Managing Machine Learning Projects

Under­stand the Machine Learn­ing Project Life Cycle (MLPL) and learn how to inte­grate it into a busi­ness con­text. You will ana­lyze MLPL case stud­ies and acquire the work­ing knowl­edge need­ed to apply the MLPL in your busi­ness or organization.
What you will learn

The course will offer you a chance to take a deep-dive on Amii’s Project Charter which is specifically designed for planning and building Machine Learning (ML) projects. The Amii Project Charter encompasses the necessary components and key questions that need to be answered before an organization commits the time and money into formally executing a machine learning project. Participants will engage in project-based learning to create their own project charter for a fictional use case and organization, and then present their pitch to a panel of Amii experts. To support participants in the development of their project, we will be joined by Amii ML Scientists whose extensive experience in productionizing ML projects will help guide and advise each group’s project.

This course has no prerequisites

Students from all educational backgrounds welcome. You can register for this course without applying and enrolling in a program.

Currently counts towards

We recommend that you apply to the program as soon as possible to lock in your course requirements as they are subject to change.

*If you are already enroled in this program, please refer to your specific program requirements as outlined at the time of your admission: Bear Tracks > Academic Advisement.

You can register for and take a course without applying and enrolling into the program.

When will
this course be offered?

New course schedules are released each June and November.

Course not yet scheduled

This course is not currently scheduled, but may be offered in an upcoming term.

New course schedules are announced each June and November.

Sign up for updates

Interested in future offerings of this course? We can let you know when this course becomes available.