Azure DevOps Certification Training in Gurgaon
Master Azure Cloud and get prepared for Azure official certifications with our role based courses tailored to your specific needs
- Enroll for Cloud Architecture, Developer, Operations, DevOps, AI / ML, Networking and Security Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course

Certification aligned to
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Azure Cloud Certification Overview
This Azure live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across AZURE platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 10+ Azure official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Basic, high-level knowledge of Azure Cloud services and terminology. Ideal starting point for Azure Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy
Familiarity with artificial intelligence (AI), machine learning (ML), and generative AI fundamentals and real-world applications
What is Azure Cloud Fundamentals ?
Azure Certified Cloud Fundamentals are essential for driving AI innovation in software development and testing. They manage the full deployment lifecycle—deploying apps, building and maintaining pipelines for web applications and K8s workflows, and automating development and testing processes. By streamlining workflows and resolving challenges in webapp deployment on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of Azure Certified DevOps?
Azure Certified Cloud Engineers in software development and testing oversees the end-to-end lifecycle of web applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable Data, AI & WebApps Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Azure Certified Cloud Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact Azure Certified Cloud Engineers engineer in software development and testing.”**
Who should take this Azure Certified Cloud Engineers course?
The Azure Certified DevOps Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in software development and testing.
What are the prerequisites of Azure Certified DevOps Engineer Course?
Prerequisites for the Azure Certified DevOps Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background: An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills: Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity: Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, pipeline workflows, Webapp deployment, and automation throughout the course.
What are the prerequisites of Azure Certified DevOps Engineer Course?
- Azure Certified Cloud Engineer
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 3 months | 4 months | 1 month |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Azure DevOps Course Overview
This Azure Cloud Certification training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Azure tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding Azure certification path. You can choose the role(s) that progress your Azure certification journey toward your goals. These learning paths are recommendations, not requirements.
DevOps
Microsoft Certified – Azure DevOps Engineer
Microsoft Certified – Azure DevOps Engineer Expert – Exam- AZ-400
DevOps Introduction
- DevOps Introduction
- DevOps Tools
- Azure DevOps Certification (AZ-400 Badge)
- Introduction to Azure and Cloud Computing
- IaaS, PaaS and SaaS
- Demo on Virtual Machines
- Primer to DevOps - Project lifecycle
- Primer to DevOps - Agile Methodology
- Primer to DevOps - Scrum process
- Primer to DevOps - Development and Operations
- Primer to DevOps - About DevOps
- Azure DevOps Free Account
Azure DevOps Introduction
- Azure DevOps Introduction
- Create Azure DevOps FREE account with understanding on Organization in ADO
- Azure Repos and Azure Pipeline Overview
- Azure Boards Overview
- Azure Artifacts Overview
- Azure DevOps Servicers VS Azure DevOps Server
- Confusion between Azure DevOps, TFS, VSTS, Azure DevOps Server?
- Access Levels in Azure DevOps Services (Subscription)
- Visual Studio Subscription
- Data Protection in Azure DevOps
Configure processes and communications
- Getting started with Azure Boards
- Creating user stories
- Azure Boards
- Work item process
- Adding tasks to user stories
- Now let’s create a sprint
- Creating users
- Using Dashboards
- Using Queries
- Seeing dashboards as another user
