AWS AI Practitioner vs Azure AI-901: Which Certification Should You Do First in 2026?

Not Sure Whether to Start With AWS AI Practitioner or Azure AI-901? You Are Not Alone

You have been researching both certification pages for a while now. One is on Microsoft’s learning portal, the other is on AWS Skill Builder. Both are entry-level AI certifications. Both are affordable. Both are designed for people who do not have a deep technical background in machine learning. And yet, after reading through the exam guides, you are still not sure which one to take first.

This is one of the most common questions I see from professionals who are stepping into AI or Generative AI for the first time. The two certifications seem similar from the outside: one from AWS, one from Microsoft, both covering AI fundamentals, both relatively quick to prepare for. But they are not the same certification, and the right choice depends on your specific situation, not on which one is trending on LinkedIn this week.

In this article, I am going to break down both certifications side by side, covering what you will actually learn, how they compare in difficulty, what career paths each one feeds into, and, most importantly, which one makes more sense for your goals in 2026.

A Quick Overview of Both Certifications

Before getting into the comparison, here is a clear picture of what each certification actually is.

AWS Certified AI Practitioner (AIF-C01)

The AWS Certified AI Practitioner is a foundational certification from Amazon Web Services, launched in 2024. It is designed for business and technical professionals who need to understand AI, machine learning, and generative AI concepts in the context of the AWS platform. It sits at the same level as the AWS Cloud Practitioner and does not require hands-on coding or prior cloud experience.

The aws certification ai practitioner validates that you understand how AI and ML services work on AWS, including generative AI tools like Amazon Bedrock, how to use them responsibly, and the business value they can deliver.

Related Readings:- AWS Certified AI Practitioner (AIF-C01): 25+ Hands-On Labs to Success

Microsoft Azure AI-901 (AI Fundamentals)

The Microsoft Azure AI-901 is a foundational certification on the Microsoft AI certification path. It has been available since 2026 previously known as ai-900 which is available from 2020 and has established itself as a widely recognised entry point for professionals exploring AI on Azure. Like the AWS version, it does not require technical expertise or coding ability. It validates a broad understanding of AI concepts, Azure AI services, and Microsoft’s approach to responsible AI.

The Microsoft azure ai certification at the AI-901 level is positioned as the first step toward more advanced credentials. The most common next step is the Azure AI Apps and Agents Developer Associate (AI-103), which is one of the most sought-after options on the microsoft ai certification path right now. Note: AI-102 (Azure AI Engineer Associate) retired on June 30, 2026. AI-103 is the current path for professionals who want to build and deploy AI applications and agents on Azure.

Related Readings:- AI-901 in 2026: Master Azure AI Fundamentals with 13+ Hands-On Labs

Exam Format and Structure Compared

A few details stand out here. The Azure AI-901 azure ai certificate does not expire, which removes the renewal burden entirely. That is a real practical advantage if you are adding it to your credentials and may not be actively using Azure in your day-to-day work for a while.

The AWS AI Practitioner exam has more questions and a slightly longer duration, which reflects its slightly deeper coverage of AWS-specific AI/ML services and generative AI tooling. The Azure exam is shorter and uses more scenario-based questions, so you will be interpreting case studies and applying concepts rather than just recalling definitions.

Both exams are available in English and can be taken from home with a compatible webcam setup.

What You Will Actually Learn

This is where the two certifications start to show meaningful differences. Neither one will teach you to build machine learning models from scratch, but what you will understand after passing each exam is quite different.

AWS AI Practitioner covers:-

1. Core AI and ML concepts: supervised vs unsupervised learning, model training, inference, evaluation metrics
2. AWS AI and ML services: SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Textract, Amazon Polly, and others
3. Generative AI on AWS: Amazon Bedrock, AWS Titan models, prompt engineering fundamentals, and responsible generative AI
4. Security and governance for AI on AWS: IAM policies, data protection, model monitoring
5. Practical business use cases: where AI creates value, when to use pre-built services vs. custom models

The aws ai ml coverage on this exam runs deeper on the generative AI side than the Azure equivalent. If understanding how AWS AI services fit into real-world architectures matters to you, this certification covers that ground directly.

