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Azure Devops

  • Expert-led Training
  • Real-time Projects
  • Career Transformation & Guidance
  • 24/7 Support
4.5
Medium
12 Weeks
Register Now

Azure Devops

Modern organizations are rapidly adopting Cloud Computing, DevOps, Artificial Intelligence, and Generative AI to accelerate software delivery, automate operations, and build intelligent applications.

This Azure DevOps & AI Engineering Master Program is designed to help learners master Microsoft Azure, DevOps practices, CI/CD pipelines, Infrastructure as Code (IaC), Containers, Kubernetes, MLOps, Generative AI, and AI application deployment.

By the end of the program, learners will be able to build, automate, deploy, monitor, and scale both traditional and AI-powered applications in enterprise cloud environments.

Program Highlights

✅ 100% Hands-On Training

✅ Real-Time Enterprise Projects

✅ Azure Cloud Labs

✅ DevOps & AI Integration

✅ MLOps Exposure

✅ Resume Building Support

✅ LinkedIn Profile Optimization

✅ Mock Interviews

✅ Certification Preparation

✅ Placement Assistance

Who Can Join This Course?

This course is ideal for:

  • Students
  • Fresh Graduates
  • System Administrators
  • Software Developers
  • Cloud Professionals
  • DevOps Engineers
  • AI Engineers
  • IT Support Professionals

Basic understanding of computers and networking is recommended.

Job Opportunities

  • DevOps Engineer
  • Cloud Engineer
  • Build and Release Engineer
  • Site Reliability Engineer (SRE)
  • Automation Engineer
  • Infrastructure Engineer
  • CI/CD Pipeline Specialist
  • Systems Administrator
  • Platform Engineer
  • Azure Consultant

Course Completion Certificate

This curriculum aligns with skills needed for:

  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Microsoft Certified: Azure Administrator Associate (AZ-104)
  • Microsoft Certified: DevOps Engineer Expert (AZ-400)
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)

Course Curriculum

Cloud Computing Fundamentals

  • What is Cloud Computing?
  • IaaS, PaaS, SaaS
  • Public, Private & Hybrid Cloud

Microsoft Azure Fundamentals

  • Azure Architecture
  • Azure Global Infrastructure
  • Azure Regions & Availability Zones

Azure Services Overview

  • Compute Services
  • Storage Services
  • Networking Services
  • Security Services

Hands-On Labs

  • Azure Portal Navigation
  • Resource Group Creation
  • Virtual Machine Deployment

Outcome

Understand cloud concepts and Azure ecosystem fundamentals.

  • Azure Compute Services

    • Virtual Machines
    • VM Scale Sets
    • App Services

    Azure Storage

    • Blob Storage
    • File Storage
    • Disk Storage

    Azure Networking

    • Virtual Networks (VNet)
    • Subnets
    • NSG (Network Security Groups)
    • Load Balancers

    Azure Monitoring

    • Azure Monitor
    • Log Analytics

    Outcome

    Manage Azure infrastructure and services effectively.

Git Fundamentals

  • Git Architecture
  • Repository Management

Git Commands

  • Clone
  • Commit
  • Push
  • Pull
  • Merge

Branching Strategies

  • Feature Branching
  • GitFlow
  • Pull Requests

GitHub & Azure Repos

  • Repository Management
  • Collaboration Workflows

Outcome

Manage source code using modern version control practices.

Introduction to DevOps

  • DevOps Culture
  • DevOps Lifecycle

Azure DevOps Services

  • Azure Boards
  • Azure Repos
  • Azure Pipelines
  • Azure Artifacts
  • Azure Test Plans

Agile & Scrum Basics

  • Sprint Planning
  • Work Item Tracking

Outcome

Understand DevOps practices and Azure DevOps platform.

Build Automation

  • Build Pipelines
  • YAML Pipelines

Automated Testing

  • Unit Testing
  • Build Validation

Code Quality

  • Static Code Analysis
  • Security Scanning

Practical Labs

  • CI Pipeline Creation
  • Automated Build Deployment

Outcome

Create automated build and validation workflows.

