MLOps Platforms: Amazon SageMaker and Azure ML

Two clouds, one production mindset

This advanced Coursera course compares two major cloud platforms for machine learning, Amazon Web Services and Microsoft Azure, and walks through building, training and deploying models on both. The point is less about memorizing one console and more about seeing the shared shape of a production ML pipeline.

Skills worth noting

Feature engineering, data preprocessing and exploratory analysis sit alongside deployment and cloud-specific tooling. That mix means the course is as much about data pipelines as it is about the platforms themselves.

Who gets the most out of it

• Data scientists who need to hand a model over to an engineering team.
• Software engineers who are new to running ML workloads in the cloud.
• Learners preparing for AWS or Azure machine learning certifications, as the listing suggests.

Because it is labeled advanced, arrive with a working grasp of model training basics.