Certification Guide

AWS Certified Machine Learning Engineer - Associate

by Amazon Web Services · Exam code: MLA-C01

The AWS ML Engineer Associate replaces the retiring ML Specialty cert (sunset March 2026). It validates your ability to implement, deploy, and maintain ML workloads in production on AWS using SageMaker, Bedrock, and the broader AWS ML stack.

Cost

$150

Difficulty

Expert

Prep Time

8-10 weeks

Passing Score

720 / 1000

Valid For

3 years

Salary Impact

+15%

Is it worth it?

Average salary without

$155,000

+15%

Average salary with cert

$178,000

Yes. As the successor to the highly-regarded ML Specialty, this cert carries strong market recognition. At $150, it's well-priced for an ML credential. The exam's inclusion of ordering and case study questions means it tests real-world problem-solving, not just memorization.

Study Plan

A week-by-week breakdown to pass on your first attempt.

Week 1-2

ML fundamentals on AWS — data preparation, feature engineering, SageMaker data processing

10-12 hrs/week
Week 3-4

Model development — SageMaker training, built-in algorithms, hyperparameter tuning, Autopilot

10-12 hrs/week
Week 5-6

Model deployment — SageMaker endpoints, Bedrock, Lambda, model monitoring, A/B testing

10-12 hrs/week
Week 7-8

MLOps — SageMaker Pipelines, Model Registry, CI/CD for ML, cost optimization

8-10 hrs/week
Week 9-10

Practice exams, case study review, weak area remediation

10-12 hrs/week

Careers this cert unlocks

Quick answers

Frequently asked questions

Yes. As the successor to the highly-regarded ML Specialty, this cert carries strong market recognition. At $150, it's well-priced for an ML credential. The exam's inclusion of ordering and case study questions means it tests real-world problem-solving, not just memorization. Certified professionals earn $178,000 on average compared to $155,000 without the certification — a +15% salary boost.

The AWS Certified Machine Learning Engineer - Associate exam costs $150. Factor in preparation materials and study time of approximately 8-10 weeks. The certification is valid for 3 years. Given the +15% salary boost, most professionals recover the investment within the first few months.

AWS Certified Machine Learning Engineer - Associate is rated Expert difficulty (4/5). The exam format is 65 questions, 130 minutes, multiple choice, multiple response, ordering & case studies with a passing score of 720 / 1000. Most candidates need about 8-10 weeks of dedicated study time to pass.

1-2 years of experience building and deploying ML solutions. Familiarity with SageMaker, Python, ML frameworks, and AWS core services.

AWS Certified Machine Learning Engineer - Associate is particularly valuable for AI / ML Engineer, MLOps Engineer, Data Scientist, Cloud Architect roles. ML engineers, data scientists moving into production ML, and MLOps engineers working on AWS. Also valuable for software engineers building ML-powered applications on the AWS platform.