Course Description

The Azure DevSecOps with Integrated AI & Python program is a comprehensive, industry-focused training course designed to prepare learners for modern Cloud, DevOps, and DevSecOps careers. The curriculum combines Microsoft Azure, DevOps methodologies, Infrastructure as Code (IaC), containerization, Kubernetes orchestration, AI-powered automation, and Python scripting into a structured learning path aligned with current enterprise standards.

Throughout the course, participants will gain practical experience in designing, deploying, automating, monitoring, and securing cloud-native applications using industry-leading tools such as Azure DevOps, Docker, Kubernetes (AKS), Terraform, Ansible, GitHub Copilot, Azure AI Foundry, Harness, SonarQube, Checkov, Trivy, Gitleaks, and ELK Stack. Every concept is reinforced through hands-on labs, enterprise-grade projects, and real-world deployment scenarios.

The program emphasizes practical implementation over theory, enabling learners to build CI/CD pipelines, automate infrastructure provisioning, secure cloud environments, implement DevSecOps best practices, and leverage AI to improve productivity, troubleshooting, and operational efficiency. By the end of the course, participants will possess the skills required to confidently work as Azure Cloud Engineers, DevOps Engineers, Site Reliability Engineers (SRE), Platform Engineers, or DevSecOps Engineers.

Course Outline

Module 1: AI Agent – GitHub Copilot Workspace

• Introduction to GitHub Copilot and Setup
• Integrating Copilot for AI-Assisted Coding in VS Code
• Generating Code, YAML & Scripts using Copilot
• Leveraging Copilot for Infrastructure as Code (IaC) & Automation

Module 2: AI Chatbox – Claude

• Introduction to Claude AI
• Working with Claude for Conversational AI
• Prompt Engineering based on Real-Time Requirements

Module 3: AI Deployment – Harness

• Introduction to Harness CI/CD with AI
• Building Intelligent Deployment Pipelines
• Automated Rollback & Anomaly Detection
• Deploying Applications using Harness

Module 4: Azure AI Foundry

• Introduction to Azure AI Foundry
• Azure AI Foundry Architecture
• Building & Deploying AI Agents
• Integrating AI Models into DevOps Workflows
• Working with Hubs, Projects & AI Playgrounds

Module 5: Kubectl AI

• Introduction to Kubectl AI
• AI-Powered Kubernetes Management
• Natural Language Kubernetes Operations
• Improving Cluster Management Efficiency

Module 6: AIOps for Cloud & DevOps

• Introduction to AIOps
• Predictive Analytics
• AI-based Log Analysis
• Intelligent Alerting
• Auto-Healing
• Cloud-Native Operations

Module 7: AI for Infrastructure as Code (IaC)

• AI Generated Terraform Code
• AI Generated Ansible Playbooks
• Infrastructure Documentation
• Code Validation
• Policy Compliance Checks

Module 8: AI for Kubernetes Troubleshooting

• Kubernetes Troubleshooting Fundamentals
• Common Cluster Issues
• Kubectl AI Plugins
• K8sGPT
• Azure OpenAI Log Analysis
• Root Cause Analysis (RCA)

Module 9: GitHub Copilot & AI Pair Programming

• Introduction to GitHub Copilot
• Copilot for Bash
• Copilot for PowerShell
• Copilot for Terraform
• Copilot for Kubernetes YAML
• Prompt Engineering for DevOps
• AI Pair Programming Best Practices

Module 10: Microsoft Azure Cloud Services

10.1 Azure Cloud Infrastructure

• Cloud Computing Overview
• Azure Portal
• Azure Free Tier Setup
• Azure Subscription Management
• Azure Tenants
• IaaS
• PaaS
• SaaS

10.2 Azure Networking

• Azure Virtual Networks
• Subnets
• Virtual Network Peering
• Global Peering
• Azure VPN Gateway
• User Defined Routes (UDR)
• AWS to Azure IPSec VPN
• Azure Service Endpoints
• Hub & Spoke Architecture

10.3 Network Security

• Network Security Groups (NSG)
• NSG Rules
• Inbound & Outbound Rules
• Service Tags
• Application Security Groups (ASG)

10.4 Azure Virtual Machines

• Azure VM Deployment
• Azure CLI
• VM Storage
• Availability Sets
• Fault Domains
• Update Domains

10.5 Azure Load Balancer & DNS

• Azure Load Balancer
• Basic vs Standard Load Balancer
• Azure DNS
• Custom Domains
• DNS Zones
• A Records
• CNAME Records

10.6 Azure Application Gateway

• Application Gateway Architecture
• Path Based Routing
• SSL Offloading
• Multi-VM Deployment

