FreeIntermediateAI for Business
Google for Developers
Managing ML Projects
Guidance for planning, staffing and delivering machine-learning work through its lifecycle.AccessFreeFree self-study course.
DurationShort self-paced courseSelf-paced unless the provider states otherwise
CertificateNo certificateConfirm current eligibility before enrolling
Editorial perspective
Why consider it
The operational perspective is useful for people accountable for delivery, not just model creation.
Practical outcomes
What you should be able to do
- Plan ML project phases
- Understand team and data dependencies
- Recognise delivery and maintenance risks
Fit check
Who it suits
Managers and leads moving from an ML idea to an executable project.
Product teamsEngineering leadersBusiness leaders