- Understanding permissions
- Azure DevOps query permissions
- Azure DevOps Dashboard permissions
- Azure DevOps - Wiki
- Azure DevOps - Delivery plans
- Azure Boards - Integration with Microsoft Teams
- Trying out another project
Azure Boards
- Azure Boards Introduction and Work Items
- Process Templates in ADO (Agile, Scrum, Basic)
- Deep Dive into Process Templates
- Customization of Process Templates Part 1
- Customization of Process Templates Part 2
- Customization of Azure Boards
- Backlogs in Azure Boards
- Sprints in Azure Boards
- Area and Iteration Path | Working with Queries
- Service Hooks in Azure Boards
- Integration with Trello
Azure Repos
- Azure Repos Modules
- Azure Repos Introduction
- Version Control (GIT vs TFVC)
- Azure Repos Import
- Branches in Azure Repos
- Forks in Azure Repos
- Branch Polices Introduction
- Branch Polices Demo
- Branch Locks
- Pull Requests (Squash, Semi Linear, Rebase)
- Tags in Branches
- Which Pull Request to Select?
- Branching Strategy
- Code Review in Azure Repos
- Using APIs in Azure Repos
- Revert Changes in Azure Repos
Azure Pipelines
- Azure Pipelines Introduction
- Enable Classic Editor in your Pipeline
- Create your first Azure Pipelines Part 1
- Create your first Azure Pipelines Part 2
- Granted Pipelines from Azure DevOps
- Continuous Integration in Azure Pipelines
- YAML Pipelines
- .NET Pipeline in Azure Pipelines
- Self-Hosted Agents vs Microsoft Hosted Agents
- Personnel Access Tokens (PAT)
- Configure Self Hosted Agents Part 1 on Windows Machine
- Configure Self Hosted Agents Part 2 on Windows Machine
- Removing Self Hosted agent
- Configuring the Self Hosted Agent on Linux Machine
- Parallel Jobs (Parallelism) in Azure Pipelines
- Parallel Jobs Demo
- Triggers in Build Pipelines
- Predefined Variables and Troubleshooting in Azure Pipelines
- Build Options and Build Number
- Service Connection in Azure Pipelines
- Service Connection with GitHub
- Connect to Azure Active Directory
- Service Connection to Azure from ADO
- Azure Release Pipelines Introduction
- Deploy to App Service
- Continuous Integration and Continuous Deployment (CICD)
- GitHub Repos with Azure Pipelines
- Approvals in Release Pipelines
- Pre Deployment and Post Deployment Gate Part 1
- Pre Deployment and Post Deployment Gate Part 2
- Library Group in Azure Pipelines
- Task Groups
- ARM Templates Introduction
- ARM deployment using Azure Portal
- Delete Resources
- Deploy Resources using Azure Release Pipelines Part 1
- Deploy Resources using Azure Release Pipeline Part 2
- Deployment Groups in Azure Pipelines
- Configure Deployment Group
- Sonar Cloud
- Sonar Cloud Integration with Azure Demo Part 1
- Sonar Cloud with Azure Pipelines
- Technical Debt
- White Source Bolt
- White source Bolt (Mend Bolt) Demo - Working with Azure Pipelines
- White Source Bolt Integration with Azure Pipeline Demo 2
- Azure Key Vault Introduction
- Azure Key Vault Deep Dive
- Key Vaults in Azure Pipelines
- Secure Passwords using Key Vaults (ARM Demo)
- Key Vaults in Azure Pipelines (Using ARM)
- Key Vaults - Outputs
- Deployment Strategies
- Types of Deployment Strategies (Blue Green, Canary etc)
- Deployment Strategy Demo
- Docker Introduction
- Docker File
- Docker Build and Push
- Docker Image in Azure Container Registry
Design and implement build pipelines
- What is Continuous Integration
- About the build process
- About the publish process
- Now going back to continuous integration
- What are Azure Pipelines
- Creating a pipeline
- Triggering the pipeline
- Microsoft hosted agent
- Resolving our issue
- Self-hosted agent
- Lab - Deploying the self-hosted agent
- Lab - Registering the self-hosted agent
- Running the pipeline
- Exploring the work folder
- Deleting your resources
- Security at every stage
- Using the Mend Bolt tool - Setup
- Using the Mend Bolt tool - Usage
- Going back to our base
- Adding unit tests
- Running unit tests in the pipeline
- Code Coverage - Adding unit test
- Code Coverage - Implementation
- Azure Pipelines - GitHub repository
- GitHub status badge
- Azure Pipelines - Classic Editor
- Using Sonar Cloud
- Parallel jobs
- Note on pipeline caching
- Azure Pipelines integration with Microsoft Teams
- Using GitHub Actions
- Installing Jenkins
- Jenkins - Creating a build pipeline
