Operationalizing Machine Learning on SageMaker

In this introductory lesson, we will give you a course overview of topics and design. We will also introduce what exactly operationalizing machine learning means as well as how it applies.

This lesson is about managing computing resources effectively. We’ll talk about lowering costs and getting more with less.

This lesson is about training models on large datasets. We’ll talk about distributed models, distributed data, and some skills related to distributed training.

This lesson is about high throughput, low latency models. Essentially, this means that we’ll be talking about preparing your projects to deal with high traffic and minimal time delays.

Our final lesson is about security. Security is crucial for all major machine learning projects, so these skills can be very helpful in your career.