AI-901 and AIF-C01 are both entry-level, non-coding-focused exams meant to establish shared vocabulary for AI, machine learning, and generative AI concepts, along with responsible use guidance.
The meaningful difference is which vendor ecosystem the services and terminology come from. If you already work with Microsoft 365, Copilot, or Azure AI services, AI-901 will feel more familiar. If you already touch AWS consoles or Bedrock-adjacent tools, AIF-C01 will feel more familiar.
At a glance
| Question | AI-901 | AIF-C01 |
|---|---|---|
| Best fit | Beginners targeting Microsoft-centered AI adoption and Azure AI services | Beginners targeting AWS-centered AI adoption and Bedrock/SageMaker-adjacent services |
| Primary platform language | Azure AI Foundry, Azure AI services, Copilot-era tooling, responsible AI | Amazon Bedrock, foundation models, AWS AI service categories, responsible AI |
| Hands-on center of gravity | Conceptual: AI/ML terminology, generative AI use cases, responsible AI principles | Conceptual: AI/ML terminology, generative AI use cases, responsible AI principles |
| Good prior background | General familiarity with Microsoft 365 or Azure fundamentals | General familiarity with AWS fundamentals or cloud basics |
| Choose it when | Your next AI work happens in a Microsoft/Azure environment | Your next AI work happens in an AWS environment |
| Do not choose it when | You need this to prove you can build or fine-tune AI systems | You need this to prove you can build or fine-tune AI systems |
When AI-901 fits better than AIF-C01
AI-901 is the stronger starting point if your target employer, current team, or learning roadmap is Microsoft-centered. It replaced AI-900 and reflects updated fundamentals content, including generative AI and Copilot-era concepts.
If your organization already uses Microsoft 365 Copilot, Azure AI Foundry, or plans to build on Azure AI services, AI-901 establishes the shared vocabulary you will reuse in role-based Azure AI exams next.
Why it wins for Microsoft-centered teams
The terminology carries directly into Azure AI engineer and AI-102-adjacent role-based paths.
What good preparation looks like
Connect each AI concept to a Microsoft product example: Copilot, Azure AI services, responsible AI tooling.
What weak preparation looks like
Studying outdated AI-900 material without confirming the current AI-901 objectives.
When AIF-C01 fits better than AI-901
AIF-C01 makes more sense when your target environment is AWS-centered. The official AWS certification page frames it around fundamentals of AI, machine learning, generative AI, and responsible AI using AWS services like Bedrock as reference points, without requiring you to build production systems yet.
Decision questions to ask before you choose
| If this is your reality... | Better first choice | Why |
|---|---|---|
| Your target job postings mention Azure AI, Copilot, or Microsoft AI services | AI-901 | The vocabulary and service categories will match what interviewers and roadmaps expect next. |
| Your target job postings mention Bedrock, SageMaker, or AWS AI services | AIF-C01 | You will reuse this foundation directly in AWS AI Practitioner-adjacent or MLA-C02 paths. |
| You still have old AI-900 study material | Discard it and use current AI-901 sources | AI-900 is retired; studying outdated objectives wastes time and risks incorrect exam expectations. |
| You are cloud-neutral and exploring AI broadly | Either, or both over time | Fundamentals exams are low-risk; sequencing depends on which job posting appears first. |
What portfolio evidence makes these certifications believable
AI fundamentals exams alone do not prove you can build or operate AI systems. Pair either credential with one small, documented use case that shows responsible, explained reasoning.
| Certification | High-value project pattern | Evidence that matters |
|---|---|---|
| AI-901 | A short written case study applying an Azure AI service to a realistic business scenario | Problem statement, service chosen, responsible AI considerations, and expected limitations |
| AIF-C01 | A short written case study applying a Bedrock or AWS AI service to a realistic business scenario | Problem statement, service chosen, responsible AI considerations, and expected limitations |
Common comparison mistakes
- Studying from retired AI-900 material instead of the current AI-901 exam guide.
- Treating a fundamentals badge as proof you can build or deploy AI systems.
- Ignoring responsible AI content because it feels less technical than the service names.
- Choosing the exam based on hype instead of your target employer AI stack.
- Not following up with a role-based AI or ML certification once you know your target platform.
Frequently asked questions
What happened to AI-900?
Microsoft retired AI-900 (Azure AI Fundamentals). AI-901 is the current successor and covers updated AI fundamentals content, including generative AI concepts. If you see AI-900 referenced anywhere, treat it as outdated and check the current AI-901 exam page before studying.
Is AIF-C01 the same depth as AI-901?
Both are fundamentals-level exams aimed at explaining AI, machine learning, and generative AI concepts and responsible use, rather than building production systems. Depth is comparable; the difference is mostly which cloud vendor services are referenced.
Should I take AI-901 or AIF-C01 first if I plan to do both?
Start with whichever platform matches your current job, employer, or immediate project plans. The concepts overlap enough that the second fundamentals exam becomes faster once you have completed the first.
First-party sources
- https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/
- https://learn.microsoft.com/en-us/training/courses/ai-901t00
- https://aws.amazon.com/certification/certified-ai-practitioner/
- https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html
Source status last checked 2026-09-21. Microsoft retired AI-900 and replaced it with AI-901. Providers can update objectives, pricing, dates, and policies further after publication.