CertLabProAWS Certified AI Practitioner
270道练习题
最后审核：April 2026
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The AWS Certified AI Practitioner (AIF-C01) is a foundational-level credential introduced by AWS in October 2024 to validate practical understanding of AI, machine learning, and generative AI services on AWS. It targets non-engineering roles — product managers, business analysts, sales engineers, and technical decision-makers — as well as developers stepping into the AWS AI ecosystem for the first time. The exam is heavy on conceptual fluency rather than hands-on coding: expect questions on foundation models, prompt engineering, responsible-AI guidelines, and matching AWS services (Amazon Bedrock, SageMaker, Comprehend, Transcribe, Rekognition) to typical use cases.
Core ML vocabulary (supervised vs. unsupervised, training vs. inference, model evaluation). Light statistics. About 1 in 5 questions sit here.
Foundation models, transformer basics, embeddings, RAG patterns, prompt engineering techniques. The largest single domain at 24%.
Largest domain by weight. Choosing the right AWS GenAI service for a use case (Bedrock for LLMs, SageMaker JumpStart for fine-tuning, Comprehend for NLP). Expect scenario questions.
Bias, fairness, explainability, hallucination mitigation, data governance. Lower weight (14%) but high-density questions.
$90k–$135k–$195k USD annual
Range covers US-based, mid-to-senior AI/ML roles where AWS proficiency is required. Entry roles and non-coastal markets trend lower; FAANG / unicorn senior roles trend significantly higher (often $250k+ TC). The cert alone does not unlock these salaries — it complements demonstrated experience.
Source: levels.fyi 2025 cloud-AI roles, U.S. BLS OEWS May 2024 (15-1252 software developers, 15-2099 ML scientists). Figures are approximate; actual compensation depends on role, region, and experience.
AI/ML hiring on AWS-centric stacks accelerated through 2024–2026 as enterprise GenAI adoption moved from pilot to production. The AIF-C01 functions as a screening signal in roles where deep ML coding is not required — recruiters and hiring managers use it to filter for candidates who can talk credibly about Bedrock, SageMaker, RAG architectures, and responsible-AI tradeoffs. As a foundational credential it does not by itself qualify candidates for ML engineering roles; for those, the AWS Machine Learning Engineer Associate (MLA-C01) or specialty certs are stronger signals.
There are no formal prerequisites. AWS recommends six months of exposure to AI/ML use cases on AWS, but the exam is genuinely accessible to anyone who has worked through the official AWS AI Practitioner learning path (~20 hours of Skill Builder content) and has a working understanding of cloud basics.
If you have no AWS background at all, completing the AWS Certified Cloud Practitioner (CLF-C02) first will make AIF-C01 noticeably easier — many AIF-C01 questions assume baseline familiarity with AWS service names, the shared-responsibility model, and basic IAM concepts.
AIF-C01 is rated foundational — it is one of the more approachable AWS certifications. Expect to study 30–60 hours over 4–6 weeks if you have no prior AI/ML or AWS background; 15–25 hours over 2–3 weeks if you have either of those. The exam is multiple-choice and multiple-response, 65 scored questions in 90 minutes, with no hands-on labs.
The most common stumbling block is the breadth of AWS GenAI service names — there are around a dozen named services across Bedrock, SageMaker, Comprehend, Transcribe, Polly, Translate, Textract, Kendra, Rekognition, and Q. Memorizing which service maps to which use case (text generation vs. summarization vs. classification vs. transcription) is most of what separates passing from failing.
Initial general availability. Beta exam ran August–October 2024 with discounted pricing. Current version as of April 2026.
AIF-C01 (AWS Certified AI Practitioner) is a considered an entry-level exam testing breadth of conceptual understanding rather than hands-on depth Foundational-level exam. Most candidates need 30–80 hours of study spread over 3–6 weeks for foundational-level exams. Most candidates who score consistently above the passing threshold on practice exams pass on their first attempt.