AZURE DEVOPS

Module 1: AI Agent – GitHub Co-pilot Workspace:
• Introduction to GitHub Co-pilot and setup.
• Integrating Co-pilot for AI-assisted coding in VS Code.
• Generating code, YAML, and scripts using Co-pilot.
• Leveraging Co-pilot for IaC and automation.
Module 2: AI Chatbox – Claude:
• Introduction to Claude AI chatbox.
• Working with Claude for conversational AI.
• Prompt engineering based on specific requirements.
Module 3: AI Deployment – Harness:
• Introduction to Harness CI/CD with AI.
• Building pipelines for intelligent deployments.
• Automated rollback and anomaly detection.
• Deploying applications using Harness.
Module 4: Azure AI Foundry:
• Introduction to Azure AI Foundry.
• Architecture of Azure AI Foundry.
• Building and deploying AI Agents in Azure AI Foundry.
• Integrating AI models into DevOps workflows.
• Working with Hubs, Projects, and AI Playgrounds.
Module 5: Kubectl AI:
• Introduction to Kubectl AI for Kubernetes.
• Using AI – powered natural language commands to manage Kubernetes clusters.
• Enhancing efficiency in Kubernetes operations.
Module 6: AIOps for Cloud & DevOps:
• Understanding AIOps and predictive analytics.
• Implementing AI-driven log analysis and alerting.
• Auto-healing using cloud-native AIOps.
Module 7: AI for IaC:
• Generating and validating Terraform/Ansible code with AI.
• Auto-documentation and linting.
• Policy compliance checks via AI tools.
Module 8: AI for Kubernetes Troubleshooting:
• Why K8s troubleshooting is hard (pods failing, networking issues, scaling problems).
• How AI tools help.
• Kubectl AI Plugins.
• K8sGPT – AI powered troubleshooting for Kubernetes clusters.
• Azure OpenAI + K8s logs for Root Cause Analysis (RCA).
Module 9: GitHub Co-pilot & AI Pair Programming:
• What is GitHub Copilot?
• How to set up Copilot for Powershell, Bash, Terraform, Kubernetes, and YAML files.
• Prompt engineering for DevOps: Writing better prompts for IaC & CI/CD.
Module 10: Azure Cloud Services:
1. Introduction to Azure Cloud Infrastructure:
• Overview of Cloud Technology
• Setting up a free – tier Azure account.
• Understanding subscriptions and tenants.
• Exploring IaaS, PaaS, and SaaS models.
2. Implementing and Managing Azure Networking:
• Overview of Azure Networking.
• Implementing and managing Azure virtual networks.
• Configuring virtual networks, subnets, and connectivity.
• Configuring Virtual Network Region and Global Peering.
• Understanding Azure to on-premises connectivity.
• Deploying Azure Virtual Network Gateway.
• Configuring User Defined Routes (UDR).
• Setting up Azure Virtual Network Gateway with AWS over IPSec VPN.
• Implementing Azure Service Endpoints.
• Understanding Hub and Spoke architecture.
3. Understanding and Configuring Network Security Groups (NSG):
• Overview of Azure NSGs.
• Creating and updating inbound/outbound security rules.
• Understanding NSG rule hierarchy and priority.
• Creating NSG rules with service tags.
• Understanding and creating Application Security Groups (ASG).
4. Implementing & Configuring Azure Virtual Machines:
• Overview of Azure virtual machines.
• Deploying virtual machines via Azure portal and CLI.
• Managing virtual machine storage.
Understanding Availability Sets, Fault Domains, and Update Domains.
• Placing virtual machines in Availability Sets.
5. Designing & Implementing Azure Load Balancing:
• Overview of load balancing.
• Types of Azure load balancers (Basic vs. Standard).
• Configuring Azure Standard Load Balancer.
• Implementing Azure DNS.
• Buying and configuring a domain with GoDaddy.
• Creating DNS zones and records (A, CNAME).
• Load balancing across Availability Sets.
6. Configuring Azure Application Gateway:
• Understanding Azure Application Gateway architecture.
• Configuring path-based routing and SSL offloading.
• Setting up multiple VMs with Application Gateway.
7. Configuring Auto Scaling with Virtual Machine Scale Sets (VMSS):
• Understanding Azure VMSS
• Creating custom VM images for VMSS
• Deploying and stress-testing VMSS
• Observing auto-scaling behavior
8. Planning & Implementing Azure Storage:
• Overview of Azure Storage accounts.
• Understanding Blob Storage and File Shares.
• Configuring Azure FileSync.
