Microsoft Azure DevOps (Az-400)

About this course

Official Microsoft Azure DevOps (AZ-400) Certification Course in Pakistan

The Microsoft Azure DevOps Engineer Expert certification (AZ-400) validates the skills needed to design and implement DevOps practices across people, process, and technology. ITechnets offers official AZ-400 certification training in Pakistan for IT professionals who already hold an Azure Administrator or Azure Developer Associate certification and want to advance into a DevOps engineering role. The course combines expert-led instruction with hands-on labs covering real CI/CD pipelines, source control strategy, and security automation.

Details of Microsoft Azure DevOps (AZ-400) Certification Program

The AZ-400 course at ITechnets is structured around five core modules that mirror the official exam objectives:

Module 1: Design and Implement Processes and Communications: Covers traceability, work-item tracking, feedback cycles, and team collaboration workflows.
Module 2: Design and Implement a Source Control Strategy: Covers branching strategies, pull request workflows, branch policies, and repository management.
Module 3: Design and Implement Build and Release Pipelines: Covers package management, CI/CD pipeline design, testing strategy, and infrastructure as code (IaC).
Module 4: Develop a Security and Compliance Plan: Covers authentication and authorization methods, permissions, roles, and automated security scanning.
Module 5: Implement an Instrumentation Strategy: Covers monitoring configuration, telemetry collection, alerting, and analyzing metrics across a DevOps environment.

Each module is delivered through instructor-led sessions and hands-on labs using real Azure DevOps and GitHub environments, so you graduate with both the certification and practical, on-the-job experience.

Why Choose ITechnets for Microsoft Azure DevOps (AZ-400) Training in Pakistan?

Authorized Pearson VUE Test Center

ITechnets operates its own officially authorized Pearson VUE Test Center on-site in DHA, Lahore, giving AZ-400 candidates a secure, professional environment to sit their official exam right after finishing training, without needing to book a separate testing location.

Practical, Job-Ready Skills in Months

Our AZ-400 course is designed to take you from your existing Azure Administrator or Developer foundation to a certified DevOps Engineer Expert in a matter of weeks, backed by hands-on practical labs covering real CI/CD pipelines and dedicated job placement support once you complete the program.

Industry-Recognized & Partner-Verified Certifications

The AZ-400 course is delivered by instructors with 10+ years of real-world industry experience, and our credentials are recognized across major technology ecosystems, not just Microsoft Azure, but also AWS, CompTIA, and Google Cloud Platform (GCP), giving you a certification portfolio that employers trust.

Frequently Asked Questions related to Microsoft Azure DevOps (AZ-400)

Do I need a prerequisite certification before taking the AZ-400 course?

Yes, Microsoft recommends holding an Azure Administrator Associate or Azure Developer Associate certification before pursuing AZ-400, since the course builds on those foundational skills.

What job roles does the AZ-400 certification prepare me for?

AZ-400 prepares you for roles such as DevOps Engineer, Release Manager, and Site Reliability Engineer working across development and operations teams.

Where can I take my official AZ-400 certification exam in Pakistan?

You can take your official, proctored AZ-400 exam directly at ITechnets’ authorized Pearson VUE Test Center in Lahore, avoiding the need to travel to a separate testing facility.

How long does it take to complete the AZ-400 course?

Most students complete the AZ-400 course and become certification-ready within a few weeks of structured instructor-led sessions and hands-on labs.

Does ITechnets provide job placement support after AZ-400 certification?

Yes, the AZ-400 program includes career guidance and job placement support to help you transition into a DevOps engineering role after certification.

What tools and platforms are covered in the AZ-400 course?

The course covers Azure DevOps, GitHub, Azure Boards, Azure Pipelines, Azure Monitor, and related tools used to design and manage end-to-end DevOps workflows.

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

Job-Ready Training

Certification-Ready Programs

Affordable Fees

Comprehensive Course Content

$ 150

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Duration

40hrs

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