AWS AI Practitioner vs Azure AI Fundamentals: Which First?

The Short Answer

AWS AI Practitioner (AIF-C01) and Azure AI Fundamentals (AI-901) are both foundational, vendor-specific AI certifications. They serve almost identical career signals: low-cost, low-time AI fluency credentials that demonstrate you can speak the language of generative AI and machine learning on a major cloud platform. AWS publishes a $100 fee for AIF-C01. Microsoft no longer publishes a dollar figure for AI-901, saying only that the price varies by the country or region in which the exam is proctored.

Take the cert that matches your platform. If your organisation runs on AWS, choose AWS AI Practitioner. If it runs on Azure (or Microsoft 365), choose Azure AI Fundamentals. If you have no platform preference or work multi-cloud, AWS AI Practitioner is the slightly better pick in 2026, mainly because AWS holds the largest enterprise AI workload share. The content gap that used to favour AIF-C01 has closed since AI-901 replaced AI-900. This guide breaks down the comparison so you can choose with full information.

AWS AI Practitioner vs Azure AI Fundamentals at a Glance

The Azure Side Changed in 2026

AI-900 was retired on 30 June 2026 and replaced by AI-901. This is not a cosmetic renumbering. AI-901 restructured the exam from five roughly equal domains into two, and it is built around Microsoft Foundry rather than the older Cognitive Services framing. It also assumes more of you: Microsoft's audience profile now expects knowledge of Python syntax and familiarity with Azure resources, which AI-900 did not require.

We cover the change in detail in AI-900 is retired, and AI-901 replaces it.

Exam Tip: Study material written for AI-900 is now actively misleading, because the domain weightings and the service names have both moved. Check that anything you buy or watch is dated after April 2026 and refers to Microsoft Foundry.

What AWS AI Practitioner Covers

AIF-C01 covers five domains balanced across AI fundamentals, generative AI, and responsible AI.

The AIF-C01 emphasis on foundation models, prompt engineering, RAG (retrieval-augmented generation), and fine-tuning reflects the generative AI focus of Amazon Bedrock and the broader 2025-2026 AI landscape.

What Azure AI Fundamentals (AI-901) Covers

AI-901 covers two domains, and the weighting tells you where the exam's centre of gravity now sits.

The majority of the exam is now implementation in Foundry: deploying a model, writing system and user prompts, building a lightweight chat client with the Foundry SDK, and creating and testing a single-agent solution. Computer vision, speech and information extraction are still assessed, but as things you implement through Foundry rather than as separate service domains.

That makes AI-901 a more hands-on exam than AI-900 was, and a more hands-on exam than AIF-C01 is. The passing score is 700.

Service Coverage: The Practical Difference

The two certifications cover different cloud service stacks.

AWS AI Practitioner Tests

• Amazon Bedrock (foundation models like Claude, Llama, Mistral)
• Amazon SageMaker (ML platform)
• Amazon Comprehend, Translate, Rekognition (managed AI services)
• AWS-specific generative AI patterns (RAG with Bedrock + Kendra, fine-tuning workflows)
• AWS security and IAM patterns for AI workloads

Azure AI Fundamentals Tests

• Microsoft Foundry (model deployment, the Foundry portal and the Foundry SDK)
• Agent creation and testing in the Foundry portal
• Azure Speech in Foundry Tools
• Azure Content Understanding for extracting information from documents, images, audio and video
• Responsible AI principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability

If your daily work is on Azure, AI-901 is the right credential. If your daily work is on AWS, AIF-C01 is the right credential. Holding the wrong platform's credential signals less in interviews because you cannot connect the credential to your actual work.

Cost: Only One Side Publishes a Number

AWS lists AIF-C01 at $100 USD. Microsoft does not publish a dollar figure for AI-901 at all, stating only that the price depends on the country or region in which the exam is proctored. Plenty of third-party sites quote a number anyway. They are not the certifying body, so confirm the price with the exam provider before you budget.

Both vendors offer extensive free training through their own learning platforms (AWS Skill Builder and Microsoft Learn). For most candidates, the free vendor training plus a $30 practice exam set is enough.

Cost Tip: AWS occasionally offers 50% discount vouchers via AWS Skill Builder, Re:Invent attendees, and partner events. Microsoft occasionally offers free Fundamentals certifications via Microsoft Ignite, Cloud Skills Challenges, and student programmes. Watch for these.

Employer Recognition: Cloud-Specific

Neither certification carries weight independent of the cloud platform it represents. Hiring managers value them as proof of relevant platform fluency, not as standalone AI credentials.

AWS AI Practitioner Recognition

• Recognised in any AWS-focused job posting
• Listed by Amazon partner ecosystem
• Strong recognition in industries running heavy AWS workloads (financial services, media, e-commerce)
• Universally recognised across global markets

Azure AI Fundamentals Recognition

• Recognised in any Azure or Microsoft 365 job posting
• Listed by Microsoft partner ecosystem
• Strong recognition in industries running heavy Microsoft workloads (enterprise IT, healthcare, government)
• Universally recognised across global markets

Both are entry-level credentials. Neither will dramatically change your salary band on its own. Their value is in adding credible AI fluency to whatever role you already have or are targeting.

For broader context on AI Practitioner's career value, see our is AWS AI Practitioner worth it guide.

Difficulty: How They Compare

Both certifications are deliberately accessible and designed for non-technical candidates as well as IT professionals.

