AWS: Becoming a Machine Learning Engineer

"AWS: Becoming a Machine Learning Engineer" Learning Path

In the "AWS: Becoming a Machine Learning Engineer " Learning Path, you will learn:

- Pass the AWS Certified Machine Learning – Associate exam
- Perform data ETL using AWS Glue
- Build, train, and deploy models with Amazon SageMaker
- Manage and query data using S3, Athena, and Redshift
- Choose the right AWS ML services for different use cases
- Apply AWS best practices for security, cost, and reliability in ML solutions

Syllabus:

- MLA C01-0 - Introduction to the LP
- MLA C01-1 - Getting Started with ML, DevOps, and AWS
- MLA C01-2 - Data Preparation for Machine Learning
- MLA C01-3 - Machine Learning Model Development
- MLA C01-4 - Deployment and Orchestration of ML Workflows
- MLA C01-5 - ML Solution Monitoring, Maintenance, and Security

This learning path includes:

- 19 Lessons
- 251 Readings
- 32 Video
- 12 Knowledge tests

How to get the AWS Exam Voucher:

To receive your voucher, you must complete the following before the deadline:

Complete all learning path tasks.
Complete all quizzes and weekly assignments.
Achieve a score of 80%+ on your 2 mock exams.
Submit the Work experience Survey.
Click the Request Voucher button.

Note: Vouchers are only available to learners enrolled in a live session.

Learning path link