This course will teach you how to implement, deploy and operationalize ML solutions using AWS technologies, and prepare you for the AWS Certified Machine Learning - Specialty (MLS-C01) exam.
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.
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About the author
Faye Ellis
Faye Ellis is Principal Training Architect, specialising in AWS, responsible for the AWSCertified Developer Associate, SysOps Administrator Associate and Security Specialty courses. Her other courses include Hands-On Troubleshooting With AWS, Hands-On Chaos Engineering, and EKS Basics. She also researches, writes and presents AWS This Week, a YouTube show designed to summarise the latest AWS updates.
Faye has worked in the IT industry for around 20 years, working in SysOps, DevOps and Architecture roles with mission critical systems across a wide range of industries including financial services, telecommunications, government and healthcare.
Faye is super passionate about cloud technology and understands firsthand how important it is to keep your skills up to date so that you can get to work on the coolest projects out there.