AIF-C01 Difficulty

• 65 questions in 90 minutes (generous pacing)
• Includes multiple-response ("select TWO/THREE") questions
• Foundation model and generative AI content is novel for many candidates
• Typical prep: 30-40 hours

AI-901 Difficulty

• Microsoft does not publish a question count or a time limit for this exam
• Passing score is 700
• Weighted towards implementation in Microsoft Foundry rather than service recall
• Assumes Python syntax awareness and familiarity with Azure resources
• Typical prep: 20-30 hours, on our estimate

AI-900 had a reputation as the easier of the two, earned when it was largely a service-mapping exercise. AI-901 is a harder exam than the one that reputation was built on, because well over half of it is implementation. Treat any "AI-900 is the easy one" advice as out of date.

Five Scenarios: Which to Take First

Scenario 1: Your Organisation Runs on AWS

AWS AI Practitioner. Obvious. The credential aligns with your daily work and the AWS AI services you can directly apply.

Scenario 2: Your Organisation Runs on Azure or Microsoft 365

Azure AI Fundamentals (AI-901). Same logic. Azure tooling and Copilot integration patterns are your relevant skill set.

Scenario 3: You Work Multi-Cloud or Vendor-Neutral

AWS AI Practitioner, narrowly, on the strength of AWS's larger enterprise AI workload share. Azure is a close second, and closer than it was before AI-901 landed.

Scenario 4: You Want Both

Take both, in order of platform priority. Total combined investment is around $200 and 50-70 hours. The combined credentials signal genuine multi-cloud AI fluency, which is valuable for consultants and platform-neutral roles.

Scenario 5: You Are Building Toward a Senior AI Credential

Take whichever matches your stack, then progress to associate level. AWS AI Practitioner to AWS Machine Learning Engineer Associate. AI-901 to AI-103 and the Azure AI Apps and Agents Developer Associate certification, which replaced the retired Azure AI Engineer Associate. The foundation certs are useful stepping stones to more rigorous credentials.

The CompTIA SecAI+ Question

Some candidates ask whether to choose AWS AI Practitioner or Azure AI Fundamentals over CompTIA SecAI+. They are not substitutes.

If you are in a security role and your work involves securing AI systems, SecAI+ is the relevant credential. If you are in any tech role and want AI fluency on a specific cloud platform, AIF-C01 or AI-901 is the relevant credential. Many professionals end up holding one cloud AI cert plus SecAI+.

For more on SecAI+, see our CompTIA SecAI+ explained guide.

What Each Cert Will Not Do

AWS AI Practitioner Will Not...

• Cover Azure or Google Cloud AI services
• Validate deep ML engineering skill (look at AWS ML Engineer Associate, now that ML Specialty has retired)
• Substitute for SecAI+ in AI security roles

Azure AI Fundamentals Will Not...

• Cover AWS or Google Cloud AI services
• Test deep ML engineering skill (look at AI-103, now that both the Azure AI Engineer Associate and the DP-100 Azure Data Scientist Associate certifications have retired)
• Cover AWS Bedrock patterns, which is where AIF-C01 earns its keep

The Combined Path

A reasonable progression for tech professionals wanting credible AI credentials:

1. Foundation cert (AWS AI Practitioner or AI-901): 30-40 hours, $100 for AIF-C01
2. Associate cert (AWS ML Engineer Associate at $150, or AI-103): 80-120 hours
3. Optional specialty: CompTIA SecAI+, depending on direction

A caution on step two if you are going the AWS route. AWS gives 28 September 2026 as the last day to sit MLA-C01 in English, with beta delivery of the updated exam starting the day after at $75 beta pricing. We track that in MLA-C01 is being replaced. The old third rung of this ladder has gone entirely: AWS Machine Learning Specialty took its last sitting on 31 March 2026, and Microsoft has retired DP-100 as well, which we cover in what replaces the Azure Data Scientist certification.

The full stack takes 4-6 months. The result is meaningful career signal as an AI-aware engineer or analyst on your chosen cloud.

The Honest Verdict

AWS AI Practitioner vs Azure AI Fundamentals is largely a non-question. The right answer is whichever cloud you work on. Both are excellent low-cost, low-time foundational AI credentials. Both will appear on hiring managers' filters and signal AI fluency.

Default to AWS AI Practitioner if:

• You work on AWS or in an AWS-heavy organisation
• You are vendor-neutral and have no platform preference
• You want a published, predictable exam fee

Default to Azure AI Fundamentals if:

• You work on Azure or in a Microsoft-heavy organisation
• Your role involves Microsoft 365 Copilot or Azure AI Services
• You want the more hands-on of the two exams

For most tech professionals, the right move is to pick the cert matching your platform, complete it in 30 days, and use it as a credible AI fluency signal while you build deeper expertise. Both certifications are among the highest-ROI moves available in 2026.

Ready to Start Practising?

Both AIF-C01 and AI-901 reward candidates who practise with realistic, scenario-based questions until the service mapping (which cloud service for which AI use case) becomes automatic. Reading documentation is necessary but not sufficient.

CertCrush offers practice exams for both AWS AI Practitioner and Azure AI Fundamentals AI-901, built to match the format, domain weighting, and question style of each real exam. Every question includes a detailed explanation covering the service choice and the reasoning behind it.

Create your free account and earn your AI fluency credential this month.