MLOps Engineering on AWS

The MLOps Engineering on AWS certification is a premier credential that validates a professional’s ability to streamline and manage the end-to-end machine learning lifecycle on Amazon Web Services. It is tailored for experienced professionals responsible for deploying, monitoring, and scaling ML models in production environments.

This certification covers a comprehensive range of AWS tools and services, including SageMaker, Lambda, CloudFormation, and DevOps practices. Candidates learn to automate workflows, optimize infrastructure, monitor models, and enforce governance in machine learning operations.

Ideal for ML engineers, data scientists, and DevOps practitioners, this certification demonstrates proficiency in building robust, automated, and scalable ML solutions aligned with business goals.

Key Features

• Validates expertise in deploying and managing ML workflows on AWS.

• Covers critical areas: model training, deployment, automation, and monitoring.

• Designed for professionals with experience in AWS and machine learning.

• Aligns ML operations with business strategies and governance frameworks.

• Suitable for high-level roles in AI/ML deployment and operational excellence.