Course Overview
About Course
In today’s fast-paced tech landscape, DevOps bridges development and operations to accelerate software delivery, improve reliability, and foster continuous innovation. Azure DevOps provides a comprehensive, integrated platform—comprising Boards for planning, Repos for source control, Pipelines for CI/CD, Artifacts for package management, and Test Plans for quality assurance. This 40‑hour training program empowers professionals with end-to-end expertise using Azure’s native DevOps toolchain.
Participants begin by understanding DevOps principles and Azure DevOps services. Through hands-on labs, they learn to plan and track Agile workflows, implement Git-based version control, and create CI pipelines that automate builds, tests, and artifact management using YAML syntax. Deployment techniques, including blue/green releases and multi-environment rollouts, are covered in detail.
Building infrastructure via code is a key focus: attendees use ARM templates and Terraform integrated with Azure Pipelines to standardize and automate provisioning. Configuration automation using Ansible or similar tools ensures consistent environments across deployments. To modernize delivery, containerization fundamentals are taught alongside deployments to AKS.
Quality engineering is integral: the program includes modules on integrating unit, integration, and performance testing in pipelines, and utilizing Test Plans and policy gates to enforce code and dependency standards. Monitoring and observability with Azure Monitor and Application Insights enable teams to detect issues early and maintain system health.
Security is woven throughout with DevSecOps best practices: secret management, vulnerability scans, and compliance automation ensure secure software lifecycles. The course culminates in a capstone project where participants design an end-to-end DevOps solution, from code commit to deployment and monitoring.
With mentorship, real-world labs, feedback sessions, and certification prep for AZ‑400, attendees graduate ready to streamline delivery pipelines, enhance code quality, and drive continuous improvement. This immersive journey prepares engineers to lead DevOps transformation and confidently pursue roles as Azure DevOps professionals.
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Course Syllabus
Module 1: Introduction to DevOps & Azure (4 hrs)
- Core concepts: DevOps lifecycle, culture, value‑stream mapping.
- Overview of Azure DevOps services (Boards, Repos, Pipelines, Artifacts, Test Plans).
- Hands-on: Create Azure DevOps org and projects
Module 2: Agile Planning & Source Control (4 hrs)
- Agile methodologies (Scrum/Kanban), work item tracking with Azure Boards
- Version control with Git and Azure Repos; pull requests & branching strategies
Module 3: CI with Azure Pipelines (6 hrs)
- Build pipelines using Azure Pipelines; YAML-based definitions
- Automate builds, tests, code scanning, artifact management via Azure Artifacts
- Hosting build agents: Microsoft-hosted vs self-hosted
Module 4: CD and Release Management (6 hrs)
- Release pipelines: deployment strategies including blue/green, approvals, rollbacks.
- Integrate with Azure App Service, Kubernetes, VMs.
Module 5: Infrastructure as Code (IaC) (5 hrs)
- ARM templates and Terraform integration with Azure DevOps .
- Automate infrastructure provisioning through pipelines.
Module 6: Configuration Management & Containerization (5 hrs)
- Use Ansible or PowerShell DSC for config automation.
- Docker basics and deployment to Azure Kubernetes Service (AKS).
Module 7: Testing & Quality Gates (4 hrs)
- Integrate unit, integration, and load testing in pipelines.
- Use Test Plans for test case management
- Apply quality policies, vulnerability scanning.
Module 8: Monitoring, Logging & Feedback (5 hrs)
- Setup observability with App Insights, Azure Monitor, dashboards
- Implement feedback loops for continuous improvement.
Module 9: DevSecOps & Security (3 hrs)
- Enforce security in pipelines: dependency scans, secret vaults, policies.
- Automate threat detection and compliance checks.
Module 10: Capstone Project (3 hrs)
- Build full end‑to‑end pipelines: code → build → infra → deploy → monitor.
- Team presentations, peer review, and instructor Q&A.
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Key Features
Live, instructor-led sessions with industry expert facilitation and Q&A support
Hands-on labs & real-world projects after each module via Azure DevOps Labs
Exam prep, certification guidance for AZ‑400 (Microsoft DevOps Engineer Expert).
Mini‑projects & peer collaboration to reinforce retention and teamwork.
1‑year access to LMS, recorded sessions, labs, and community forums
Job-readiness support: resume reviews, mock interviews, placement guidance.
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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