AWS Certified Machine Learning Engineer - Associate (MLA-C01)

AWS Certified Machine Learning Engineer - Associate (MLA-C01)

The AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification validates a professional’s skills in implementing machine learning solutions on the AWS platform. It highlights the ability to choose suitable algorithms, process datasets, and deploy ML models effectively to solve practical business challenges. This certification is perfect for ML practitioners, data analysts, and cloud engineers looking to strengthen their expertise in AWS machine learning services.

Offered and recognized internationally, this certification is valuable for professionals managing AI and ML initiatives in cloud environments. Holding the MLA-C01 certification shows employers that the individual can build, deploy, and monitor ML models, ensuring they deliver accurate insights. Certified engineers help organizations leverage machine learning to improve efficiency, make data-driven decisions, and drive innovation.
 

Who should take the Exam?

This exam is ideal for:

• Machine Learning Engineers
• MLOps Engineers
• Data Engineers
• Backend Software Developers
• DevOps Developers

Skills Required

• Data Preparation and Transformation
• Model Training and Tuning
• Model Deployment and Orchestration
• CI/CD for ML Workflows
• Monitoring and Maintenance of ML Systems
• Security and Compliance in ML Systems

Course Outline

The AWS Certified Machine Learning Engineer – Associate (MLA-C01) Exam covers the following topics - 

• Domain 1: Data Preparation for Machine Learning (ML)
• Domain 2: ML Model Deployment
• Domain 3: Deployment and Orchestration of ML Workflows
• Domain 4: ML Solution Monitoring, Maintenance, and Security