The Machine Learning Pipeline on AWS

This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful. 

Throughout the Machine Learning Pipeline on AWS training course, participants will master key AWS services and tools, making the AWS AI ML certification valuable for anyone aiming to work with machine learning on the AWS platform. By the end of the AWS Machine Learning Certification course, learners will confidently apply these ML concepts and methodologies to solve complex business problems.