The Machine Learning Pipeline on Aws (aws Certified Machine Learning – Specialty) (sf)

• Develop requirements for appropriate machine learning approaches according to stakeholder's requirements.
• Identify the steps to apply machine learning to real business problems.
• Apply the steps of the ML pipeline to solve the problem.
• Review and adapt systems within AWS.

What You'll Learn

This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations. They will 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.

Minimum Entry Requirement

• Basic knowledge of Python programming language.
• Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
• Basic experience working in a Jupyter notebook environment.