevOps service connections and personal access tokens
  • Design and implement permissions and roles in GitHub
  • Design and implement permissions and security groups in Azure DevOps
  • Recommend appropriate access levels, including stakeholder access in Azure DevOps and outside collaborator access in GitHub
  • Configure projects and teams in Azure DevOps
Design and implement a strategy for managing sensitive information in automation
  • Implement and manage secrets, keys, and certificates by using Azure Key Vault
  • Implement and manage secrets in GitHub Actions and Azure Pipelines
  • Design and implement a strategy for managing sensitive files during deployment, including Azure Pipelines secure files
  • Design pipelines to prevent leakage of sensitive informatio
Automate security and compliance scanning
  • Design a strategy for security and compliance scanning, including dependency, code, secret, and licensing scanning
  • Configure Microsoft Defender for Cloud DevOps Security
  • Configure GitHub Advanced Security for both GitHub and Azure DevOps
  • Integrate GitHub Advanced Security with Microsoft Defender for Cloud
  • Automate container scanning, including scanning container images and configuring an action to run CodeQL analysis in a container
  • Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Dependabot alerts

Module 5: Implement an instrumentation strategy

Configure monitoring for a DevOps environment
  • Configure Azure Monitor and Log Analytics to integrate with DevOps tools
  • Configure collection of telemetry by using Application Insights, VM Insights, Container Insights, Storage Insights, and Network Insights
  • Configure monitoring in GitHub, including enabling insights and creating and configuring charts
  • Configure alerts for events in GitHub Actions and Azure Pipelines
Analyze metrics from instrumentation
  • Inspect infrastructure performance indicators, including CPU, memory, disk, and network
  • Analyze metrics by using collected telemetry, including usage and application performance
  • Inspect distributed tracing by using Application Insights
  • Interrogate logs using basic Kusto Query Language (KQL) queries

Best Online Azure DevOps (AZ-400) Training in Pakistan

AZ-400 earns you the Microsoft Certified: DevOps Engineer Expert credential, and it is an expert level exam for a reason. It expects you to already hold associate level Azure knowledge and then tests whether you can design a delivery process, not just operate one.

Our AZ-400 program runs 40 hours across 5 modules, live online across Pakistan. The extra hours compared with our other cloud courses are deliberate. This exam contains scenario questions where several answers are technically workable and only one fits the constraints described, and that judgement takes practice to build.

Before enrolling, check the prerequisite. Microsoft expects AZ-104 or AZ-204 first. If you do not hold either, start with Azure Administrator AZ-104 or Azure Developer AZ-204 and progress from there.

Key Benefits of Azure DevOps (AZ-400)

Expert level credential, associate level competition 

The pool of AZ-400 holders in Pakistan is small because the prerequisite filters most people out. Scarcity is the whole point of an expert certification, and it is what gives the credential its salary effect.

Microsoft dominates enterprise IT in this market

Banks, telecoms, government and large corporates in Pakistan run Microsoft stacks. An Azure DevOps specialisation targets where the enterprise budgets actually sit rather than where the online discourse points.

You learn delivery design, not just tooling

Branching strategy, release gates, artifact management, infrastructure as code, monitoring and feedback loops. This is the level at which you influence how an engineering organisation works rather than executing someone else’s design.

It anchors a full Microsoft certification track

AZ-400 sits well alongside server infrastructure work such as MCSE 2025 AZ-800, and students moving toward architecture continue with Azure Solutions Architect AZ-305.

The skills transfer across clouds

The release engineering principles hold everywhere. Engineers in multi cloud environments frequently add AWS DevOps Engineer Professional afterwards without starting from zero.

Why Choose ItechNets for Azure DevOps (AZ-400)

96% pass rate on an exam people commonly fail

AZ-400 has a reputation for failing well prepared candidates because of its scenario format. Our pass rate across 15,000+ trained professionals reflects how much of the program is spent on scenario reasoning rather than feature memorisation.

Microsoft authorised training partner

We deliver as an authorised partner, which means current official curriculum rather than materials assembled from public documentation.

Book and sit AZ-400 through our own centre

Our Pearson VUE test centre is authorised for Microsoft exams, so booking is handled by the same team that trained you.

40 hours because the exam needs 40 hours

Shorter AZ-400 programs exist in this market. They cover the syllabus and skip the scenario practice, which is precisely where candidates lose marks.

Frequently Asked Questions About Azure DevOps (AZ-400)

What are the prerequisites for AZ-400?

Microsoft requires either AZ-104 or AZ-204 before AZ-400 counts toward the DevOps Engineer Expert certification. You can sit AZ-400 without one, but the credential does not issue until you hold an associate certification.

How difficult is the AZ-400 exam?

It is genuinely difficult, mainly because of case study questions that require you to weigh trade offs. Candidates who memorise features tend to fail. Candidates who understand why a given release strategy suits a given constraint tend to pass.

How long is the training and what is the schedule?

40 hours across 5 modules, usually 8 weeks of evening sessions on PKT. Recent batches have run Wednesday and Friday from 9pm to 11pm.

Does AZ-400 expire?

Microsoft role based certifications require annual renewal, done through a free online assessment on Microsoft Learn. It takes far less effort than the original exam.

Can I take this course from anywhere in Pakistan?

Yes. Live online delivery reaches all of Pakistan and our students frequently join from the Gulf. Only the certification exam itself has to be sat at a test centre, and our advisors can help you arrange a convenient one if Lahore is not practical.

What roles does AZ-400 lead to?

DevOps engineer, release engineer, platform engineer and site reliability engineer in Microsoft centred organisations. Browse related paths in the course catalogue.

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Duration

40hrs

Module

5

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Job-Ready Training

Certification-Ready Programs

Affordable Fees

Comprehensive Course Content

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8

Module

6