The Machine Learning Pipeline on AWS
Course Duration
3 Days
Audience
Employees of federal, state and local governments; and businesses working with the government.
Prerequisites
There are no prerequisites for this course.
Course Description
This course introduces the end-to-end machine learning pipeline using AWS services. Students learn to frame ML problems, prepare and analyze data, select and train models, tune hyperparameters, and deploy solutions using Amazon SageMaker and related AWS tools — with emphasis on practical, production-ready workflows.
Learning Objectives
- Select and justify the appropriate ML approach for a given business problem
- Use the ML pipeline to solve a specific business problem
- Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
- Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
- Apply machine learning to a real-life business problem after the course is complete
Course Outline
- 1 – Day 1
- 2 – Day 2
- 3 – Day 3
- 4 – Day 4