10.7 Azure VM Scale Sets (VMSS)

• Virtual Machine Scale Sets
• Custom VM Images
• Auto Scaling
• Performance Testing

10.8 Azure Storage

• Azure Storage Accounts
• Blob Storage
• Azure File Shares
• Azure File Sync
• Azure Storage Explorer
• Storage Permissions
• Static Website Hosting

10.9 Backup & Disaster Recovery

• Azure Backup
• Azure Site Recovery
• Azure SQL Backup
• VMware Backup
• Replication
• Failover Groups
• Disaster Recovery Vault
• Business Continuity & Disaster Recovery (BCDR)

10.10 Azure SQL Database

• Azure SQL Database
• SQL Database (IaaS vs PaaS)
• Structured & Unstructured Data
• DTUs
• Replication
• Failover Groups

10.11 Azure App Services

• Azure App Services
• App Service Plans
• Deployment Slots
• Web App Deployment
• Scaling & High Availability

10.12 Monitoring & Analytics

• Azure Monitor
• Log Analytics
• Azure Key Vault
• Secrets Management
• Azure Pipelines Integration
• VM Monitoring
• Storage Monitoring
• Network Monitoring
• ELK Stack Integration
• Centralized Logging & Analytics

Module 11: Infrastructure as Code (Terraform + Checkov)

Terraform Fundamentals

• Introduction to Terraform
• Installation & Setup
• Providers
• Resources
• Terraform Syntax
• main.tf
• Terraform Plan
• Terraform Show
• Terraform Apply
• Terraform Destroy
• Terraform Registry
• Terraform Console
• Outputs

Terraform Variables & Modules

• Variables
• Output Files
• Terraform Modules
• Module Repositories

Terraform with Azure

• Resource Groups
• Storage Accounts
• Remote State
• Data Sources
• State Files
• Templates
• Virtual Networks
• Subnets
• Network Security Groups

Checkov

• Introduction
• Installation
• Basic Usage
• Policies & Rules
• Hands-on Labs
  
  

  Module 12: Azure DevOps, CI/CD & DevSecOps

  Azure DevOps Fundamentals

  • Introduction to DevOps
  • DevOps Lifecycle & Best Practices
  • Agile, Scrum & Continuous Delivery
  • Azure DevOps Services Overview
  • Azure Organizations & Projects
  • Azure Boards & Work Item Management

  Azure Repositories (Azure Repos)

  • Git Fundamentals
  • Repository Management
  • Branching Strategies
  • Pull Requests
  • Merge & Rebase
  • Repository Security
  • Branch Policies

  Azure Pipelines (CI/CD)

  • Introduction to CI/CD
  • YAML Pipelines
  • Build Pipelines
  • Release Pipelines
  • Pipeline Variables
  • Pipeline Templates
  • Multi-Stage Pipelines
  • Deployment Strategies
  • Blue-Green Deployment
  • Canary Deployment
  • Rolling Deployment

  Azure Artifacts

  • Package Management
  • Private Feeds
  • Maven & npm Feeds
  • NuGet Packages
  • Universal Packages

  Azure Test Plans

  • Test Planning
  • Manual Testing
  • Automated Testing
  • Test Suites
  • Test Execution
  • Test Reporting

  Azure DevOps Administration

  • Service Connections
  • Agent Pools
  • Self-Hosted Agents
  • Variable Groups
  • Environment Management
  • Azure Active Directory Integration
  • User & Permission Management

  Build Security & Code Quality

  • Maven Integration
  • SonarQube Integration
  • Static Code Analysis
  • Quality Gates
  • Security Scanning
  • Build Validation

  Secrets Management

  • Azure Key Vault Integration
  • Secure Variables
  • Certificates
  • Secrets Management
  • Service Principals

  Gitleaks Integration

  • Introduction to Gitleaks
  • Installation & Configuration
  • Secret Detection
  • Custom Rules
  • Git Hooks
  • CI/CD Integration
  • Enterprise Security Best Practices

  Real-Time Hands-on Labs

  • Build End-to-End CI Pipeline
  • Deploy Multi-Stage CD Pipeline
  • Integrate SonarQube
  • Configure Azure Key Vault
  • Integrate Gitleaks
  • Secure Enterprise DevOps Pipeline
  • Deploy Applications to Azure using Azure DevOps
  
  

  Module 13: Docker & Containerization

  Docker Fundamentals

  • Introduction to Docker & Containerization
  • Docker Architecture
  • Installing Docker Engine (Windows, Linux & macOS)
  • Docker Desktop vs Docker Engine
  • Docker CLI Commands
  • Docker Images & Containers
  • Docker Hub & Private Registries

