School S06 · F01
Cloud & DevOps Engineering
Multi-cloud infrastructure augmented by AI.
Trains platform engineers to run reliable, secure, cost-efficient infrastructure across AWS, GCP, Azure and edge platforms — with AI copilots as first-class teammates.
Learning outcomes
What graduates can do.
- 01Design multi-region, multi-cloud architectures
- 02Automate CI/CD, IaC and progressive delivery
- 03Instrument SLIs/SLOs and lead incidents
- 04Drive cloud cost down 30–70%
Curriculum
10 courses.
Delivered as a portfolio-based sequence. Every course culminates in shipped work reviewed by working practitioners.
- 01Cloud Foundations (AWS · GCP · Azure)
- 02Infrastructure as Code (Terraform · Pulumi)
- 03Kubernetes in Production
- 04Progressive Delivery & GitOps
- 05Observability (OpenTelemetry, Grafana, Datadog)
- 06Incident Response & Postmortems
- 07Security in the Cloud
- 08FinOps & Cloud Cost Engineering
- 09Edge Compute (Cloudflare, Fly.io)
- 10Capstone: Ship a Multi-Region Platform
Tools & technologies
TerraformKubernetesAWSGCPCloudflareGrafanaGitHub Actions
Career tracks
- Platform Engineer
- DevOps Lead
- SRE
- Cloud Architect
Featured programs
Flagship programs anchored in this school.
P03Advanced
Cloud Engineering with AI
Multi-cloud infrastructure powered by AI copilots.
16 weeks · 18 ECTS · Cohort
P09Advanced
DevOps Engineering with AI
CI/CD, observability and platform engineering augmented by AI.
12 weeks · 14 ECTS · Cohort
P22Advanced
Cloud & DevOps with AI
AI-accelerated platform engineering, from CI to on-call.
14 weeks · 15 ECTS · Cohort
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