Azure AI-901 covers:-

1. Core AI workloads: what is AI, what problems it solves, types of machine learning
2. Machine learning fundamentals on Azure: Azure Machine Learning workspace, automated ML, responsible ML
3. Computer vision on Azure: Azure AI Vision, Custom Vision, Face API
4. Natural language processing on Azure: Azure AI Language, Azure Translator, Azure AI Speech
5. Generative AI on Azure: Azure OpenAI Service, how large language models work, prompt engineering basics
6. Responsible AI: Six responsible AI principles and how they apply in practice

The Azure AI-901 covers a broader range of AI workloads compared to the AWS version. It is more conceptual and less service-specific. From what I have seen in the industry, professionals who complete AI-901 come away with a strong mental model of AI across multiple disciplines, from vision to NLP to generative AI, which is useful when you are explaining AI capabilities to non-technical stakeholders.

One detail worth keeping in mind: if you are planning to move toward the Azure AI Apps and Agents Developer Associate (AI-103) credential next, taking AI-901 first gives you a meaningful conceptual foundation in exactly the right areas. At the same time, it positions you well for azure ai course material at the associate level, which builds directly on the workload knowledge from AI-901.

Related Readings: Azure AI Foundry vs. Azure Machine Learning: Key Differences Explained by K21 Academy

Difficulty Level: Which Is Harder to Pass?

Both certifications are genuinely accessible to professionals without a coding background. Neither requires you to write Python, deploy models, or work in a cloud console during the exam. That said, they are not identical in how they challenge you.

AWS AI Practitioner tends to have more service-specific questions. You will need to know what specific AWS services do, when to use SageMaker versus Bedrock, and how AWS approaches generative AI security and compliance. The exam rewards familiarity with the AWS platform, so if you are new to AWS entirely, spending time with the service overviews before exam day matters.

Azure AI-901 asks more scenario-based questions. You are less likely to be tested on the specific name of an API, and more likely to be asked which Azure AI service you would recommend for a given business requirement. This makes the exam less about memorisation and more about understanding when and why to use different AI capabilities.

Study time for both is realistic in 2 to 4 weeks with consistent daily effort. From what I have seen in the industry, professionals who already have some exposure to either cloud platform, even at a basic level, tend to clear both exams in under three weeks with focused preparation.

If you are completely new to cloud computing, the Azure AI-901 is slightly more forgiving as a starting point, because the exam style relies more on conceptual understanding than platform-specific service knowledge.

Cost and Prep Resources

Exam costs:-

1. AWS AI Practitioner: $100 USD
2. Azure AI-901: $165 USD

The cost difference is not large for most professionals, but if budget is a real constraint, AWS comes in lower.

Free preparation resources:-

1. AWS AI Practitioner: AWS Skill Builder offers a free digital course for AIF-C01, including practice question sets and video content
2. Azure AI-901: Microsoft Learn provides a free, structured learning path that covers all exam objectives with interactive exercises and sandbox labs

Both platforms also offer paid exam prep bundles if you want mock exams, deeper labs, and instructor-led content.

For professionals preparing for either path while working full-time, that combination of structured study and hands-on labs is what tends to make the difference. Tim, one of our students, earned both the AWS AI Practitioner (November 11, 2025) and the AWS Certified Cloud Practitioner (November 20, 2025) while employed full-time, using K21 Academy’s weekend class format. He passed both in the same month.

At K21 Academy, we run structured courses for both the AWS AI Practitioner and the Azure AI-901, combining concept walkthroughs with real-world scenarios and practice questions designed around the current exam format. These are particularly useful if you want a guided path rather than self-paced study, especially if you are preparing for both certifications as part of a broader AI career plan.

Related Readings: Azure AI/ML Certifications: Step-by-Step Guide to Succeed in 2026

Career Value in 2026: What Employers Actually Ask For

A word on expectations before diving in. Both certifications are entry-level, which means neither one alone will land you a senior AI role. The cert gets you to the door. What carries you through it is the cert combined with hands-on project work, a strong profile, and interview preparation. That combination is what hiring managers are actually screening for.

