How to Choose an AWS Certification: Tracks and Progression Paths
Compare AWS certification levels and role-based paths across architecture, development, operations, data, AI, security, and networking.
AWS certifications can look like a ladder from Foundational to Associate and then Professional, but you do not have to complete every level in order. A better approach is to start with the work you want to do and choose an exam that validates relevant knowledge and skills.
This guide groups common AWS certifications by level and role. Arrows below suggest a learning sequence; they are not exam prerequisites. Exam names, codes, and languages can change, so check the current AWS certification catalog and official exam guides before scheduling.
How do AWS certification levels work?
| Level | What it validates | Examples |
|---|---|---|
| Foundational | Cloud or AI fundamentals, independent of a specific technical role | Cloud Practitioner (CLF-C02), AI Practitioner (AIF-C01) |
| Associate | Core skills for a specific technical role or domain | Solutions Architect (SAA-C03), Developer (DVA-C02), CloudOps Engineer (SOA-C03), Data Engineer (DEA-C01), Machine Learning Engineer (version transition in progress) |
| Professional | Advanced skills for complex systems, operations, or production solutions | Solutions Architect Professional (SAP-C02), DevOps Engineer Professional (DOP-C02), Generative AI Developer Professional (AIP-C01) |
| Specialty | Deep expertise in a specific technical area | Security Specialty (SCS-C03), Advanced Networking Specialty (ANS-C01) |
Levels help indicate exam depth, but they do not replace role fit. Foundational exams are not mandatory entry tickets, and Specialty exams are not required stops after Professional. AWS states that no certification has a mandatory prerequisite exam; exam guides instead recommend relevant knowledge and experience. AWS exam eligibility policy
Choose a path by your goal
New to AWS: build fundamentals or go straight to a role
If cloud concepts, AWS services, and billing are all new, CLF-C02 can provide a broad introduction. If you already have cloud experience, you can start with an Associate exam that matches your work. CLF-C02 is not a required prerequisite for SAA-C03 or other Associate certifications.
- Cloud fundamentals: CLF-C02 guide
- Architecture: SAA-C03 guide
- Application development: DVA-C02 guide
- Cloud operations: SOA-C03 guide
Architecture: SAA-C03 → SAP-C02
SAA-C03 focuses on common AWS architecture scenarios and comparing options under security, availability, performance, and cost constraints. If you want to design more complex, large-scale solutions, consider SAP-C02.
This is a common learning path, not a required exam sequence. If your work is shifting toward large-scale networking or cloud security, you can build the relevant foundation and pursue ANS-C01 or SCS-C03.
Development and operations: DVA-C02, SOA-C03 → DOP-C02
DVA-C02 focuses on developing, deploying, and debugging applications on AWS. SOA-C03 (CloudOps Engineer – Associate) focuses on deploying, monitoring, operating, and maintaining workloads. They validate different day-to-day responsibilities; you do not need both just to complete the Associate level.
If your role spans CI/CD, infrastructure automation, reliable releases, and production operations, consider DOP-C02. Development or operations experience helps, but neither DVA-C02 nor SOA-C03 is a formal prerequisite for DOP-C02.
Data: DEA-C01
DEA-C01 focuses on data ingestion and transformation, data stores, pipeline operations, and security governance. It is aimed at people responsible for data pipelines and platforms. You do not need to complete every architecture, development, and operations Associate exam first.
AI and machine learning: distinguish fundamentals from engineering
AWS AI certifications cover different depths. Start with the work you want to do:
- For AI, ML, and generative AI concepts: AIF-C01.
- For implementing and operating machine learning solutions: check the currently available Machine Learning Engineer – Associate exam version.
- For integrating generative AI applications into production: AIP-C01.
This is not a mandatory ladder from AIF to AIP. AIF focuses on foundational understanding, while ML engineering and generative AI development address different technical tasks. The Machine Learning Engineer exam is in a version transition; availability of the MLA-C02 beta and MLA-C01 can vary by language, so verify the current code, language, and dates. MLA-C01 here means Machine Learning Engineer – Associate, not the retired Machine Learning Specialty (MLS-C01).
Security and networking: choose by specialty
SCS-C03 focuses on AWS security, while ANS-C01 focuses on advanced cloud and hybrid networking. They are Specialty certifications, not the next level every cloud engineer must take. Choose one when your target role calls for deeper work in identity, threat detection, data protection, or large-scale networking.
These exams are not a strict prerequisite chain
Think of AWS certifications as two choices: depth of skill and role focus. Exams at the same level are not prerequisites for one another. Architecture, development, operations, and data Associate certifications validate different skills; Professional and Specialty exams should match your responsibilities, experience, and goals.
For example, CLF-C02 can help newcomers build cloud vocabulary and service awareness, while experienced candidates can go straight to SAA-C03. SAA-C03 provides broad architecture knowledge, but a security engineer does not have to pass it before pursuing SCS-C03. AWS has no mandatory prerequisite exams, although each exam guide lists recommended knowledge and experience. AWS exam eligibility policy
Are retired exams still useful for practice?
Older exam questions can still help you review related services or historical topics, but they do not represent the current certification outline. For example, SOA-C02 was succeeded by SOA-C03 CloudOps Engineer – Associate, and the current Security Specialty exam is SCS-C03, not the legacy SCS-C02. CertDrill also retains retired MLS-C01 (Machine Learning Specialty) practice material; it is a different exam from MLA-C01 (Machine Learning Engineer – Associate). The Machine Learning Engineer certification is in a version transition, so verify current AWS information before studying or scheduling.
You can use older questions to reinforce concepts, but prepare with the current exam code, exam guide, and matching version of practice material. Subjects marked retired on CertDrill should be understood as legacy practice material, not as currently available certification exams.
Ask these three questions before choosing
- What do I work on now? Architecture, development, operations, data, AI, security, or networking?
- Which specific skill do I want to improve? For example, comparing architecture options, maintaining data pipelines, or operating CI/CD workflows.
- Can the current exam guide and practice questions validate that goal? If most objectives are unrelated, choose a better-matched certification.
Pick one path that fits your current work or next goal, then use the official outline and practice to identify gaps. Being able to explain how the material maps to real tasks matters more than collecting certifications.
Use CertDrill to find a subject by exam code and practice.