AWS Certified Machine Learning - Specialty (MLS-C01): Machine Learning Implementation and Operations

What you'll learn

This course is part of a series, designed to help you prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam. The courses in this series are focused on the domains from the exam guide, and we recommend taking them in this order: * AWS Certified Machine Learning - Specialty (MLS-C01): Data Engineering * AWS Certified Machine Learning - Specialty (MLS-C01): Exploratory Data Analysis * AWS Certified Machine Learning - Specialty (MLS-C01): Modeling * AWS Certified Machine Learning - Specialty (MLS-C01): Machine Learning Implementation and Operations * AWS Certified Machine Learning - Specialty (MLS-C01): Exam Preparation Machine Learning on AWS is one of the most sought after skills you can develop. In this course, Machine Learning Implementation and Operations, you’ll learn to Deploy and operationalize ML solutions. First, you’ll explore how to Build ML solutions for performance, availability, scalability, resiliency, and fault tolerance. Next, you’ll discover how to identify the appropriate ML services and features for a given problem. Finally, you’ll learn how to Apply basic AWS security practices to ML solutions. When you’re finished with this course, you’ll have the skills and knowledge needed to implement, deploy and operationalize ML solutions.