| Module 1: DevOps Fundamentals |
| Introduction to DevOps |
| DevOps culture, principles and practices |
| Agile, Scrum and Kanban |
| CI, CD and Continuous Deployment |
| DevSecOps |
| DevOps lifecycle |
| Azure DevOps overview |
| Module 2: Azure DevOps Administration |
| Azure DevOps Organization & Projects |
| Users, Teams and Permissions |
| Security Groups |
| Project configuration |
| Dashboards |
| Service connections |
| Agents and Agent Pools |
| Module 3: Azure Boards |
| Work Items |
| Epics, Features, User Stories & Tasks |
| Bugs and Issues |
| Backlogs |
| Sprint planning |
| Kanban Boards |
| Queries |
| Dashboards |
| Delivery Plans |
| Module 4: Git & Azure Repos |
| Git fundamentals |
| Repository creation |
| Clone, Commit, Push & Pull |
| Branching strategies |
| Merge & Rebase |
| Pull Requests |
| Code Reviews |
| Branch Policies |
| Git tags |
| Git hooks |
| GitHub integration |
| Module 5: Azure Pipelines — CI/CD |
| Azure Pipelines fundamentals |
| Build pipelines |
| YAML pipelines |
| Pipeline triggers |
| Variables and Variable Groups |
| Templates |
| Stages, Jobs & Tasks |
| Artifacts |
| Environments |
| Approvals and Checks |
| Multi-stage pipelines |
| Deployment strategies |
| Blue-Green deployment |
| Canary deployment |
| Module 6: Infrastructure as Code |
| Infrastructure as Code concepts |
| ARM Templates |
| Bicep |
| Terraform fundamentals |
| Azure CLI |
| PowerShell |
| Infrastructure deployment through pipelines |
| GitOps concepts |
| Module 7: Containers & Kubernetes |
| Docker fundamentals |
| Dockerfile |
| Container Registry |
| Azure Container Registry |
| Kubernetes fundamentals |
| Azure Kubernetes Service (AKS) |
| CI/CD for containers |
| Deploying applications to AKS |
| Module 8: DevSecOps |
| Security in CI/CD |
| Secret management |
| Azure Key Vault |
| Secure service connections |
| Dependency scanning |
| Code scanning |
| Container security |
| Security gates |
| Compliance and governance |
| Module 9: Monitoring & SRE |
| Azure Monitor |
| Application Insights |
| Log Analytics |
| Alerts |
| Application performance monitoring |
| Release monitoring |
| SRE concepts |
| Reliability and incident management |
| Module 10: AI for DevOps |
| Generative AI Fundamentals |
| Generative AI basics |
| LLM concepts |
| Prompt engineering |
| AI-assisted software development |
| AI governance and responsible AI |
| GitHub Copilot |
| GitHub Copilot fundamentals |
| Copilot Chat |
| Code generation |
| Code explanation |
| Code refactoring |
| Unit-test generation |
| Documentation generation |
| Debugging with AI |
| AI-assisted YAML pipeline creation |
| AI-assisted Azure CLI & PowerShell |
| AI-assisted Bicep/IaC development |
| Module 11: Azure DevOps + AI Agents |
| Agentic AI concepts |
| AI agents in DevOps |
| AI-assisted backlog management |
| AI-assisted code review |
| AI-assisted pipeline troubleshooting |
| AI-based log analysis |
| Natural-language DevOps operations |
| Azure DevOps MCP Server |
| Connecting MCP with VS Code |
| Authentication and permissions |
| AI-assisted work-item management |
| Human-in-the-loop governance |
| Module 12: MLOps |
| Introduction to MLOps |
| ML project lifecycle |
| Git for ML projects |
| Azure Machine Learning |
| ML pipelines |
| Model versioning |
| Model deployment |
| CI/CD for ML |
| Model monitoring |
| Production ML environments |
| Module 13: GenAIOps |
| Generative AI application lifecycle |
| AI application deployment |
| Prompt/version management |
| Evaluation and testing |
| AI monitoring |
| AI application observability |
| AI agents |
| Production AI operations |
| CI/CD for GenAI applications |
Azure DevOps +AI
₹30,000.00
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