Scope AI Projects: Define Success

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Scope AI Projects: Define Success

Coursera · Intermediate ·📅 Project Management ·3mo ago

Key Takeaways

Defines success metrics for AI projects using traditional project management techniques and measurable business value frameworks

Original Description

Every AI project begins with optimism and ends with negotiations. This course gives you the tools to keep both in check so the work stays meaningful and finishable. In this course, you’ll learn how to define and manage the scope of AI projects so they deliver measurable business value. Designed for intermediate project and program management professionals, this course bridges traditional project management practices with the unique challenges of AI initiatives. You’ll practice analyzing functional and non-functional requirements to determine what’s in-scope versus out-of-scope, and translate these into scope statements and Work Breakdown Structures (WBS) that align with time, budget, and compliance constraints. Through scenarios, discussions, and hands-on activities, you’ll gain the confidence to prevent scope creep, manage trade-offs, and keep AI projects on track. By the end, you’ll have practical tools to structure AI initiatives and communicate scope decisions clearly with stakeholders.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
Alphabet stock pops on Dow debut, but the tech giant faces major AI questions
CNBC Television
Watch →