AWS AI Certification Path: Which Cert Should You Take First? (2026 Guide)

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The Top Pick

If you only read one paragraph, here it is. Stephane Maarek's AWS Certified Machine Learning Specialty course on Udemy is the single best preparation resource for the AWS ML Specialty exam available right now. It covers every domain the exam tests, uses real AWS console walkthroughs instead of slide-deck hand-waving, and Maarek updates it when AWS updates the blueprint. For most cloud engineers and solutions architects looking to add an AI credential, this is where to start. Everything else in this article exists for people whose budget, schedule, or starting point makes Maarek the wrong fit.

Quick-Pick Recommendations

Best Overall: Stephane Maarek's AWS Machine Learning Specialty on Udemy, for its depth, frequent updates, and price-to-pass-rate ratio.

Best Free: AWS Skill Builder's free tier content, for foundational AWS AI Practitioner exam exposure without spending anything upfront.

Best for Beginners: A Cloud Guru's AWS Machine Learning Specialty course, for its structured learning paths and beginner-friendly narrative style.

Best for Career-Changers: Linux Foundation's Introduction to AI on edX (audit free), for building ML vocabulary before touching a single AWS service.

Best Value: Tutorials Dojo AWS Machine Learning Specialty practice exams, for targeted exam-day simulation at roughly $15 to $25 per purchase.

Comparison Table

Which AWS AI Certification Should You Actually Take First?

Before reviewing any course, let's be honest about the exam landscape. AWS currently offers two AI-adjacent certifications worth caring about.

AWS Certified AI Practitioner (AIF-C01): Launched in late 2024, this is AWS's entry-level AI credential. No hands-on coding required. It tests your understanding of AI and ML concepts, AWS AI services like Bedrock, SageMaker basics, and responsible AI principles. The exam costs $100 USD. Retakes cost $100 each time. There is no waiting period after a first failure, but after a second consecutive failure you wait 14 days. After a third, 90 days.

AWS Certified Machine Learning Specialty (MLS-C01): The veteran credential. It sits at the Specialty tier, meaning AWS recommends at least two years of ML workload experience before attempting it. The exam costs $300 USD. Same retake pricing applies per attempt. This one tests data engineering, exploratory data analysis, modeling, and ML implementation on AWS in real depth.

Most cloud-cert professionals with a solutions architect or developer associate cert should consider the ML Specialty first if they have any ML background. If you are starting from zero ML knowledge, the AI Practitioner is a smarter first step. It costs $200 less to attempt, and the prep time is roughly 4 to 6 weeks of part-time study versus 10 to 14 weeks for the Specialty.

Now, the courses.

Detailed Course Reviews

1. Stephane Maarek AWS Machine Learning Specialty (Udemy)

Who It's For

Solutions architects, cloud engineers, and data engineers with at least a working understanding of AWS fundamentals who want a direct, no-filler path to passing the MLS-C01 exam. If you have passed an AWS associate cert before, Maarek assumes roughly that level and moves accordingly.

What You Learn

The course covers all four MLS-C01 exam domains: data engineering (S3, Kinesis, Glue, Athena pipelines), exploratory data analysis (feature engineering, visualisation, statistical concepts), modeling (SageMaker algorithms, deep learning frameworks, hyperparameter tuning), and ML implementation and operations (SageMaker deployment, A/B testing, security). Maarek also covers AWS Bedrock content relevant to the revised exam blueprint. Approximately 17 hours of video with supplemental slides you can download.

Price

Udemy's sale price typically runs $15 to $20. At full price ($89.99 list) it is still a reasonable value, but nobody pays full price on Udemy and everyone knows it.

Pros

• Maarek is genuinely thorough. He does not skip edge-case services.
• Regular updates when AWS revises the exam blueprint.
• Strong community Q&A section where Maarek or teaching assistants respond.
• Pairs cleanly with Tutorials Dojo practice exams for a complete prep stack.

Cons

• No hands-on labs included. You supply your own AWS account and the associated costs.
• Heavy on AWS-specific services; lighter on foundational ML theory for absolute beginners.
• Video quality and pacing are consistent, not exciting. If you need gamification, look elsewhere.

Verdict: The most efficient way to pass the AWS ML Specialty exam if you already know AWS basics.

