AWS-ML
AWS Certified Machine Learning
Certification Overview
AWS's specialty-level ML certification covering SageMaker, data engineering, and model deployment. The 180-minute exam has 65 questions (50 scored) requiring 750/1000 to pass. Being retired March 2026 - replaced by ML Engineer Associate. Requires 2+ years of ML on AWS.
The AWS Certified Machine Learning (AWS-ML) is a globally recognized benchmark designed for professionals aiming to prove their expertise in cloud. In today's competitive landscape, this certification acts as a critical signal to employers regarding your technical proficiency and commitment to the field.
Primary Impact
- Higher salary ceiling in Cloud roles
- Validated expertise at the enterprise level
Market Signal
Ranked as a Top Cloud Credential for 2026, holding the AWS-ML significantly reduces the time-to-hire for senior positions.
Market Outlook
We monitor job market volume in real-time to provide the most accurate demand forecasting for your career.
Market Sentiment
There are currently 2 open roles in the US requiring this specific certification.
Tracking period: 12 Weeks
Job data provided by Adzuna
Is AWS-ML right for you?
Don't make a blind decision. Compare AWS-ML against similar certifications to find the best ROI for your specific career path.
AWS-ML vs Alibaba ACA
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Maintenance & Recognition
Renewal Requirements
Industry Recognition
Proctoring Options
Path to Excellence
Everything you need to successfully navigate the AWS-ML certification journey.
01Entry Requirements
ML Experience
2+ years of hands-on experience developing, architecting, or running ML/deep learning workloads on AWS.
02The Process
Data Engineering
Learn S3 data lakes, Glue ETL, and Kinesis streaming for ML.
SageMaker Mastery
Master the full ML lifecycle: Build, train, and deploy models at scale.
Pass MLS-C01 Exam
Pass the specialty-level exam covering data prep and modeling.
Ready to Get Certified?
Start your AWS-ML certification journey today and open doors to new opportunities in cloud.