Overview
AWS Machine Learning Engineer Associate is a AWS credential. Prepare data, build, deploy and run ML and foundation model workloads with SageMaker AI and Bedrock. This PathKey™ guide summarizes the domains, format, cost signals, eligibility, and renewal pattern so you can decide before you book. Accumentum is a AWS Authorized Training Partner and an Army CA and Air Force COOL Approved Vendor. AWS sets exam content, fees, and policies.
Accumentum is a AWS Authorized Training Partner and an Army CA and Air Force COOL Approved Vendor. AWS sets exam content, fees, and policies.
Who it is for
- ML engineers and MLOps engineers.
- Data scientists who deploy their own models.
- Developers and data engineers adding ML to their work.
Exam domains
Weights follow the official outline.
- 01
Data Preparation for ML and AI
28%Collect and store data, Perform data transformation, feature engineering, and pre-processing, and Validate data quality and manage bias.
- 02
ML Model and Foundation Model (FM) Development
24%Choose appropriate modeling approaches for ML and AI solutions, Train, fine-tune, and customize models for ML and AI solutions, and Analyze and evaluate the performance of ML and AI systems.
- 03
Deployment and Orchestration of ML and AI Workflows
24%Manage deployment infrastructure for ML and AI model types, Provision and configure resources for ML and AI workloads based on existing architecture and requirements, and Implement automated orchestration and continuous integration and continuous delivery (CI/CD) pipelines for MLOps and AI workloads.
- 04
Operating, Monitoring, and Securing ML and AI Solutions
24%Monitor ML and AI model inference and performance, Optimize and manage ML and AI infrastructure costs and performance, and Secure ML and AI workloads and model endpoints.
Exam format and cost
- Questions
- 65
- Duration
- Confirm on the vendor site
- Format
- Confirm question format on the vendor outline
- Passing score
- Confirm the passing score on the vendor site
- Cost
- 150 USD (confirm on the vendor site)
- Delivery
- Pearson VUE test center or online where the vendor offers it
- Languages
- Confirm available languages on the vendor site
Experience and eligibility
AWS doesn't require another certification first, and we don't have enrollment prerequisites either. AWS recommends at least 1 year of experience with Amazon SageMaker AI, Amazon Bedrock and other ML engineering services.
Renewal
Renewal rules for AWS Machine Learning Engineer Associate are set by AWS. Many credentials use a multi-year cycle with continuing education, a renewal fee, or a newer exam. Confirm the current cycle on the vendor site.
Roles this credential fits
- Data preparation, ML and foundation model development, deployment and MLOps, and monitoring and securing ML and AI, mapped to the four MLA-C02 domains.
- Machine Learning
- Teams standardizing on this credential for hiring or compliance
AWS Machine Learning Engineer Associate questions
Is AWS Machine Learning Engineer Associate worth it?
AWS Machine Learning Engineer Associate is worth it when employers or contracts in your market ask for AWS proof, or when the domains match work you already do or want next. Common roles include Data preparation, ML and foundation model development, deployment and MLOps, and monitoring and securing ML and AI, mapped to the four MLA-C02 domains., Machine Learning, and Teams standardizing on this credential for hiring or compliance. Read the roles and domains on this page, then decide against your timeline and budget.
How hard is AWS Machine Learning Engineer Associate?
You get 65 questions in Confirm on the vendor site. Format: Confirm question format on the vendor outline. Passing score: Confirm the passing score on the vendor site. Delivery: Pearson VUE test center or online where the vendor offers it. AWS doesn't require another certification first, and we don't have enrollment prerequisites either. People who pass usually mix domain study with timed practice, not reading alone.
Does AWS Machine Learning Engineer Associate expire?
Renewal rules for AWS Machine Learning Engineer Associate are set by AWS. Many credentials use a multi-year cycle with continuing education, a renewal fee, or a newer exam. Confirm the current cycle on the vendor site.
How does Accumentum help with AWS Machine Learning Engineer Associate?
We offer Expert-led training mapped to the AWS Machine Learning Engineer Associate domains, PathPay® payment options, PathPass™ practice where the exam is in our catalog, and military funding support where you qualify. We are an Army CA and Air Force COOL Approved Vendor. Our pass rate across Accumentum certification attempts since August 2022 is 98.8% (2,412 certified of about 2,441 attempts).
How much does the AWS Machine Learning Engineer Associate exam cost?
Exam voucher pricing for AWS Machine Learning Engineer Associate is set by AWS and varies by region and bundle. Confirm the current price on the official store before you buy. PathPay® can spread Accumentum course tuition when you train with us.
What are the AWS Machine Learning Engineer Associate prerequisites?
AWS doesn't require another certification first, and we don't have enrollment prerequisites either. AWS recommends at least 1 year of experience with Amazon SageMaker AI, Amazon Bedrock and other ML engineering services.
What should I take after AWS Machine Learning Engineer Associate?
After AWS Machine Learning Engineer Associate, pick the next credential that matches the job you want, not a generic ladder. Use the roles on this page and neighboring PathKey™ guides from the same vendor to plan the sequence. If you need a readiness check first, start with ReadyScore™ when we offer one for this exam.
Official sources
Always confirm fees, dates, and eligibility on the vendor site before you register. Vendors change outlines and prices without notice.