CTA: Enrol in Stephane Maarek's AWS ML Course on Udemy

2. A Cloud Guru AWS Machine Learning Specialty (A Cloud Guru / Pluralsight)

Who It's For

Learners who prefer a structured, guided experience over a long video lecture. A Cloud Guru (now part of Pluralsight) suits people who have used ACG for previous AWS certs and want to stay in the same ecosystem. It also works well for genuine beginners to ML because the course explains concepts before jumping into AWS services.

What You Learn

The course includes video lessons across all MLS-C01 domains, built-in quizzes, a handful of hands-on labs using ACG's cloud sandbox (which means you do not need your own AWS account for the lab exercises, a real practical advantage), and chapter exams. The sandbox labs cover SageMaker notebook basics, data prep with Glue, and model deployment scenarios. Total video time sits around 18 to 20 hours depending on which version of the course is live at time of reading.

Price

A Cloud Guru requires a subscription. Personal plans run approximately $49 per month or around $399 per year as of mid-2026, though Pluralsight bundles complicate exact pricing. There is no à la carte purchase for a single course, which is either fine (if you plan to use the platform for multiple certs) or annoying (if you only want this one course).

Pros

• Cloud sandbox labs mean zero personal AWS bill during study.
• More beginner-friendly pacing than Maarek.
• Practice exams included in the subscription.
• Good breadth of additional AWS courses for the subscription price if you are working through a cert track.

Cons

• Monthly subscription model adds up quickly for a single-cert focus. One month is probably not enough; two months runs $98.
• Content update cadence can lag behind AWS exam blueprint revisions.
• Labs are more guided and less open-ended than real exam scenarios require.

Verdict: Best for beginners and ACG loyalists; the sandbox labs alone justify it if you refuse to pay AWS compute bills while studying.

CTA: Start an A Cloud Guru Free Trial

3. Tutorials Dojo AWS Machine Learning Specialty Practice Exams

Who It's For

Anyone in the final two to four weeks before their MLS-C01 exam date. This is not a teaching course. It is a simulation tool. Jon Bonso and the Tutorials Dojo team are widely regarded in the AWS cert community as the most exam-accurate practice question writers available outside of AWS's own official practice exams.

What You Learn

Six full-length practice exams (65 questions each, matching the real exam format), detailed explanations for every answer choice including why the wrong answers are wrong, and a timed mode that mimics exam conditions. The question bank is updated as the exam blueprint evolves. Coverage includes all four MLS-C01 domains, with notable depth on SageMaker-specific questions that the real exam likes to probe.

Price

Approximately $15 to $25 depending on Udemy sale cycles. Given that the real exam costs $300 per attempt, spending $20 on practice exams that meaningfully reduce your chance of a retake is one of the most cost-effective purchases in cloud certification prep.

Pros

• Explanations are genuinely educational, not just answer keys.
• Timed mode builds the exam stamina the 3-hour MLS-C01 demands.
• Consistently praised across Reddit's r/AWSCertifications for accuracy.
• Regular updates.

Cons

• No video content, no labs, no narrative teaching. Pair it with a full course.
• Some questions lean slightly harder than the real exam, which is actually useful for preparation but can be demoralising mid-study.

Verdict: Non-negotiable purchase in the last month before exam day; at $20 it costs less than 7% of the exam fee you are trying to protect.

CTA: Get Tutorials Dojo Practice Exams

4. AWS Skill Builder (Free Tier and Enhanced Subscription)

Who It's For

People preparing for the AWS Certified AI Practitioner exam on a tight budget, or anyone who wants to use official AWS material as a study anchor before branching into third-party courses.

What You Learn

AWS Skill Builder's free tier includes digital courses on AWS AI services, an Exam Prep Official Practice Question Set for the AI Practitioner (AIF-C01), and foundational content on Bedrock, SageMaker, and AWS's responsible AI framework. The Enhanced subscription at approximately $29 per month unlocks full official practice exams, additional labs, and AWS-issued digital badges.

For the AI Practitioner specifically, AWS offers an official "AWS Certified AI Practitioner Exam Prep" course on Skill Builder that walks through every domain in the exam guide. It is not thrilling material, but it is authoritative.

Price

Free tier: $0. Enhanced subscription: approximately $29 per month.