- Jenkins Integration with Azure repos
Design and implement release pipelines
- Understanding deployment
- Azure Web App - Manual deployment
- Azure Web App - Release pipelines
- Multiple stages in the pipeline
- Approvals and Gates
- Lab - Azure pipelines - Gates - Query work items
- Lab - Azure pipelines - Gates - Azure Monitor alerts
- Lab - Azure pipelines - Gates - Azure Policies
- Azure Releases - Manual Intervention
- Lab - Deployment Groups - Setup
- Lab - Deployment Groups - Implementation
- Azure Web App - Azure SQL database
- Lab - Deploying the Azure Web App
- Lab - Azure Pipelines - SQL Database table
- Lab - Azure Pipelines - Azure Web App - Connection string
- Release pipeline - Associate work items
- The next step - Containers
- Revision - Building a Docker image
- Revision - Deploying a container
- Azure Pipeline - Azure Container Registry
- Azure Pipeline - Azure Container Registry - Implementation
- Azure Pipelines - Azure Container Registry - Debugging
- Lab - Azure Container Instance - Release pipelines
- Revision - Deployment to Azure Kubernetes
- Lab - Pipelines - Deployment to Azure Kubernetes
- Lab - Release pipelines - Azure Kubernetes
- Quick Note - Publish Artifacts
- Lab - multi-stage builds
- About Container jobs
- Working with Container jobs
Design and implement Infrastructure as Code
- About managing infrastructure
- About ARM templates
- Lab - ARM Templates - Azure Web App
- Lab - ARM Templates - Azure SQL database
- Lab - ARM Templates - Azure virtual machines
- Modularize templates
- Lab - Nested template
- Lab - Linked template
- Lab - Release pipelines - ARM Templates
- What happens if we run the pipeline again
- Lab - Release pipelines - Deleting resources
- Quick note on deployment to multiple environments
- Lab - Release pipelines - ARM Templates Artifacts
- Lab - ARM Templates - Dynamic Resource creation
- Release pipelines - Dynamic Resources
- Lab - Deploying resources via Azure CLI
- Lab - Release Pipelines - Azure CLI
- About Terraform
- Installing Terraform
- Lab - Creating resources via Terraform
- Lab - Release pipelines - Terraform
- Lab - Azure Release Pipelines - YAML
- Azure Release Pipelines - YAML - ARM Templates
- Desired State Configuration
- Lab - Azure Automation DSC
- Note - File DSC resource
- Using VM extensions
- Lab - Team Services Agent
- Lab - Custom Script Extension
- Virtual Machine Scale Sets
- ARM Template - Virtual machine scale set extension
Azure DevOps Wiki
- Azure DevOps Wiki
Azure Boards Dashboards (Create Lucrative Charts for Visualization)
- Azure Boards Dashboards
- Azure DevOps Dashboards Demo
- Azure DevOps Dashboards Demo Part 2
- Azure DevOps Dashboards Demo Part 3
- Azure DevOps Dashboards Demo Part 4
Azure Artifacts
- Azure Artifacts Modules
- Azure Artifacts Introduction
- Feeds in Azure Artifacts
- Build Artifacts VS Azure Artifacts
- Views
- Upstreams
- Azure Artifacts Demo
- Azure Artifact Demo Part 2
- Azure Artifacts Demo on Views and Upstream
Azure Test Plans
- Azure Test Plans Introduction
- Azure Test Plans Deep Dive
- Testing Types (Manual. Automation, Exploratory)
- Start Free Trial for Azure Test Plans and Create your first Test Plan
- Test Execution
- Azure Test Plans Execution
- Test Execution and Progress Report
- Azure Test Plans Parameters
- Azure Test Plans Parameters Demo
- Configurations
- Azure Test Plans with Pipelines
- Azure Test Plans Test Execution
Deployments, Packages and Test Plans
- The fear of changes
- Blue-Green Deployments
- Azure Web App - Deployment Slots
- Lab - Azure Web App - Deployment Slots
- Lab - Azure Pipelines - Deployment Slots
- Canary deployments
- Azure Traffic Manager
- Lab - Azure Traffic Manager
- Lab - Azure Pipelines - Azure Traffic Manager
- Using a rolling deployment
- Using a Load Balancer
- Lab - Azure Load Balancer - VM Setup
- Lab - Azure Load Balancer - Configuration
- Using the Load Balancer in a pipeline
- Package Management
- Lab - Creating and publishing a package
- Lab - Consuming the package
- Azure Artifacts - Other aspects
- Azure Artifacts - Upstream sources
- Lab - Azure Pipelines - Package Publish
- Pipeline reports
- Note - Flaky tests
- Azure App Config
- Lab - Using Selenium
- Azure Test Plans
- Subscribe to Test Plans Trial
- Creating Test cases
- Running the test cases
