MLOps Engineering on AWS Course Overview

The MLOps Engineering on AWS course is designed to equip learners with the necessary skills to implement machine learning (ML) operations using the AWS platform. This comprehensive course covers the full spectrum of MLOps, including the principles and goals of MLOps, transitioning from DevOps to MLOps, and understanding the ML workflow within the context of MLOps. It also delves into development practices, such as building, training, and Evaluating ML models, with a focus on security, integration with tools like Apache Airflow and Kubernetes, and leveraging Amazon SageMaker for streamlined operations.

Aspiring participants can also gain hands-on experience through various labs and demonstrations that include Deploying models to production, conducting A/B testing, and Monitoring ML models with tools like Amazon SageMaker Model Monitor. Upon completion, learners will have a solid foundation to prepare for an AWS MLOps Certification, demonstrating their proficiency in MLOps engineering on AWS, and the ability to apply best practices for operationalizing machine learning systems.