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Library · platform
Cloud platforms (AWS, Azure, Google Cloud)
The building blocks every cloud shares, how to use them safely from code, and how to design for reliability and cost. Taught on AWS, mapped to Azure and Google Cloud.
AWS appeared in 76% of the Cloud and Network Engineer and 66% of the DevOps and Platform Engineer postings we read; Azure in about half of both; Google Cloud in about a third. Data and AI roles ask for at least one cloud in 40 to 50% of postings.
Learn one cloud properly (AWS is the most requested), then map the ideas to the others. Code examples use boto3 and are tested offline with moto, so you can practise without an account or a bill.
- 1BeginnerHost a static site with a CDN, TLS and your own domain
- 2IntermediateA cloud network and service in Terraform, reviewed like code
- 3AdvancedA cloud cost review with savings you can prove
- 4AdvancedA hub-and-spoke cloud network in Terraform
- 5AdvancedA small cloud data platform on a budget
- 6AdvancedHigh availability and disaster recovery you have tested
- 7AdvancedPass a customer's security review with an LLM deployment
- 8AdvancedShip a model and catch it failing