  Docker Image Management

  • Creating Docker Images
  • Dockerfile Best Practices
  • Multi-Stage Docker Builds
  • Docker Compose
  • Docker Volumes
  • Docker Networks
  • Environment Variables
  • Docker Registry Management

  Container Security with Trivy

  • Introduction to Trivy
  • Container Vulnerability Scanning
  • Image Security Analysis
  • Secret Detection
  • Configuration Scanning
  • Trivy Integration with CI/CD Pipelines
  • Docker Security Best Practices

  ---

  Module 14: Kubernetes & Azure Kubernetes Service (AKS)

  Kubernetes Fundamentals

  • Introduction to Kubernetes
  • Kubernetes Architecture
  • Cluster Components
  • Pods
  • ReplicaSets
  • Deployments
  • Services
  • Namespaces
  • ConfigMaps
  • Secrets

  Kubernetes Administration

  • Ingress Controllers
  • Volumes & Persistent Storage
  • RBAC
  • Resource Quotas
  • Autoscaling
  • Rolling Updates
  • Rollbacks
  • Helm Package Manager

  Azure Kubernetes Service (AKS)

  • AKS Cluster Deployment
  • AKS Networking
  • Azure Container Registry Integration
  • Scaling AKS Clusters
  • Production Deployments
  • Kubernetes Security Best Practices

  ---

  Module 15: Infrastructure Automation with Ansible

  Ansible Fundamentals

  • Introduction to Ansible
  • Installing & Configuring Ansible
  • Inventory Management
  • Ad-Hoc Commands
  • Playbooks
  • Variables
  • Roles
  • Ansible Galaxy
  • Templates
  • Conditionals & Loops

  Azure Automation

  • Azure VM Provisioning
  • Configuration Management
  • Infrastructure Automation
  • Ansible with Azure DevOps
  • Enterprise Automation Workflows

  ---

  Module 16: Monitoring, Logging & Observability

  Helm Charts

  • Helm Installation
  • Helm Repository
  • Chart Creation
  • Package Management
  • Versioning
  • Helm Upgrades & Rollbacks

  Monitoring with Prometheus & Grafana

  • Installing Prometheus
  • Grafana Dashboard Creation
  • Metrics Collection
  • Alert Manager
  • Performance Monitoring
  • Infrastructure Monitoring
  • Kubernetes Monitoring

  Logging & Observability

  • Azure Monitor
  • Log Analytics
  • ELK Stack
  • Centralized Logging
  • Dashboard Creation
  • Alert Configuration
  • Incident Analysis

  ---

  Module 17: Python for Cloud & DevOps Automation

  Python Fundamentals

  • Python Installation
  • Variables & Data Types
  • Operators
  • Control Statements
  • Loops
  • Functions
  • Modules
  • Exception Handling

  Automation using Python

  • File Handling
  • JSON & YAML Processing
  • REST API Automation
  • Python Requests Library
  • OS Automation
  • Process Automation
  • Logging

  Cloud Automation

  • Azure SDK for Python
  • Docker SDK
  • Kubernetes Python SDK
  • Infrastructure Automation Scripts
  • DevOps Automation Projects

  ---

  Module 18: Real-Time Industry Projects

  Enterprise Projects

  • Azure Infrastructure Deployment
  • Enterprise CI/CD Pipeline
  • Azure DevOps End-to-End Project
  • Docker Multi-Container Application
  • Azure Kubernetes Service Deployment
  • Terraform Infrastructure Automation
  • Infrastructure Security using Checkov
  • Container Security using Trivy
  • Secret Detection using Gitleaks
  • Kubernetes Monitoring using Prometheus & Grafana
  • Azure Backup & Disaster Recovery
  • Azure Networking Implementation
  • Azure SQL Deployment
  • Azure App Service Deployment
  • Azure Key Vault Integration
  • Infrastructure Automation using Ansible
  • AI-Powered DevOps Automation
  • Banking Domain DevOps Project
  • E-Commerce Cloud Deployment
  • Microservices Deployment
  • Enterprise Capstone Project

  ---

  Course Completion

  Duration

  • 5 Months
  • Live Instructor-Led Training
  • Practical Lab Sessions
  • Weekend Mock Interviews
  • Weekly Assessments

  Learning Methodology

  • Interactive Classroom Sessions
  • Hands-On Cloud Labs
  • Real-Time Industry Projects
  • Scenario-Based Learning
  • Code Reviews
  • Interview Preparation
  • Resume Building
  • Placement Assistance

  Certification

  Upon successful completion, learners will receive the Azure DevSecOps with AI & Python Professional Certification from SIRI AI TECH HUB, validating expertise in Microsoft Azure, DevOps, DevSecOps, Kubernetes, Docker, Terraform, Ansible, AI-Powered Automation, Python, Cloud Security, and Enterprise CI/CD.