AZ-104 → AZ-400 → AIOps Engineering
This master program is built around one clear journey: Azure administration, DevOps delivery, and AIOps-led operations. You first learn to run Microsoft Azure environments through AZ-104, then build modern CI/CD and platform workflows through AZ-400, and finally move into AIOps Engineering with observability, incident response, automation and reliability practices.
Learning Path
Full Syllabus
Click any module to expand topics. Every phase ends with a real-world project.
Phase 1 builds your Azure operations foundation. You learn how to provision, secure, monitor and support Azure resources so you can confidently handle the responsibilities covered in AZ-104 and work like a real Azure administrator from day one.
Topics Covered
Tools Used
Hands-On Lab
Set up a multi-environment Azure tenant with users, groups, resource groups and governance policies.
✓ Outcome: A role-based Azure environment ready for day-to-day administration tasks.
Topics Covered
Tools Used
Hands-On Lab
Deploy and secure a small production-style workload with compute, storage and networking components.
✓ Outcome: A working Azure workload with controlled access, backup and network segmentation.
Topics Covered
Tools Used
Hands-On Lab
Create an operations dashboard with alerts for CPU, storage, service health and failed sign-ins.
✓ Outcome: A practical admin monitoring setup for Azure day-2 operations.
Topics Covered
Tools Used
Hands-On Lab
Build and document an Azure admin environment that covers identity, compute, storage, networking and monitoring.
✓ Outcome: A portfolio-ready Azure administration capstone mapped to AZ-104 outcomes.
Phase 1 Capstone – Azure Administration Environment
Phase 2 takes you from administration into delivery engineering. You learn how teams plan work, manage code, automate builds, ship releases and standardize environments across Azure using modern DevOps practices aligned with AZ-400.
Topics Covered
Tools Used
Hands-On Lab
Set up a team delivery workflow with work items, repo permissions, pull request rules and sprint tracking.
✓ Outcome: A structured DevOps project flow that mirrors real engineering teams.
Topics Covered
Tools Used
Hands-On Lab
Create a multi-stage pipeline that builds, tests and deploys an application across three environments.
✓ Outcome: A repeatable CI/CD workflow with approvals and controlled production release.
Topics Covered
Tools Used
Hands-On Lab
Provision delivery infrastructure as code and ship a containerized app through a release pipeline.
✓ Outcome: A cloud delivery platform that combines IaC, containers and automated deployment.
Topics Covered
Tools Used
Hands-On Lab
Build a complete Azure DevOps delivery workflow from planning to production deployment.
✓ Outcome: A capstone pipeline mapped to AZ-400 delivery and collaboration outcomes.
Phase 2 Capstone – Azure DevOps Delivery Platform
Phase 3 focuses on intelligent operations. You learn how to observe live systems, correlate operational signals, automate responses and improve reliability using Azure-native monitoring, logging and incident automation patterns that define AIOps Engineering.
Topics Covered
Tools Used
Hands-On Lab
Design an observability stack for an Azure application with actionable dashboards and alert rules.
✓ Outcome: A complete monitoring baseline for real platform operations.
Topics Covered
Tools Used
Hands-On Lab
Automate a common production incident flow from alert creation to remediation and notification.
✓ Outcome: A functioning alert-to-action playbook for day-2 cloud operations.
Topics Covered
Tools Used
Hands-On Lab
Build a reliability review pack that tracks health, trends and recurring incidents for a production workload.
✓ Outcome: A data-driven operations model for scaling support and improving uptime.
Topics Covered
Tools Used
Hands-On Lab
Create an AIOps operating model that detects, analyzes and automates response for real service incidents.
✓ Outcome: A production-style AIOps capstone demonstrating monitoring, analysis and remediation.
Phase 3 Capstone – AIOps Operations Hub
Hands-On
Portfolio-ready projects that employers recognise.
Azure Administration Landing Zone
Identity, governance, compute, storage and networking setup aligned to AZ-104 administration tasks.
Operations Monitoring Workspace
Azure Monitor, Application Insights and Log Analytics setup for daily platform administration.
Azure DevOps Team Workflow
Boards, repos, pull requests and release controls for a real project team.
Multi-Stage CI/CD Pipeline
Build, test and deploy through Azure DevOps and GitHub Actions across multiple environments.
Infrastructure-as-Code Release Platform
Provision Azure delivery environments with Bicep and Terraform and connect them to pipelines.
AIOps Operations Hub
Observability, KQL analysis, incident dashboards and automation playbooks for production-style support.
Tech Stack
You Prepare For
AZ-104
Microsoft Azure Administrator Associate
AZ-400
Microsoft DevOps Engineer Expert
AIOps
AIOps Engineering Capstone Portfolio
Bonus — Included Free
After This Program
Entry-Level (0-1 yr) · ₹4-7 LPA
Mid-Level (1-3 yr) · ₹8-16 LPA
Advanced (3+ yr) · ₹18-30 LPA
Ideal For
A clear Microsoft cloud path for learners who want Azure administration first, DevOps second, and operations engineering as the final specialization.
Ideal if you already support infrastructure and want to move into Azure administration, release engineering and cloud operations leadership.
Useful for engineers who want structured exposure to Azure delivery pipelines and then want to specialize in monitoring, incident response and reliability.
FAQ
The program follows one fixed path: AZ-104 first, AZ-400 second, and AIOps Engineering last. You begin with Azure administration, move into DevOps delivery, and then learn observability, incident automation and reliability engineering.
Yes. Phase 1 starts with Azure administration fundamentals and builds upward. The path is designed so that Phase 2 and Phase 3 make sense only after the Azure base from AZ-104 is in place.
Yes. The first two phases are aligned specifically to the responsibilities and scenarios behind AZ-104 and AZ-400. Labs, projects and revision modules are structured around those outcomes.
It covers Azure Monitor, Application Insights, Log Analytics, KQL, alerting, automation runbooks, Logic Apps and reliability workflows so you can operate cloud platforms intelligently instead of just monitoring them passively.
The total master program fee is ₹90,000, split as ₹20,000 for AZ-104, ₹30,000 for AZ-400 and ₹40,000 for AIOps Engineering.
You will finish with three aligned capstones: an Azure administration environment, a DevOps delivery platform and an AIOps operations hub, along with guided preparation for AZ-104 and AZ-400.
Join the Next Batch
Live batches start every month. Only 20 seats per batch — enroll early to secure your spot.