With that in mind, here is how each certification plays out in the job market.

AWS AI Practitioner as a career asset:-

1. It signals foundational knowledge to employers in AWS-native environments, which includes a large share of startups, fintech companies, and cloud-native enterprises
2. It feeds directly into higher-value AWS credentials: AWS Machine Learning Specialty, AWS Solutions Architect, and the AWS Generative AI Developer certification
3. Roles that commonly list it as a preferred credential include: cloud AI analyst, junior ML engineer, GenAI solutions consultant, and AI-adjacent product roles at AWS-heavy organisations
4. The aws gen ai certification path that starts here positions you well for one of the most in-demand profiles right now, particularly for professionals targeting GenAI engineering roles

Azure AI-901 as a career asset:-

1. It is the most widely recognised foundational microsoft azure ai certification credential among enterprise employers, particularly in consulting, financial services, healthcare, and government sectors that run Microsoft-heavy infrastructure
2. It feeds into the Azure AI Apps and Agents Developer Associate (AI-103) path, which is one of the most sought-after associate-level credentials in the Microsoft space for 2026
3. Roles that commonly list it include: AI business analyst, technology consultant, non-technical AI project lead, and junior azure ai course graduate roles
4. The best azure ai certification path for professionals targeting Microsoft enterprise clients starts at AI-901 and moves to AI-103 (Azure AI Apps and Agents Developer Associate), not at a different point

For professionals who are cloud-neutral or just starting out, the Azure path tends to open more doors in enterprise and consulting environments. The AWS path tends to open more doors in cloud-native and startup environments. Neither path is better. The right one depends on where you want to work.

Related Readings: Top 10 Claude Code Use Cases Every Developer Should Know

Who Should Choose AWS AI Practitioner First?

Here is a practical checklist. If most of these apply to you, AWS AI Practitioner is the right starting point.

1. You are already working in an AWS environment or targeting companies that primarily use AWS
2. You want to understand how AI and generative AI tools fit into AWS architectures, including Amazon Bedrock and SageMaker
3. Your next certification goal is AWS Machine Learning Specialty, AWS Solutions Architect, or another AWS credential
4. You are coming from a non-technical background and want to understand the AWS AI and ML landscape before going deeper
5. You are targeting roles at cloud-native companies, startups, or AWS consulting partners where the AWS platform is the default

The AWS AI Practitioner gives you a solid foundational base and sets you up well for more advanced AWS credentials in the same direction.

Several professionals in our community have cleared this exam while working full-time. Mohammad from the UK earned his AWS Certified AI Practitioner badge (Credly verified), and Shallu in the US shared after passing: “I cleared my AI practitioner exam today and got my badge.” Both prepared alongside their day jobs.

Related Readings:- Comparing the Best AI Chatbots for Your Business: What’s Best for You?

Who Should Choose Azure AI-901 First?

If the following points match your situation, start with Azure AI-901.

1. You work at or are targeting an organisation that runs on Microsoft infrastructure: Azure cloud, Microsoft 365, Dynamics 365, or Power Platform
2. You want a broad conceptual foundation across multiple AI workloads, including vision, language, speech, and generative AI
3. Your next step is the Azure AI Apps and Agents Developer Associate (AI-103) or AI-300: MLOps Engineer Associate, and you want the foundational layer before going there
4. You are in a non-technical role (project management, business analysis, consulting) and need a credential that demonstrates AI literacy without requiring coding skills
5. You are targeting enterprise clients, government, healthcare, or financial services where the Microsoft AI certification path is more commonly recognised

The Azure AI-901 is a strong choice for professionals who want to demonstrate AI fundamentals and set themselves up for the Azure AI Apps and Agents Developer Associate (AI-103) path.

Related Readings:- 7 System Design Patterns Every Cloud AI Engineer Should know

Can You Do Both? What Order Makes Sense?

Yes, many professionals do both, and it is a reasonable goal. Both exams together cost under $300, and the combined preparation time is realistically 6 to 8 weeks if you study one at a time.

The question is which order makes more sense for your situation.

If AWS is your primary platform: Start with AWS AI Practitioner. Build on it with AWS Machine Learning Specialty or the aws generative ai developer certification next.