Pros

• Authoritative source. When AWS changes the exam, Skill Builder reflects it first.
• Official practice questions are the closest approximation of real exam phrasing available.
• Free tier is genuinely useful, not just a teaser.

Cons

• Production quality is functional at best. The courses are built for information transfer, not engagement.
• Labs on the free tier are limited.
• Does not go deep enough on ML fundamentals for the ML Specialty exam on its own.

Verdict: Use it as your exam guide companion and official question source, then supplement with Maarek or Tutorials Dojo for depth.

CTA: Access AWS Skill Builder Free Tier

5. Linux Foundation Introduction to AI/ML (edX)

Who It's For

Career-changers with no ML background who want to understand what machine learning actually is before they touch a single AWS service. If you are a project manager, business analyst, or developer from a non-ML stack considering either AWS AI cert, starting here saves you from building on a shaky conceptual foundation.

What You Learn

The course covers supervised and unsupervised learning, neural network basics, natural language processing concepts, computer vision fundamentals, and ethical AI considerations. It does not teach AWS-specific services. It teaches the vocabulary and conceptual framework that makes AWS-specific courses click faster once you reach them. Approximately 14 hours of content, self-paced across roughly 6 to 8 weeks of casual study.

Price

Free to audit (no certificate, full content access). Verified certificate track costs approximately $169 USD.

Pros

• Genuinely accessible to non-technical learners.
• Audit track is free with full content access, which is rare and should be respected.
• Builds the ML intuition that makes AWS-specific prep courses more effective.
• edX verified certificate is a credible addition to a LinkedIn profile during the gap between starting study and passing the AWS exam.

Cons

• Zero AWS content. You will need a second course for exam-specific prep.
• Pacing can feel slow for learners with any existing technical background.
• The $169 verified certificate has limited standalone value once you hold the actual AWS cert.

Verdict: The honest on-ramp for genuine beginners; audit it free, then move to Maarek or ACG for AWS-specific prep.

CTA: Audit the Linux Foundation AI Course on edX Free

6. Whizlabs AWS Machine Learning Specialty

Who It's For

Hands-on learners who want lab exercises beyond what Maarek provides and who are comfortable paying for a slightly less polished teaching experience to get that practical element.

What You Learn

Whizlabs offers roughly 15 hours of video instruction covering MLS-C01 domains alongside lab exercises that include real AWS console work on SageMaker, data prep pipelines, and model deployment. The platform also includes practice tests. The video content covers comparable ground to Maarek but with less granular depth on edge cases.

Price

Approximately $19 to $29 for the course and practice test bundle, or accessible via Whizlabs subscription.

Pros

• Lab exercises included without needing a separate AWS account setup from scratch.
• Reasonable price for the content volume.
• Combines teaching and practice questions in one purchase.

Cons

• Production quality is noticeably below Maarek or ACG.
• Community and Q&A support is thinner than Udemy's ecosystem.
• Practice questions are useful but not at Tutorials Dojo's accuracy level.

Verdict: A solid backup if you want labs on a tight budget and Maarek plus ACG is over your ceiling; acceptable, not exceptional.

CTA: Browse Whizlabs AWS ML Courses

7. ExamTopics AWS Machine Learning Community Questions

Who It's For

Budget-constrained learners who want exposure to community-sourced exam questions and are disciplined enough to cross-reference answers independently, since ExamTopics' community voting system produces occasional incorrect consensus answers.

What You Learn

ExamTopics hosts a large repository of community-submitted exam questions for the MLS-C01. The free tier provides limited question access. A paid unlock runs approximately $30 for extended access. Explanations are crowd-sourced, which means quality varies significantly question to question.

Price

Free (limited) to approximately $30 (full access).

Pros

• Large question volume.
• Free tier gives some value at zero cost.
• Some questions closely mirror real exam phrasing.

Cons

• Community voting on correct answers is sometimes wrong. This is a known and documented problem across the AWS cert community.
• No structured teaching, no video, no labs.
• The interface is functional and nothing else.

Verdict: Use it for additional question exposure only after you have solidified your knowledge with a reliable source, and always verify answers independently.

