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MLA-C01AWS Certified Machine Learning Engineer – Associate
AWS Certified Machine Learning Engineer – Associate validates technical ability to implement machine learning workloads in production and to operationalize them. It is AWS's current ML engineering credential, introduced as the successor to the retired Machine Learning – Specialty exam.
Associate32 hoursVirtual & On-site
Learning path options
Why attend
- Validates the ability to take ML workloads to production and operationalize them, not just build models
- Spans the roles modern ML delivery involves: backend developers, DevOps and data engineers, MLOps engineers, and data scientists
- AWS's successor credential to the retired Machine Learning – Specialty exam
Who should attend
- Practitioners with at least 1 year of experience using Amazon SageMaker and other ML engineering AWS services, per the ideal-candidate profile
- Backend software developers, DevOps engineers, data engineers, MLOps engineers, and data scientists
What you'll learn
- Implement machine learning workloads in production on AWS
- Operationalize and maintain ML solutions once deployed
- Work effectively with Amazon SageMaker and the surrounding ML engineering services
- Prepare for the MLA-C01 exam with exam-style practice
Examination
Exam MLA-C01 (Associate): 130 minutes, 65 questions, at a Pearson VUE testing center or online proctored. Offered in English, Japanese, Korean, and Simplified Chinese.
Certification
- Valid for 3 years; recertify by passing the latest version of the exam
- Succeeds the AWS Certified Machine Learning – Specialty exam, which AWS retired on March 31, 2026
- The certification and exam are issued by Amazon Web Services (AWS); DAI provides the training
Build this capability across your teams.
DAI Consultancy delivers AWS Certified Machine Learning Engineer – Associate as a corporate cohort — in-person, virtual, or hybrid — structured around your organization's objectives.