AWS ML Engineer Associate Curriculum Conclusion

This course concludes the role-based Machine Learning Engineer learning plan with suggested next steps for continued learning. It provides a downloadable curriculum resource guide you can use to review what you have learned and explore the resources that were mentioned throughout the series.

-      Course level: Advanced

-      Duration: 10 minutes

Activities

-      Online materials

Course objectives

-      Review course concepts for ML Engineer Associate curriculum.

-      Locate machine learning resources for continued learning.

Intended audience

-         Cloud architects

-         Machine learning engineers

Recommended Skills

-         At least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering

-         At least 1 year of experience in a related role such as backend software developer, DevOps developer, data engineer, or data scientist

-         A fundamental understanding of programming languages such as Python

-         Completed preceding courses in the AWS ML Engineer Associate Learning Plan

Course outline

-      Lesson 1: How to Use This Course

-      Lesson 2: Curriculum Summary

-      Lesson 3: Contact Us