The Exam Readiness: AWS Certified Machine Learning - Specialty training course is designed to demonstrate how to design, implement, deploy, and maintain Machine Learning (ML) solutions for given business problems.
The course begins by examining exam topic areas including data engineering, exploratory data analysis and modeling. Next, it analyzes machine learning implementation and operations. The course concludes with a review of how to interpret exam questions in each topic area and apply the tested concepts.
Prerequisites:
- Proficiency expressing the intuition behind basic machine learning algorithms and performing basic hyperparameter optimization
- Understanding of the machine learning pipeline and its components
- Experience with machine learning and deep learning frameworks
- Understanding of and experience in model training, deployment and operational best practices
AWS Authorized Training is only available in Argentina, Brazil, Canada, Chile, Colombia, Costa Rica, Mexico, United States, and Peru.
THIS COURSE IS NOT ELIGIBLE FOR TRAINING BUNDLES.
Purpose
|
Help students prepare for the AWS Certified Machine Learning - Specialty exam. |
Audience
|
Machine learning practitioners who are preparing to take the AWS Certified Machine Learning - Specialty exam |
Role
| Software Developer |
Skill Level
| Intermediate |
Duration
| 1 Day |
Related Technologies
| Machine Learning Training |
Productivity Objectives
- Navigate the logistics of the examination process
- Examine the exam structure and question types
- Identify how questions relate to AWS Machine Learning concepts
- Interpret the concepts being tested by the exam question
- Allocate your time studying for the AWS Certified Machine Learning -Specialty exam
