🚀DevOps & Cloud

Azure DevOps Training

End-to-end Azure DevOps services (Boards, Repos, Pipelines, Test Plans, Artifacts), Bicep/Terraform IaC, and AKS cluster automation.

★ ★ ★ ★ ★
4.9 (Live Project Training)

Why This Program Stands Out

  • ✓Instructor-Led Live Training with Real-Time Production Labs
  • ✓Hands-on practice across Linux, Docker, Kubernetes, CI/CD, AWS & Terraform
  • ✓Job-Ready Portfolio Building & Resume Optimization
  • ✓End-to-end support from Learning -> Live Projects -> Interviews -> Job Placement
Real-World Projects Included⚙️
🚀

Azure DevOps Training

Hands-on Practice & Production Workflows

Duration
6 - 8 Weeks
Format
Live Online Labs

Our Secret Sauce for Exam and Career Success

💻

Training Mode & Deliverables

Live, 1-to-1, or corporate · Recordings & live labs

📖

Comprehensive Masterclass

Exam-ready + job-ready in one program

⏱️

Flexible Learning Options

Your pace · 24/7 access · Mentor support

🎯

Lifetime Support

Resources, resume & interview prep, placement assistance

Learn DevOps Through Hands-On Practice

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI. Rather than learning isolated command syntax from pre-recorded videos, you build end-to-end continuous integration and continuous delivery (CI/CD) pipelines, orchestrate microservices, and manage resilient cloud infrastructure hands-on.

✓

What You'll Learn

✓Create agile backlogs, sprint boards, and governance tracking with Azure Boards.
✓Build multi-stage YAML pipelines in Azure Pipelines for CI/CD automation.
✓Provision Azure infrastructure declaratively using Azure Bicep and Terraform.
✓Deploy containerized microservices to Azure Kubernetes Service (AKS).
✓Manage security secrets, Azure Key Vault integration, and identity with Azure AD (Entra ID).

DevOps Tools & Technologies

🛠️ Azure Pipelines🛠️ Azure Boards🛠️ Azure Repos🛠️ AKS🛠️ Azure Bicep🛠️ Terraform🛠️ Azure Key Vault🛠️ Docker

Course Curriculum

Module 1: Azure DevOps Architecture & Agile Planning

Organization setup, team permissions, Azure Boards, and work item customization.

Module 2: Version Control with Azure Repos & Git Workflows

Git branching policies, pull request approvals, and repository security.

Module 3: Continuous Integration with Multi-Stage YAML Pipelines

Pipeline triggers, environment variables, self-hosted build agents, and caching.

Module 4: Infrastructure as Code with Bicep & Terraform on Azure

Resource groups, virtual networks, Key Vault, and automated IaC pipelines.

Module 5: Container Deployments on Azure Kubernetes Service (AKS)

Cluster creation, Azure Container Registry (ACR), ingress routing, and Pod scaling.

Module 6: Monitoring & Application Insights

Log Analytics workspaces, Application Insights APM, and metric alerts.

Module 7: Capstone Production Azure Release Project

Automated multi-environment deployment pipeline with manual approval gates.

Who Should Take This Training?

👥Azure Cloud Engineers
👥DevOps Specialists
👥NET & Enterprise Developers
👥Infrastructure Engineers

📋 Prerequisites

  • ✓Fundamental cloud concepts
  • ✓Basic familiarity with Azure Portal
  • ✓Basic Git knowledge
  • ✓Knowledge of IT infrastructure

🎓 Training Format

Instructor-Led Live Online Sessions | 8 Weeks | Flexible Schedules

🏆 Certification Alignment: Microsoft Certified: DevOps Engineer Expert (AZ-400) Alignment & NexGenium Certificate

Projects & Practical Labs

Capstone Lab 1

Enterprise SaaS Continuous Delivery on AKS

Build an automated Azure Pipeline deploying Docker containers to AKS across Dev, Staging, and Prod.

Live Lab Execution
Capstone Lab 2

Infrastructure Automation with Bicep & Azure Key Vault

Codify a complete secure Azure virtual network and App Service environment with Key Vault secrets.

Live Lab Execution

Frequently Asked Questions

Enroll in DevOps Training

Start Your DevOps Learning Journey

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI.