Machine Learning Implementation and Operations in AWS

This course is a part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning, a 5-course Specialization series from Coursera.

Machine Learning Implementation Operations in AWS is the fifth Course in the AWS Certified Machine Learning Specialty specialization. The course has a major focus on designing and implementing machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 1:00-1:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners. Module 1: Machine Learning Implementation Operations in AWS-Part 1 Module 2: Machine Learning Implementation Operations in AWS-Part 2 Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud. By the end of this course, Learners will be able to : -Design machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance -Implement appropriate machine learning services and features for a given problem -Develop machine learning solutions with lab