10 labs. A production portfolio, not just notes.
This is a practice-first program. Every lab is built live during a session, so you finish with 10 production-style deliverables and an end-to-end capstone you can showcase.
Everything you build
1. First AIOps tool
Build your first AI-assisted Azure administration tool with Azure CLI resource discovery and an AI-powered resource summary generator.
2. Identity monitoring solution
Build an AI-powered Azure identity monitoring solution with custom RBAC roles and suspicious login detection.
3. Network monitoring system
Develop an intelligent network monitoring system with VNet peering, Storage Private Endpoint and ML-based network anomaly detection.
4. AI-driven autoscaling
Implement AI-driven autoscaling for cloud workloads using VMSS, Container Apps and automated predictive scaling.
5. Storage lifecycle automation
Create intelligent storage lifecycle automation with blob analytics and automated storage tier optimisation.
6. Self-healing cloud platform
Build a complete self-healing cloud platform with custom KQL queries, ML-based metric analysis and self-healing infrastructure.
7. AI incident response assistant
Develop an AI-powered incident response assistant with API Management integration and intelligent routing.
8. AI-assisted IaC pipeline
Automate enterprise infrastructure deployment using AI, with Bicep modules and a CI/CD pipeline in GitHub Actions.
9. AI cost optimisation platform
Build an AI-powered Azure cost optimisation platform with cost analytics and AI cost recommendations.
10. Security advisory platform
Create an intelligent Azure security advisory platform with private endpoints, security hardening and compliance reporting.
Intelligent Enterprise Azure Platform
Bring all ten days together into one production-style Intelligent Enterprise Azure Platform: architected, coded, monitored, secured and operated with AI and ML.
- Container Apps, Functions and Storage
- Service Bus, Event Grid and Key Vault
- Azure Monitor and Application Insights
- Infrastructure as Code and GitHub Actions CI/CD
- AI incident agent and decision engine, Machine Learning across signals
- Self-healing automation with cost and security intelligence
Present the complete architecture, deployment workflow, monitoring strategy, automation pipeline and AI decision engine, a resume-ready platform that mirrors real enterprise AIOps. Finish the labs and capstone to earn a Certificate of Completion.