AWS certification path planner
Pick your target role and how much AWS experience you have, and get an ordered certification roadmap — which exam to take first, which associate matches your role, and what honestly belongs later. Free, no account needed.
- AWS Certified Cloud Practitioner (CLF-C02)
The foundational exam. It builds the AWS vocabulary and mental model — core services, pricing, the security model — that every associate exam quietly assumes, without needing any hands-on experience first.
Study free - AWS Certified Solutions Architect – Associate (SAA-C03)
The broadest and most-requested associate — it covers designing systems across the whole platform, which makes it the safe default when you don’t yet know which direction you’ll take.
Study free - Later: a Professional or Specialty exam
Once real project experience backs it up, the Professional tier (Solutions Architect or DevOps Engineer) or a Specialty such as Security is the natural next rung. Those exams assume serious hands-on depth — treat them as a milestone to grow into, not something to book next.
Why this order: Foundational first, then your role: Cloud Practitioner gives you the vocabulary and mental model the associate exams assume, so the exam that follows is a far smaller jump. Everything past associate level is a milestone to plan for once hands-on experience backs it up.
The right AWS certification order
If you’re new to AWS, the path is: Cloud Practitioner (CLF-C02) first, then the associate exam that matches your role — Solutions Architect for design, Developer for code, CloudOps for operations. If you already have hands-on AWS experience, skip the foundational exam — no AWS certification has prerequisites — and go straight to that associate. Professional and Specialty exams, and the newer AI and data certifications, come later, once real experience backs them up. The planner above turns your role and experience into that ordered path; the table below shows the path for every role.
| Your goal | New to the cloud | Hands-on AWS already | Later milestone |
|---|---|---|---|
| Just getting into cloud | CLF-C02 → SAA-C03 | SAA-C03 | Professional / Specialty exams |
| Architect / cloud engineer | CLF-C02 → SAA-C03 | SAA-C03 | Professional / Specialty exams |
| Developer | CLF-C02 → DVA-C02 | DVA-C02 | Professional / Specialty exams |
| Operations / SRE / sysadmin | CLF-C02 → SOA-C03 | SOA-C03 | Professional / Specialty exams |
| Data & AI | CLF-C02 → SAA-C03 | SAA-C03 | AI Practitioner, ML Engineer, Data Engineer |
How to plan your AWS certification path
Two questions settle the whole roadmap: how much hands-on AWS time you have, and what you actually want to do. Everything else is ordering.
Let your experience set the starting line
With little or no hands-on AWS time, start with Cloud Practitioner — it exists precisely to be your first exam, and jumping straight to an associate without that foundation is the most common reason people fail. With real AWS experience, skip it: no exam has prerequisites, and the foundational exam would mostly re-test what you already know.
Pick one associate, matched to your role
Architects and generalists take Solutions Architect, developers take Developer, and operations engineers take CloudOps. The three are similar in difficulty — the difference is emphasis, not depth — so the exam feels easiest when its scenarios match your daily work. When nothing points clearly at one, Solutions Architect is the broadest and most-requested associate and the safe default.
Take them in order, one at a time
A path works better than a pile: the vocabulary and study habits from each exam carry straight into the next, and AWS gives a 50% discount voucher toward your next exam when you pass one (a benefit worth confirming in your AWS Certification Account, since AWS sets the terms) — so the sequence can be cheaper as well as easier. You don’t need all three associates; one that maps to where you’re going is the signal that counts.
Leave Professional, Specialty and the AI certs for later
The Professional and Specialty exams assume serious hands-on depth, and AWS’s newer AI and data certifications — AI Practitioner, Machine Learning Engineer, Data Engineer — are specialisations, not starting points. Put them on the roadmap as milestones to grow into once your associate and real project time justify them.