AWS Certified Machine Learning Engineer - Associate validates technical ability in implementing ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles.
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.
4
Assess your exam readiness
Take the AWS Certification Official Pretest.
Key FAQs to help you get started
Who should earn AWS Certified Machine Learning Engineer - Associate?
The ideal candidate for this exam has at least 1 year of experience in machine learning engineering or a related field and 1 year of hands-on experience with AWS services. Professionals who do not have prior machine learning experience can take the training available in the Exam Prep Plans and get started building their knowledge and skills.
How will the AWS Certified Machine Learning Engineer - Associate help my career?
Per the World Economic Forum Future of Jobs Report 2023, demand for AI and Machine Learning Specialists is expected to grow by 40%. However, 70% of North American IT leaders say they have the greatest difficulty filling AI/ML specialist roles. This certification can position you for in-demand machine learning jobs in AWS Cloud.
How is AWS Certified Machine Learning Engineer - Associate different from AWS Certified Machine Learning - Specialty?
AWS Certified Machine Learning Engineer - Associate is a role-based certification designed for ML engineers and MLOps engineers with at least one year of experience in AI/ML.
AWS Machine Learning - Specialty is a specialty certification covering topics across data engineering, data analysis, modeling, and ML implementation and ops. It is more suitable for individuals with 2 or more years of experience developing, architecting, and running ML workloads on AWS.
What certification(s) should I earn next after AWS Certified Machine Learning Engineer - Associate?
For professionals looking to dive deeper into machine learning, we recommend AWS Certified Machine Learning - Specialty.
How long is this certification valid for?
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.
