AWS AI Practitioner vs Azure AI Fundamentals: Which AI Badge Should You Get?
Facts last verified against official sources: 2026-07-15
The verdict
Pick by the cloud your employer runs: AIF-C01 for AWS shops and broader generative-AI depth, AI-901 for Azure shops and the only badge here that never expires or costs another dollar.
- Vendor
- Amazon Web Services (AWS)
- Cost
- $100
- Exam format
- 65 questions (50 scored, 15 unscored), 90 minutes, multiple-choice + multiple-response + ordering, matching, and case-study items; pass 700/1000
- Renewal
- Valid 3 years; recertify by retaking the exam or by passing AWS Certified Machine Learning Engineer - Associate
- Associated occupation
- Data Scientists, $120,230 median
- Experience level
- Entry
- Vendor
- Microsoft
- Cost
- $99
- Exam format
- Typically 40-60 questions, 45 minutes, multiple-choice and multi-select; pass 700/1000
- Renewal
- Never expires; Microsoft Fundamentals certifications have no renewal requirement at all
- Associated occupation
- Data Scientists, $120,230 median
- Experience level
- Entry
Salary figures are U.S. Bureau of Labor Statistics medians for the occupation shown, not a measured premium for holding this certification. No one publishes causal cert premiums; anyone quoting one is guessing.
These are the two credentials people mean when they say “I should probably get an AI cert”: a dollar apart at the door, both entry level, both literacy badges rather than engineering exams. They differ in the two places that actually matter, the renewal clock and the ecosystem, and this page settles both with verified numbers.
The door price is a tie; the lifetime price is not
AWS AI Practitioner is $100 and valid three years; recertifying means retaking the exam or passing the Machine Learning Engineer Associate above it, so the honest nine-year figure on the direct path is about $400. Azure AI Fundamentals is $99 and never expires: Microsoft’s Fundamentals tier carries no renewal assessment, no continuing-education requirement, and no fee, ever. If the plan is to earn an AI literacy badge once and hold it indefinitely, AI-901 is the only option in this matchup that costs exactly its sticker price, a distinction it shares with AZ-900 on the never-expires list.
What each exam actually tests
Both are use-not-build exams, and both now lean hard into generative AI. AIF-C01 is the deeper of the two on that front: just over half its scored content sits in generative AI and foundation models, with the rest across AI/ML fundamentals, responsible AI, and security and governance, delivered in 65 questions over 90 minutes with newer item types like ordering, matching, and case studies. AI-901 is the shorter, gentler sitting, the successor to the retired AI-900, testing AI workloads and Azure’s AI services at a fundamentals depth. Neither qualifies anyone to build anything, and both are honest about it; the difference is that AWS’s exam guide reads closer to a junior generative-AI syllabus while Microsoft’s stays a true survey.
The real decider: whose cloud do you live in
A literacy badge earns its keep in the conversations around your actual stack, so the ecosystem question outranks every other row in the table above. In an AWS shop, AIF-C01 vocabulary maps to the services in the room; in an Azure shop, AI-901 does. If you serve both or neither and simply want the cheapest permanent proof of AI literacy, Azure’s no-renewal policy wins on arithmetic. If you are aiming at AI-adjacent work in the broader market and expect to sit more AWS exams later, AIF-C01 folds into that path: passing it earns AWS’s 50 percent voucher toward the next exam, and the ML Engineer Associate above it auto-renews it. Collecting both badges is the one clearly wrong answer; as with CCP vs AZ-900, two vendor-literacy badges read as indecision, not double qualification. Pick the lane your employer, or your target employer, already drives in.
General information, not career or financial advice
CertiGuard documents costs, exam mechanics, and public salary data. Whether a certification pays off for you depends on your market, employer, and experience. Treat this as a starting point, not a promise.
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