• Data migration using Azure Storage Explorer.
• Managing storage permissions.
• Deploying static websites with custom domains
9. Backup & Disaster Recovery:
• Overview of backup and disaster recovery.
• Backing up VMware servers, Azure VMs, and Azure SQL.
• Configuring Azure replication and failover groups.
• Setting up Azure disaster recovery vault.
• Implementing a full BCDR strategy.
10. Planning & Implementing Azure SQL Database:
• Azure SQL Database (PaaS) vs. SQL Database (IaaS).
• Structured vs. unstructured data.
• Understanding DTUs in Azure SQL.
• Configuring global replication and failover groups.
11. Implementing Azure App Services:
• Overview of Azure Web Apps (PaaS).
• Deploying and managing web apps.
• Configuring Azure App Service plans and deployment slots.
• Scaling and ensuring resilience.
12. Configure Diagnostics, Monitoring, and Analytics:
• Setting up Azure monitoring and alerts.
• Using Log Analytics.
• Introduction to Azure Key Vault.
• Creating and managing vaults, secrets, and credentials.
• Integrating vaults with Azure Pipelines.
• Configure and manage VMs, storage, and networks.
• Integrate Key Vault, Log Analytics, and ELK Stack.
• Centralized logging and analytics.
Module 11: Infrastructure as Code (IaC) – Terraform + Checkov:
• Introduction to Terraform and infrastructure automation.
• Installing Terraform.
• Understanding providers, resources, and basic syntax.
• Writing your first Terraform script (main.tf).
• Exploring Terraform Plan, Show, Apply, and Destroy.
• Using Terraform Registry, console, and outputs
1. Terraform Variables & Modules:
• Breaking down main.tf into variables.tf and output.tf.
• Introduction to Terraform modules.
• Creating and using basic modules.
• Exploring module repositories.
2. Terraform with Azure – Lab Part 1:
• Setting up systems for Azure.
• Creating storage accounts and resource groups.
• Managing remote state and data sources.
• Working with state files and templates.
3. Terraform with Azure – Lab Part 2:
• Setting up virtual networks and subnets.
• Configuring NSGs on Azure.
• Checkov Integration:
➢ Introduction & Fundamentals.
➢ Installation & Basic Usage.
➢ Deep Dive into Policies & Rules.
➢ Use Cases & Hands-On Labs.
Module 12: DevOps – Azure DevOps + Gitleaks:
1. Introduction to DevOps:
• Understanding DevOps concepts and history.
• Exploring DevOps methodologies: Agile, Scrum, Waterfall.
2. Azure DevOps Introduction:
• Overview of Azure DevOps Services.
• Setting up a free-tier Azure DevOps account.
• Creating Azure Projects.
• Navigating the Azure DevOps Overview tab.
• Scenario – based interview questions and solutions.
3. Azure Work Item Management:
• Understanding Azure DevOps Boards.
• Creating and managing work items.
• Backing up and migrating work items.
• Customizing iteration paths and board views.
4. Repository Management:
• Introduction to repository management.
• Centralized vs. distributed version control.
• Basic and advanced Git commands (cherry-picking, rebase, stash).
• Git security with Talisman (pre-commit/pre-push hooks).
• Analyzing Talisman reports.
5. Azure Repos:
• Introduction to Azure Repos.
• Creating multi-branch repositories.
• Cloning, forking, and managing commit history.
• Advanced pull request concepts (merge, squash, rebase).
• Tag creation, security, and policies.
6. Azure Service Connections and Agent Pools:
• Understanding service principals and connections.
• Creating service connections.
• Hosted vs. self-hosted agent pools.
• Setting up self-hosted agent pools.
7. YAML and Azure Pipelines:
• YAML syntax and data types.
• Understanding continuous integration (CI).
• Creating build pipelines for ASP.NET, Java Spring Boot, and SQL DACPAC projects.
• Configuring build triggers, variables, and filters.
• Using deployment groups, environments, and task groups.
8. Release Pipelines:
• Understanding continuous deployment and delivery.
• Creating classic and YAML release pipelines.
• Deploying ASP.NET, Java, and SQL DACPAC applications.
• Deployment strategies.
9. Maven and Build Pipeline Security:
• Introduction to Maven for Java builds.
• Setting up SonarQube for static code analysis.
• Integrating SonarQube with Java pipelines.
• Creating custom publish gates and analyzing reports.
10. Azure Artifacts:
• Creating and managing private feeds.
• Packaging and pushing dependencies to feeds.