How We Picked

Our selection process follows the methodology documented at aicourserater.com/rating-methodology. For this roundup, we evaluated courses across six criteria: content accuracy against the current AWS exam blueprint (weighted most heavily), instructor credibility and responsiveness, update frequency relative to AWS changes, price relative to verifiable learner outcomes, hands-on component quality, and learner review patterns across multiple platforms. We cross-referenced community discussions on Reddit's r/AWSCertifications, TechExams forums, and LinkedIn learning groups to identify which resources practitioners actually use and credit for passing.

We deliberately excluded courses that showed signs of inflated ratings (review-gating practices, affiliate incentive schemes without disclosure), courses that had not been updated within 18 months of the current exam blueprint revision, and any provider making specific pass-rate guarantees without auditable evidence. We also flagged exam cost and retake policy because a $300 exam with a $300 retake is a real financial consideration for learners on genuine budgets, and any review that ignores that context is not serving its reader.

The Bottom Line

For the AWS Certified Machine Learning Specialty exam, build your stack like this: start with Stephane Maarek's course for teaching, add Tutorials Dojo practice exams for simulation, and use AWS Skill Builder's official practice questions to calibrate your exam-day phrasing expectations. Budget approximately 10 to 14 weeks of weekend and evening study, $35 to $45 in course materials, and $300 for the exam attempt.

For the AWS Certified AI Practitioner exam, AWS Skill Builder's free tier plus one set of practice exams is enough for learners with existing cloud context. Complete beginners should add the Linux Foundation edX audit course first. Budget 4 to 6 weeks, potentially $0 to $30 in materials, and $100 for the exam.

Neither path requires a $2,000 bootcamp or a $10,000 prep program. Anyone selling you that for an AWS certification exam is primarily preparing their own bank account.

Enrol in Stephane Maarek's AWS ML Course on Udemy Get Tutorials Dojo Practice Exams Start an A Cloud Guru Free Trial Access AWS Skill Builder Free Tier

FAQ: People Also Ask

What is the difference between AWS AI Practitioner and AWS Machine Learning Specialty?

The AWS Certified AI Practitioner (AIF-C01) is an entry-level credential focused on AI and ML concepts, AWS AI services, and responsible AI. It costs $100 USD and requires no hands-on coding. The AWS Certified Machine Learning Specialty (MLS-C01) is a more advanced credential testing data engineering, modeling, and ML deployment on AWS in technical depth. It costs $300 USD and AWS recommends at least two years of ML experience. Most cloud professionals with an associate-level AWS cert and some ML exposure should target the Specialty directly.

How long does it take to prepare for the AWS Machine Learning Specialty exam?

Realistically, 10 to 14 weeks of part-time study (roughly 8 to 12 hours per week) for someone with AWS associate-level experience and basic ML familiarity. Candidates with a strong ML background but limited AWS experience may prepare in 6 to 8 weeks. Absolute beginners to both AWS and ML should plan for 16 to 20 weeks, or pass an AWS associate cert and complete a foundational ML course before beginning Specialty prep.

How much does the AWS Machine Learning Specialty exam cost, and what is the retake policy?

The exam costs $300 USD per attempt. If you fail, each retake also costs $300 USD. After a first failure, you can retake immediately. After a second consecutive failure, you wait 14 days. After a third consecutive failure, you wait 90 days. This makes thorough preparation financially important. At $300 per attempt, one retake doubles your exam cost to $600.

Are AWS AI certifications worth it in 2026?

Yes, with appropriate expectations. The AWS ML Specialty remains one of the more respected cloud-specific credentials in the market, particularly for roles involving SageMaker, data pipelines, and AI service integration on AWS. The AI Practitioner is newer and has less established market weight, but it is gaining traction for roles in AI product management, cloud consulting, and pre-sales engineering. Neither cert substitutes for portfolio projects or demonstrated ML experience when competing for senior ML engineering roles.

Which is the best AWS ML Specialty course for someone who has never studied machine learning before?

Start with the Linux Foundation's Introduction to AI/ML on edX (audit it free) to build foundational vocabulary. Then move to A Cloud Guru's AWS ML Specialty course for its more beginner-friendly pacing and included cloud sandbox labs. Add Tutorials Dojo practice exams in the final month before your exam date. Maarek's course is excellent, but it assumes you already understand what a confusion matrix is and why gradient descent matters.

Researched by Zoe Fu, our AI research analyst. Edited and published by Adam Furness.