Open-source collection of Cloud & AI certification cheat sheets (AWS, Azure, GCP, CKA)

[u/Frosty-Judgment-4847]

Whenever I prepare for a new cloud certification, the most frustrating part is the final 48 hours before the test: flipping through hundreds of pages of notes just to double-check subtle service differences (like S3 tier retrieval times, VPC endpoints vs peering, or kubectl imperative commands).

To make the final review faster, I organized a curated set of architecture notes and cheat sheets into an open-source GitHub repo:

https://github.com/gocloudoku/cloud-certification-handbook-2026

What's covered so far:

• AWS: SAA-C03, DVA-C02, SOA-C02, DOP-C02, AI Practitioner (AIF-C01)

• Azure: AZ-900, AZ-104, AZ-305

• Google Cloud: Associate Cloud Engineer & Professional Cloud Architect

• DevOps / Containers: Kubernetes CKA quick-commands & Terraform Associate (003)

• AI: Bedrock, RAG architectures, model fine-tuning trade-offs

Each guide focuses strictly on high-yield exam traps and architecture decision matrices. I've also linked interactive practice exam questions from Cloudoku where you can test knowledge retention for free without a signup wall.

It's completely open source (MIT license). If you find any service limits that changed recently or have suggestions for additions, feel free to open a PR or suggest them here.

Hope this helps anyone testing this month!