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Free Cloud & AI Certification Cheat Sheets (AWS, Azure, GCP, CKA, AI) — Curated GitHub Repo 🚀

#aws #azure #gcp #cloud

Preparing for cloud and AI certifications often means drowning in 80-page whitepapers, fragmented documentation, and outdated exam tips.

To help developers, SREs, and DevOps engineers review high-yield concepts in minutes instead of hours, I put together an open-source study collection:

👉 GitHub Repository: awesome-cloud-certification-cheatsheets

What’s Included?

The repository organizes quick-reference cheat sheets, decision trees, and interactive question sets across 5 key learning tracks:

1. AWS Certifications

  • Solutions Architect Associate (SAA-C03): S3 storage tiers comparison, VPC peering vs Transit Gateway vs PrivateLink, DynamoDB vs Aurora architecture patterns.
  • Developer Associate (DVA-C02) & SysOps (SOA-C02): Lambda concurrency/lifecycle, API Gateway throttling, CloudWatch alerting patterns.
  • AWS Certified DevOps Engineer Professional (DOP-C02): Multi-account CI/CD pipelines, CodePipeline deployment strategies, Control Tower governance.

2. Microsoft Azure

  • Azure Fundamentals (AZ-900): Cloud concepts, pricing calculators, core compute/storage/governance services.
  • Azure Administrator (AZ-104): Virtual network routing, NSGs, Entra ID (formerly Azure AD) tenant management, storage replication rules.
  • Azure Solutions Architect (AZ-305): High-availability architectures, disaster recovery targets (RPO/RTO), enterprise hybrid connectivity.

3. Google Cloud Platform (GCP)

  • Associate Cloud Engineer (ACE): gcloud command essentials, IAM roles and service account impersonation, Cloud Run vs GKE trade-offs.
  • Professional Cloud Architect (PCA): Enterprise landing zones, Shared VPC networking, Anthos hybrid topologies.

4. Kubernetes & Linux Foundation

  • Certified Kubernetes Administrator (CKA): High-frequency kubectl imperative commands, cluster upgrade checklists (kubeadm), troubleshooting pods/nodes under time pressure.
  • HashiCorp Certified Terraform Associate (003): State file backends, module composition rules, lifecycle meta-arguments, CLI commands.

5. AI & Generative AI Certifications

  • AWS Certified AI Practitioner (AIF-C01): Foundational LLM concepts, Amazon Bedrock guardrails, RAG architectures.
  • NVIDIA & Generative AI Essentials: Fine-tuning vs LoRA vs RAG, GPU memory sizing, inference deployment considerations.

Key Takeaways in Each Guide

Every cheat sheet focuses on the distinctions certification exams love to test:

  • Cost optimization decision matrices (e.g., S3 Glacier Flexible vs Instant Retrieval vs Deep Archive)
  • Networking routing priority and DNS failover strategies
  • Security least-privilege policies and service role delegations
  • Interactive practice questions linked directly from Cloudoku to test retention without signing up

Contributing & Feedback

This is an open community project. If you spot outdated service limits, newly updated exam syllabus topics, or want to contribute a cheat sheet for a certification not listed yet:

  1. Star the repo to bookmark it for your study prep ⭐
  2. Submit a PR or open an issue on GitHub

What certification are you targeting next? Drop your thoughts or suggestions in the comments!

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