The foundational AWS AI cert

AWS Certified AI Practitioner (AIF-C01): the complete guide

What is the AWS Certified AI Practitioner?

The AWS Certified AI Practitioner is a foundational-level certification: it certifies that you can describe AI, ML, and generative-AI concepts, recognise where each is the right tool for a business problem, and reason about responsible-AI considerations — both in general and on AWS specifically. AWS describes the target candidate as having up to six months of exposure to AI/ML on AWS, someone who uses AI/ML solutions rather than necessarily building them.

That scope is deliberate. The exam guide explicitly puts model development, data and feature engineering, hyperparameter tuning, pipeline building, and the implementation of security or governance controls out of scope for the target candidate. AIF-C01 is a literacy credential: a shared vocabulary across a team adopting AI, not a builder's certificate. The full breakdown of every confirmed exam blueprint — this one alongside the professional and Anthropic exams — lives in the AI certification exam guide.

Exam domains and weights

The exam has five content domains. The weights tell you where the marks are, so they tell you where to spend your prep. Domain 3 — applications of foundation models — is the single heaviest at 28%, and domains 2 and 3 together are over half the scored content.

The domain titles and weights above are confirmed against AWS's official AIF-C01 exam guide. Map your study time to them: a blind spot in the 28% domain costs far more than one in a 14% domain.

Who it's for

AIF-C01 suits people who need credible AI fluency without being the ones writing the code:

• Non-engineers adjacent to AI work — product managers, analysts, project leads, and pre-sales staff who need to speak the language accurately and scope sensibly.
• Engineers early in their AI exposure who want a structured, vendor-aware overview before going deeper.
• Teams standardising vocabulary as they adopt AWS AI services — a common baseline so conversations about Bedrock, SageMaker, and responsible AI land on the same terms.

If you already design and ship production systems, AIF-C01 will feel broad and shallow — that's by design. An experienced AWS engineer can usually skip it and aim straight at the professional-grade exam. The honest ROI question for a senior is covered in which AI certifications are worth it; this page is the what-it-is, that one is the should-you.

Format, cost, pass mark (confirmed vs third-party)

The scoring and structure are stated in AWS's official materials, so they're confirmed:

• Pass mark — 700 on a scaled score of 100–1000, compensatory scoring (you pass on the overall, not per-domain). (Confirmed.)
• Scored content — 50 scored questions, plus 15 unscored pretest questions that don't affect your score (65 total). (Confirmed.)
• Question types — multiple choice, multiple response, ordering, and matching. (Confirmed.)
• Cost — 100 USD, and duration — 90 minutes, per AWS's exam page. (Confirmed on the AWS site; pricing and seat-time can vary by region and date, so reconfirm at registration.)

There is no separate experience prerequisite to sit the exam. AWS recommends — but does not require — roughly six months of exposure to AI/ML on AWS plus familiarity with core services like EC2, S3, Lambda, Bedrock, and SageMaker.

AIF-C01 vs AIP-C01 vs CCA-F

The naming collision here trips people up constantly: AIF-C01 is the foundational AI Practitioner; AIP-C01 is the entirely separate, professional-grade Generative AI Developer exam. One letter apart, very different exams. Here's how the three certs a senior might weigh actually compare.

The two AWS exams are different domains entirely: AIF-C01's five domains (20 / 24 / 28 / 14 / 14) are conceptual and responsible-AI focused; AIP-C01's (31 / 26 / 20 / 12 / 11) are about building and operating on Bedrock. Anthropic's CCA-F sits orthogonally — it's vendor-specific to Claude, scenario-based, and oriented toward agentic architecture. For the side-by-side blueprints with every domain spelled out, see the exam guide; for the Claude exam specifically, the Anthropic certification guide.

How to prepare

Because the exam is broad and conceptual, prep is about coverage and accurate mental models, not deep hands-on:

• Anchor on the weights. Domain 3 (28%) and domain 2 (24%) — foundation-model applications and generative-AI fundamentals — are over half the marks. Start there.
• Get the responsible-AI and governance vocabulary right. Domains 4 and 5 (14% each) reward precise terminology — bias, fairness, transparency, the shared-responsibility model — more than implementation detail.
• Know the AWS service map at a conceptual level. What Bedrock, SageMaker, and the managed AI services are for, not how to wire them.
• Practise the question formats. Multiple response, ordering, and matching items punish partial knowledge — you get credit only for fully correct answers.

If your real target is engineering and architecture work rather than the certificate itself, build the skills directly and let the cert fall out as a checkpoint. That's how AI Architect Academy's curriculum is structured — backward-designed from the job, mapped to the cert domains, every claim cited.

Frequently asked questions

What is the AWS Certified AI Practitioner?

It's AWS's foundational AI certification (exam code AIF-C01). It validates a broad understanding of AI, machine learning, and generative AI concepts and their responsible use, both in general and on AWS. The target candidate uses AI/ML solutions on AWS rather than necessarily building them.

What is AIF-C01?

AIF-C01 is the exam code for the AWS Certified AI Practitioner. Don't confuse it with AIP-C01, which is the separate, professional-grade AWS Certified Generative AI Developer exam — a different level and a different syllabus.

What are the exam domains?

Five: Fundamentals of AI and ML (20%), Fundamentals of Generative AI (24%), Applications of Foundation Models (28%), Guidelines for Responsible AI (14%), and Security, Compliance, and Governance for AI Solutions (14%). The titles and weights are confirmed against AWS's official exam guide.

What is the passing score?

700 out of 1000 on a scaled score (range 100–1000). The exam uses compensatory scoring, so you only need to pass the exam overall — there's no minimum per domain.

How much does it cost?

100 USD, per AWS's exam page, with a 90-minute seat time. Pricing and duration can vary by region and over time, so confirm the current figures when you register.

Is the AWS AI Practitioner worth it?

For AI fluency, team vocabulary, or someone early in their AI exposure, yes — it's a low-cost, well-structured baseline. For a senior engineer aiming at production AI or architecture work, it's broad and shallow; treat it as an on-ramp or credibility checkbox rather than the goal. Our full ROI take is in which AI certifications are worth it.

AIF-C01 vs AIP-C01 — what's the difference?

AIF-C01 is the foundational AI Practitioner (pass mark 700, conceptual and responsible-AI focused). AIP-C01 is the AWS Certified Generative AI Developer – Professional (pass mark 750, about building and operating GenAI apps on Bedrock). Different level, different domains; an experienced AWS engineer can usually skip AIF-C01 and go straight for AIP-C01.