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Run cloud systems that are affordable, reliable and secure
The route to cloud and DevOps roles. Start by understanding what a cloud estate costs, how reliable it is and who can access it, using a real company's account data, then learn to build and ship infrastructure as code, automate testing and deployment, and keep systems running. Employers hire cloud engineers who can explain a bill and prevent an outage, not just launch servers.
What you'll be able to do
CloudTech Cloud & DevOps Engineer
Complete every required course to earn the track badge, free, with a credential ID anyone can verify.
Start with Python for Data AnalyticsThe cloud itself, and enough code to analyse it.
pandas for analysing bills, utilisation and logs.
About 9 hours
The command line, permissions, processes, SSH, ports, DNS and HTTP, learned by investigating a real-looking server.
About 7 hours
Understand, build and ship cloud systems.
Cloud Fundamentals: Cost, Scaling and Reliability
Cost, rightsizing, scaling, availability and access, on a real-looking company's cloud account.
About 7 hours
Infrastructure as Code with Terraform
Write and review infrastructure as code: plans, dangerous changes, policy checks, drift and the pipeline.
About 7 hours
Dockerfiles, image scanning, secure pipelines, canary releases and the DORA measures, on six months of delivery data.
About 7 hours
Keep systems running in production.
LLM Evaluation and Safety in Production
Release gates, control-limit alerts and blameless postmortems, applied to a live service.
About 7 hours
Observability and Site Reliability
Logs, metrics, traces, SLOs and on-call practice for real systems.
Turn your skills into applications that get interviews.
An ATS-friendly CV and a LinkedIn profile recruiters can find.
1 hr 30 min
One link that shows your cloud reviews and infrastructure code.
1 hr 25 min
Courses marked "In preparation" join the track when they're ready. If you've already earned the track badge by then, you keep it.