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.
-Â Â Â Â Â Â Course level: Advanced
-Â Â Â Â Â Â Duration: 10 minutes
Activities
-Â Â Â Â Â Â Online materials
Course objectives
-Â Â Â Â Â Â Review course concepts for ML Engineer Associate curriculum.
-Â Â Â Â Â Â Locate machine learning resources for continued learning.
Intended audience
-Â Â Â Â Â Â Â Â Â Cloud architects
-Â Â Â Â Â Â Â Â Â Machine learning engineers
Recommended Skills
-Â Â Â Â Â Â Â Â Â At least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering
-Â Â Â Â Â Â Â Â Â At least 1 year of experience in a related role such as backend software developer, DevOps developer, data engineer, or data scientist
-Â Â Â Â Â Â Â Â Â A fundamental understanding of programming languages such as Python
-Â Â Â Â Â Â Â Â Â Completed preceding courses in the AWS ML Engineer Associate Learning Plan
Course outline
-Â Â Â Â Â Â Lesson 1: How to Use This Course
-Â Â Â Â Â Â Lesson 2: Curriculum Summary
-Â Â Â Â Â Â Lesson 3: Contact Us
