Most candidates need 3 to 4 weeks of part-time study, roughly 25 to 30 hours, to pass the AWS Certified AI Practitioner (AIF-C01) exam. If you already build with foundation models on AWS, 1 to 2 weeks is realistic. Coming in new to both AWS and AI, budget 6 to 7 weeks.
Last updated August 2026.
These assume 7 to 8 hours a week. AIF-C01 is foundational, the same tier as Cloud Practitioner, and there are no prerequisites. AWS describes the target candidate as having up to six months of exposure to AI and ML technologies on AWS, which is background rather than a gate.
Tier and recommended-experience descriptions come from the official AIF-C01 exam guide. Timelines are our own estimates.
AIF-C01 serves 65 questions, of which 50 are scored and 15 are unscored trial items that are not identified during the exam. Applying the published domain weights to those 50 questions is the fastest way to decide where the hours go.
| Domain | Weight | Of a 28-hour plan |
|---|---|---|
| 3. Applications of Foundation Models | 28% | About 8 hours |
| 2. Fundamentals of Generative AI | 24% | About 7 hours |
| 1. Fundamentals of AI and ML | 20% | About 5 hours |
| 4. Guidelines for Responsible AI | 14% | About 4 hours |
| 5. Security, Compliance, and Governance for AI Solutions | 14% | About 4 hours |
Domain weights from the official AIF-C01 exam guide. Full breakdown in the domains and weighting post.
Domains 2 and 3 together are 52% of scored content, about 26 of the 50 questions. That is the planning headline: this is a generative AI exam with an AI and ML foundation underneath, not a general AI exam with a generative chapter attached. A study plan that spends its first two weeks on supervised versus unsupervised learning has spent them on 20% of the paper.
Two hours in Amazon Bedrock is worth a week of reading. Send a few prompts to a foundation model, change the temperature, and watch the output move. Domains 2 and 3 stop being vocabulary the moment you have done it once.
Responsible AI and Security, Compliance, and Governance are 14% each, which reads as skippable and is not. Together they are 28% of scored content, about 14 questions, the same footprint as the largest domain on its own.
They are also the most conceptual material on the paper, and the AWS features map cleanly onto the concerns they address. An afternoon each is usually enough to move both from blank to solid, which is the best return per hour anywhere in this plan.
Scoring shapes revision: the passing score is 700 on a 100 to 1,000 scale and scoring is compensatory, so you are aiming at one overall total rather than five separate bars. A weak domain can be carried. A blank one cannot.
It does not have to. Both are foundational, neither has prerequisites, and AIF-C01 can be your first AWS certification. Taking CLF-C02 first mainly helps with Domain 5, where AI security and governance sit on general AWS identity, access, and data protection concepts.
If you already hold Cloud Practitioner, subtract roughly a week: Domain 5 will feel like revision, and general AWS vocabulary stops being an obstacle. If AI is the unfamiliar half rather than AWS, keep the full four weeks and spend the saved time in Domain 3.
Most candidates need 3 to 4 weeks of part-time study, roughly 25 to 30 hours. People already building with foundation models on AWS can be ready in 1 to 2 weeks, and those new to both AWS and AI should budget 6 to 7 weeks.
Around 25 to 30 hours at 7 to 8 hours a week. Just over half of that belongs in Fundamentals of Generative AI (24%) and Applications of Foundation Models (28%), which together are 52% of the scored questions.
No, it is not required. Both are foundational with no prerequisites, so AIF-C01 can be your first AWS certification. Holding Cloud Practitioner first mostly helps with the security and governance domain and can shorten your timeline by about a week.
No. AIF-C01 tests understanding of AI concepts and AWS AI services rather than the ability to build models. AWS describes the target candidate as having up to six months of exposure to AI and ML technologies on AWS, which is a recommendation and not an entry requirement.
Start with AI and ML fundamentals for a week, because the later domains assume that vocabulary, then move straight into generative AI and foundation model applications. Leave responsible AI and security to the final week: they are conceptual and quick to absorb.
The AIF-C01 exam guide lists the task statements and in-scope AWS AI services behind all five domains. It is free, and questions are written directly from it.
Open the AWS exam guide →