Release Management

  • Release Pipelines
  • Deployment Strategies

Deployment Techniques

  • Blue-Green Deployment
  • Canary Deployment
  • Rolling Deployment

Environment Management

  • Development
  • Testing
  • Production

Outcome

Automate software deployment processes.

IaC Fundamentals

  • Benefits of IaC
  • Automation Concepts

Terraform

  • Terraform Architecture
  • Providers
  • Resources
  • Variables

Azure Resource Manager (ARM)

  • ARM Templates
  • Bicep Fundamentals

Practical Labs

  • Automated Infrastructure Provisioning

Outcome

Automate cloud infrastructure deployment.

Docker Fundamentals

  • Containers vs Virtual Machines
  • Docker Architecture

Docker Operations

  • Docker Images
  • Docker Containers
  • Docker Compose

Container Best Practices

  • Image Optimization
  • Security Practices

Practical Labs

  • Containerizing Applications

Outcome

Build and manage containerized applications.

Kubernetes Fundamentals

  • Cluster Architecture
  • Pods
  • Services
  • Deployments

AKS

  • Azure Kubernetes Service
  • Cluster Management

Scaling Applications

  • Horizontal Scaling
  • Auto Scaling

Monitoring Kubernetes

  • Logs
  • Metrics

Outcome

Deploy and manage applications at scale.

Azure Monitoring

  • Azure Monitor
  • Application Insights

Logging

  • Centralized Logging
  • Log Analytics

Security Fundamentals

  • Identity Management
  • Azure Active Directory
  • Role-Based Access Control (RBAC)

DevSecOps

  • Security in CI/CD
  • Vulnerability Management

Outcome

Implement monitoring and security best practices.

Introduction to AI

  • AI Concepts
  • Machine Learning Overview
  • Deep Learning Overview

AI Ecosystem

  • Data Science
  • NLP
  • Computer Vision
  • Generative AI

AI Use Cases

  • Business Automation
  • Predictive Analytics
  • AI Assistants

Outcome

Understand AI technologies and enterprise applications.

Generative AI Fundamentals

  • Large Language Models (LLMs)
  • AI Assistants

Azure AI Services

  • Azure AI Studio
  • Azure OpenAI Service
  • Azure Cognitive Services

Prompt Engineering

  • Prompt Design
  • Prompt Optimization

AI Applications

  • Content Generation
  • Chatbots
  • Knowledge Assistants

Outcome

Develop AI-powered applications using Azure services.

MLOps Fundamentals

  • Model Lifecycle
  • Model Versioning

Azure Machine Learning

  • Azure ML Workspace
  • Model Training
  • Model Deployment

CI/CD for AI

  • Automated Model Deployment
  • Model Monitoring

AI Governance

  • Responsible AI
  • Model Explainability

Outcome

Deploy and manage AI models using MLOps practices

AI Agents

  • Agent Architecture
  • Agent Workflows

Agentic AI Concepts

  • Planning
  • Reasoning
  • Tool Usage

AI Automation

  • Business Process Automation
  • Intelligent Workflows

Multi-Agent Systems

  • Agent Collaboration
  • Enterprise Use Cases

Outcome

Build intelligent AI agents and automated business solutions.

🤖 AI-Powered Customer Support System

Deploy an enterprise chatbot using Azure OpenAI.

📊 Intelligent Business Dashboard

Create AI-generated insights for business reporting.

☁️ Azure DevOps CI/CD Platform

Build a complete enterprise deployment pipeline.

🛒 AI Sales Assistant

Develop a Generative AI assistant for customer engagement.

🚀 AKS Production Deployment

Deploy scalable applications using Kubernetes and Azure.

🔄 MLOps Pipeline Project

Build an automated machine learning deployment pipeline.

🏢 Agentic AI Workflow System

Develop AI agents that automate business processes.

Outcome

Gain real-world project experience aligned with enterprise environments.

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