If Azure is your primary platform: Start with AI-901, then move to AI-103 (Azure AI Apps and Agents Developer Associate). The AI-901 foundation directly accelerates your preparation for AI-103.

If you are cloud-neutral or just starting out: Start with Azure AI-901. The conceptual breadth of that exam gives you a stronger mental model of AI across disciplines, which makes the AWS exam faster and easier to prepare for when you take it second.

A realistic 6-month plan if you want both:-

1. Weeks 1 to 3: Prepare for and pass Azure AI-901
2. Week 4: Brief break, review which AWS AI services map to what you just learned
3. Weeks 5 to 8: Prepare for and pass AWS AI Practitioner
4. Months 3 to 6: Choose your next step based on your target role

This sequence is practical, affordable, and builds genuine AI literacy across both major cloud platforms.

Quick Comparison at a Glance

Final Thoughts

Both the AWS AI Practitioner and the Azure AI-901 are solid first steps into AI certification. Neither will be wasted, and both are achievable within a few weeks of focused preparation.

The honest answer to “which should you do first” is: start with the platform your career depends on. If your work or your target employer runs on AWS, start with AWS AI Practitioner. If it runs on Microsoft Azure, start with AI-901. If you are genuinely starting from scratch with no cloud alignment yet, the Azure AI-901 gives you a broader conceptual foundation first and sets you up well for the AWS exam afterward.

From what I have seen in the industry, professionals who align their certification path to their actual work environment move faster. The certification reinforces what they are seeing on the job, and the on-the-job experience reinforces what they are studying. That combination of real-world application and structured credential preparation is what tends to produce results, not just badges.

At K21 Academy, we have helped 46,000+ professionals across 30+ countries prepare for both of these certification paths, with structured courses, real-world scenario labs, and mentoring. Whether you are starting with AI-901 or AWS AI Practitioner, or planning to do both, the resources are there.

Check out the free AI Certification Masterclass, where we walk through the full Microsoft and AWS AI certification paths, what roles they lead to, and how to prepare for each one in under 30 days:- Free AI Certification Masterclass

Which certification are you planning to take first, and what is driving that decision for you? Is it your company’s cloud platform, a specific role you are targeting, or something else entirely? Share your thoughts in the comments below. I would love to hear what professionals are actually navigating right now.

Frequently Asked Questions:-

Question: Is Azure AI-901 easier than AWS AI Practitioner?

Answer: Both are at a similar difficulty level for beginners. Azure AI-901 is more scenario and concept-based, which some professionals find easier to approach without a technical background. AWS AI Practitioner has more service-specific questions, so familiarity with the AWS platform makes a real difference in your preparation.

Question: Does the AWS AI Practitioner count toward AWS certification paths?

Answer: Yes. The AWS Certified AI Practitioner (AIF-C01) is a recognised foundational credential that demonstrates baseline AI/ML and GenAI knowledge on AWS. It positions you well for the AWS Machine Learning Specialty, the AWS Generative AI Developer certification, and other associate or specialty-level AWS credentials.

Question: Is Azure AI-901 worth it in 2026?

Answer: Yes, particularly for professionals targeting Microsoft-centric environments or planning to pursue the Azure AI Engineer Associate (AI-103) credential next. It is a fundamentals-level exam that does not expire, covers a wide range of AI workloads, and is widely recognised among enterprise employers who use Azure infrastructure.

Question: Can I take the AWS AI Practitioner with no prior AWS experience?

Answer: Yes. The exam is designed for candidates without prior cloud or technical experience. That said, spending time with AWS service overviews before the exam helps, since the questions expect familiarity with what specific AWS AI and ML services do and when to use them.

Question: What comes after Azure AI-901?

Answer: The most common next step is the Azure AI Apps and Agents Developer Associate (AI-103). This credential replaced the Azure AI Engineer Associate (AI-102), which retired on June 30, 2026. AI-103 focuses on building and deploying AI applications and agentic solutions on Azure. It is an associate-level exam that requires hands-on knowledge and is one of the most in-demand credentials on the Microsoft AI path right now.