AWS Certified Machine Learning - Specialty

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.