AWS Certified AI Practitioner (AIF-C01)

Who this cert is for

AIF-C01 is aimed at people who need a shared vocabulary for AI/ML and generative AI on AWS — including non-specialists who work with AI projects, early-career technologists, and business stakeholders who must evaluate proposals. It sits earlier on the technical spectrum than Solutions Architect–style exams, and it is more service- and concept-oriented than the business-strategy focus of AIB-C01.

If your day job is writing business cases and governance charters more than designing prompts or choosing foundation-model patterns, start with the AI Business Strategist guide. Many people will eventually want both.

Content domains (official weightings)

Domain 3 is the largest: design considerations for FM-based apps, prompting, training/fine-tuning at a conceptual level, and evaluation methods.

Domain study map

Domain 1 — Fundamentals of AI and ML (20%)

• Explain basic AI/ML terminology (supervised, unsupervised, reinforcement learning at a awareness level).
• Identify practical business and technical use cases.
• Describe the AI/ML development lifecycle (data → train/evaluate → deploy → monitor).

Domain 2 — Fundamentals of Generative AI (24%)

• Core GenAI concepts (foundation models, tokens, embeddings — conceptual).
• Capabilities and limitations for business problems (hallucination, latency, cost, data sensitivity).
• AWS infrastructure and technologies commonly used to build GenAI applications (know the roles of services such as Amazon Bedrock at a catalog level; always defer to the current in-scope service list in the exam guide).

Domain 3 — Applications of Foundation Models (28%)

• Design considerations: retrieval, grounding, latency, cost, safety.
• Prompt engineering techniques and when they fail.
• Training vs fine-tuning vs RAG — what each optimizes for.
• Evaluating FM performance (human eval, automated metrics, business KPIs).

Domain 4 — Guidelines for Responsible AI (14%)

• Fairness, explainability, transparency, and human oversight.
• Why “ship the demo” without guardrails creates organizational risk.

Domain 5 — Security, Compliance, and Governance (14%)

• Securing AI systems (data, access, model endpoints — conceptual).
• Governance and compliance expectations for AI solutions.

Suggested study plan (2–3 weeks)

1. Download/read the official AIF-C01 exam guide PDF and highlight every task statement.
2. Complete AWS Skill Builder’s free digital training path for AI Practitioner (as listed on the cert page).
3. Build a one-page cheat sheet: GenAI failure modes, RAG vs fine-tune decision tree, responsible AI checklist.
4. Take the official practice question set; remediation note for every miss.
5. Skim in-scope vs out-of-scope AWS services in the guide — do not memorize every feature flag.

How this relates to AIB-C01

AIF-C01 asks whether you understand AI/GenAI concepts and AWS-oriented building blocks. AIB-C01 asks whether you can prioritize investments, measure ROI, and govern adoption. Overlap exists in responsible AI and literacy; the judgment style differs.

Official resources

• AWS Certified AI Practitioner (product page)
• Official AIF-C01 exam guide (docs)
• Exam guide PDF (AWS static)