AWS certifications

Every certification cheat sheet on this site started as my own study notes. I wrote them while preparing for exams I went on to sit and pass, and I hold every certification covered on this page. That shapes how the notes read: they come from a working cloud infrastructure architect who also speaks at AWS re:Invent, and they concentrate on the services, limits and trade-offs the scenario questions actually probe. None of them contain dumped questions. The AWS collection currently covers four exams: Solutions Architect Associate, Solutions Architect Professional, AI Practitioner, and the Certified Generative AI Developer Professional. Two further posts cover the CKA, for readers whose study plans reach beyond a single cloud.

Here is how I suggest you use the sheets. Skim the headings first to build a map of the exam blueprint. Most sections match a service or a domain, so the skim tells you quickly which areas you can already summarize from memory and which you cannot. Drill the weak areas next: read the section, follow the linked documentation where a topic still feels thin, and come back for a final pass in the last week before your sitting. The sheets compress a lot of material, so pair them with hands-on time in a real account; they assume you have already touched the core services. If you find yourself reading about a service for the first time in a cheat sheet, that is the signal to go build something with it before exam day.

>>> AWS certifications remain highly worth pursuing in the agent era. While AI agents automate basic coding and routine cloud tasks, they still someone to point them on where to focus efforts, prioritize on what to build, and require expert human architects to secure, govern, and orchestrate complex enterprise systems. Certifications validate your ability to design reliable infrastructure and guide AI tools safely.

Certification content lives on freshness. AWS revises exam blueprints, renames services and moves the weight between domains, and notes written against an old exam guide will point you at the wrong things. I treat the sheets as living documents: when an exam guide changes or I re-certify, the sheet gets another pass and a visible updated date. Check that date before you lean on one, and if something looks stale, tell me through the contact page. The newest sheet, for the Generative AI Developer Professional exam, also sits closest to my current work. It covers Bedrock, RAG pipelines and agent architectures, the same ground as theAI agents hub, so the study notes double as a map of the AWS agent stack. The supporting reading below is there because the architect exams reward breadth: multi-account design, IAM mechanics, serverless patterns, landing zones and sustainability all appear in scenario questions, and a focused article the week before the exam beats re-reading a whole whitepaper. Everything here is tagged, and new posts land in the writing feed first.

>>> Start with the AWS Certified Cloud Practitioner and AWS Certified AI Practitioner certifications. They build a strong base in core cloud and AI concepts, security, pricing, and services without requiring deep technical or coding skills. This exam sets a clear path for beginners and helps you understand the whole AWS platform and AI capabiltiies.