11. Azure Settings:
• Organization and project settings.
• Azure Active Directory integration.
• Managing permissions, users, groups, and retention policies.
• Gitleaks Integration:
➢ Introduction & Fundamentals.
➢ Installation & Basic Usage.
➢ Configuration & Custom Rules.
➢ Integrating into CI/CD & Developer Workflows.
Module 13: Docker + Trivy:
1. Docker Engine Installation:
• Manual and automated deployment on Ubuntu/CentOS.
• Understanding Docker Desktop vs. Server.
• Version checks and default locations.
2. Docker Architecture:
• Docker daemon, client, registry, and objects.
• Managing images and containers.
• Deploying sample applications (e.g., web servers).
3. Docker Networking:
• Understanding IP, subnets, CIDR, and network types (host, bridge, null, overlay).
• Overview of Docker Network Plugins.
4. Docker Storage:
• Ephemeral vs. persistent storage.
• Bind and volume mounts.
• Building and managing custom images with Dockerfiles.
• Storing images in Docker Hub.
• Trivy Integration:
➢ Introduction & Fundamentals.
➢ Installation & Basic Usage.
➢ Scanning Targets & Advanced Options.
➢ Integrating Trivy into CI/CD & DevSecOps Pipelines.
Module 14: Kubernetes + Security:
• Introduction to Kubernetes.
• Understanding Kubernetes architecture and namespaces.
• Installing and configuring Kubernetes.
• Managing ReplicaSets, Services, Load Balancers, and Ingress.
• Configuring volumes and namespaces.
• Exploring Azure Kubernetes Service (AKS).
Module 15: Ansible Automation:
• Installing and configuring Ansible.
• Managing inventory files and modules.
• Using Ansible Galaxy and Roles.
• Integrating Ansible with Azure DevOps pipelines.
Module 16: Containerization Security & Monitoring:
1. Helm Charts:
• Introduction to Helm Charts.
• Installation and basic commands.
2. Monitoring (Prometheus and Grafana):
• Setting up monitoring stacks.
• Configuring Prometheus and Grafana.
• Analyzing and visualizing metrics.
• Monitoring & Observability:
➢ Introduction & Fundamentals.
➢ Setup & Installation.
➢ Monitoring & Alerting Use-Cases.
➢ Visualization & Dashboards.
Module 19: Python for DevOps:
1. Python Introduction:
• Why Python for DevOps.
• Installing Python and setting up the environment.
• Writing and executing Python scripts.
2. Datatypes, Variables, and Best Practices in Python:
• Understanding Python datatypes (int, float, string, list, tuple, dict, set).
• Variable declaration and best practices.
3. Functions and Modules in Python:
• Defining and calling functions.
• Understanding function arguments (positional, keyword, default).
• Creating and importing modules.
• Using built-in and third-party Python modules.
4. Control Statements and Loops in Python:
• If-else conditions.
• For and while loops.
• Loop control statements (break, continue, pass).
5. File Handling in Python:
• Reading and writing files (open(), read(), write()).
• Working with JSON and CSV files.
• File handling best practices.
6. Python Socket Library:
• Understanding socket programming.
• Creating a simple client-server connection in Python.
7. Docker SDK for Python:
• Introduction to the docker-py library.
• Automating Docker container management using Python.
• Running and managing containers programmatically.
8. Kubernetes with Python:
• Using Python Kubernetes-client SDK.
• Automating Kubernetes deployment using Python.
• Managing Kubernetes resources (pods, deployments, services).
Real-Time Industrial Projects (21+ Projects):
1. Azure Pipelines:
• End-to-end CI/CD pipelines for various applications.
2. Docker:
• Deploying multi-container applications.
3. Kubernetes:
• Deploying custom .NET applications on pods.

4. Terraform:
• Deploying Azure App Service with Terraform.
Course Duration:
• Estimated Duration: 5Months (depending on pace and prior experience).
• Weekly Commitment: Exam, Mock interviews, including lectures, labs, and projects.
Learning Methodology:
• Lectures: Interactive sessions covering theoretical concepts.
• Hands-On Labs: Practical exercises to reinforce learning.
• Real-Time Projects: Industry-relevant projects to build a portfolio.
• Assessments: Quizzes and scenario-based questions to evaluate progress.
• Community Support: Access to forums and instructor Q&A sessions.
Certification:
Upon completion, participants earn the Azure Cloud-DevSecOps Mastery Certificate from V Cube Software
Solutions, validating expertise in Cloud, DevOps, Security Automation, and AI-driven tools.