AWS Certified Machine Learning - Specialty

Validate your knowledge and skills in building, training, tuning, and deploying machine learning models on AWS

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Exam overview

Category Specialty
Exam duration 180 minutes
Exam format 65 questions, either multiple choice or multiple response
Cost 300 USD. Visit Exam pricing for additional cost information, including foreign exchange rates
Testing options
 Pearson VUE testing center or online proctored exam
Languages offered English, Japanese, Korean, and Simplified Chinese

AWS Certified Machine Learning - Specialty validates your expertise in building and deploying machine learning solutions in the AWS Cloud. This credential demonstrates to employers that you can architect ML/deep learning workloads, optimize model training, and implement production-ready ML systems following AWS best practices. 

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Prepare for the exam

Go from start to certified. Follow our Exam Prep Plan on AWS Skill Builder, our online learning center, so you can approach exam day with confidence.

1

Get to know the exam with exam-style questions

Follow the exam prep plan.

Review the exam guide.

Take the AWS Certification Official Practice Question Set to understand exam-style questions.

2

Refresh your AWS Knowledge and skills

Enroll in digital courses where you need to fill gaps in knowledge and skills, practice with AWS Builder Labs, AWS Cloud Quest, and AWS Jam.

3

Review and practice for your exam

Review the scope of the exam. Explore each exam domain’s topics and how they align to AWS services. Reinforce your knowledge and identify learning gaps with exam-style questions and flashcards. Follow instructors as they walk through exam-style questions and provide test-taking strategies. Continue practicing with AWS Builder Labs and/or AWS SimuLearn.

Key FAQs to help you get started

Per the exam guide, the ideal candidate for this certification should have 2 or more years of experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud. The certification is intended for individuals who perform an artificial intelligence (AI) and ML development or data science role. The exam validates a candidate’s ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud.

Candidates would benefit from first earning an AWS Associate and/or Professional Certification prior to earning a Specialty certification. Browse AWS Certification Path(s).

Per the World Economic Forum Future of Jobs Report 2025, demand for AI and ML Specialists is expected to grow by more than 80% by 2030. This certification can position you for in-demand ML jobs in AWS Cloud. Certified individuals report increased confidence as a result of earning this industry-recognized certification and increased credibility with technical IT/cloud colleagues and customers. Professionals can showcase expertise in building, training, tuning, and deploying ML models on AWS. Highlight your ability to innovate with ML solutions for your customers and business.

You are not required to earn any specific certifications prior to preparing for this certification. However, candidates commonly earn the AWS Certified Solutions Architect - Associate, AWS Certified Machine Learning Engineer - Associate, and/or AWS Certified Data Engineer - Associate before attempting the AWS Certified Machine Learning - Specialty.

This certification is valid for 3 years. Before your certification expires, you can recertify by passing the latest version of this exam. Learn more about recertification options for AWS Certifications.

Yes. Once you earn one AWS Certification, you get 50% discount on your next AWS Certification exam. You can sign in and access this discount in your AWS Certification Account.