Free certification learning · AWS · AIP-C01

AIP-C01Generative AI Developer – Professional

AWS Certified Generative AI Developer - Professional

ProfessionalAvailableAdvanced (designing, implementing, securing, optimizing and evaluating production generative AI applications, centered on Bedrock and AgentCore)120–200 hours (rough estimate by this site; assumes AIF-C01-level knowledge and experience developing with Bedrock)

For people who ship and operate generative AI applications on AWS in production, including RAG, agents, guardrails, evaluation and monitoring. The next step after AIF-C01 and MLA-C02.

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1StudyRead the key points of 5 domainsStart studying →2Practice300 questions, one at a time, with instant answers and explanationsPractice →3Mock exam75 questions · 180 min, scored by domainMock exam →

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Domain weights are from the exam guide. Progress is your practice record in this browser.

Original question bank: 300 questions (multiple choice 15, ordering 13, minimal pairs 132, case studies 3 with 13 questions). Mock exam: 75 questions · 180 min. Same as the official exam: 75 questions, 180 minutes (in the real exam, 10 of the 75 questions are unscored).

Exam basics (checked 2026-10-04)

Certification
AWS Certified Generative AI Developer - Professional
Exam
AWS Certified Generative AI Developer - Professional (AIP-C01)
Level
Professional
Role
Generative AI application developers, solutions architects and ML engineers (official: assumes 2+ years building production-grade applications, experience in AI/ML or data engineering, and 1 year of hands-on experience implementing generative AI solutions)
Duration
180 minutes (per official page)
Format
75 questions (65 scored + 10 unscored). Multiple choice and multiple response (per official exam guide)
Passing
Scaled score of 750 or higher (scale of 100–1,000; per official exam guide)
Cost
300 USD (per official page)
Languages
English, Japanese, Korean, Simplified Chinese (per official page)
Prerequisites
No prerequisite certification. The exam guide assumes “2+ years building production-grade applications,” “experience in AI/ML or data engineering,” and “1 year of hands-on experience implementing generative AI solutions,” plus experience with AWS compute, storage, networking and IaC.

Reference links (checked 2026-10-04)

Facts on this page (names, exam codes, domains, weights, duration, passing score) are based on the public pages above and may change.

Notes (unofficial, original questions, no pass guarantee)