- Test and Feedback extension
Develop a security and compliance plan
- Understanding variables
- Lab - More on working with variables
- Defining variables in the pipeline
- Lab - Variable groups - YAML pipelines
- Variable groups - Classic pipelines
- Lab - Azure Key Vault
- Lab - Azure Key Vault - Pipelines
- Azure Key Vault - Variable groups
- Lab - Azure Key Vault - ARM Templates - Static reference
- Lab - Azure Key Vault - ARM Templates - Dynamic reference
- Using OWASP Tool - Build pipeline
- Using OWASP Tool - Release pipeline
- Review of service connections
- Review of personal access tokens
- Note on secure files
- GitHub Code Scanning
Azure DevOps Administration
- Azure DevOps Status Page (To check for any Outages)
- Azure DevOps Usage (Organization)
Implement an instrumentation strategy
- Quick look at the Azure Monitor service
- Azure Monitor - Setting up alerts
- Azure Monitor - Dynamic thresholds
- Log Analytics workspace
- Using a Log Analytics workspace
- Service Map solution
- Virtual Machine Scale Sets Notification
- What are Application Insights
- Example on using Application Insights
- Application Insights - Availability test
- Application Insights - Other feature
- Important note on Application Insights
- Note - Azure Container Instances probes
- Note - Azure DevOps notifications
- Note on IT Service Management Connector
Database Migration from On-Prem to Azure SQL
- Migration Agenda
- What is migration?
- Migration Advantages and Example
- SQL Server and Database creation on Cloud
- Installing SQL on the On-premises
- Download SSMS
- Migration Process and Enabling Sa user
- Migration Demo - 1
- Final Migration
Deployment a microservices app through a CI/CD pipeline with Jenkins K8s & Terraform artifacts.
Project Description : Applications contain 20+ microservices that will be packaged into containers & pushed it to Container Registry (AKS & Azure Container Registry) automatically through the CI/CD pipeline integrates with Terraform scripts that will snip the infrastructure at runtime & also helped the apps to be deployed into higher environments (UAT, Stage & above).
Also Terraform manages the end-to-end Infrastructure deployment life cycle using Terraform workflow and IaC templates.
Automated Ingestion Framework Pipeline (Data MESH on Azure)
The whole Data MESH pipeline will be automated through Jenkins & Terraform where in it deploys the Azure components like Azure BLOB Storage, Functions, Logic Apps into Azure before triggering the data flow through the pipeline. Data will be extracted from the source like contact centers & others & this whole pipeline is realtime pipeline that triggers whenever data arrives from the source into Kafka using Kafka source and sink connecters that triggers the deployment process.
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Microsoft Certified Azure DevOps Engineer Expert – Exam AZ-400 Certification Course.
With the Microsoft Certified Azure DevOps Engineer Expert – Exam AZ-400 Certification Course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- AWS Polly
- Azure Databricks
- Azure SQL Server
- Azure Functions
- Azure App Services
- Azure Logic Apps
- Azure Document DB
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- API Management
- Azure Search
- Azure Moniter

45% - 100%

Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions

Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.

Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.

Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews

Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner

Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Microsoft Certified Azure DevOps Engineer Expert – Exam AZ-400 Certification Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Azure & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Azure DevOps Engineer?
To become a successful Azure DevOps Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Azure implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Microsoft Certified Azure DevOps Engineer Expert – Exam AZ-400 Certification Course Course reviewed by learners?
Our Azure DevOps Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (Azure)
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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