Scope AI Projects: Define Success

Coursera MOOC / Non-credit USD 49
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Scope AI Projects: Define Success

About this course

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.

What you'll learn

  • Analyze and distinguish between functional and non-functional requirements
  • Create and articulate scope statements
  • Develop Work Breakdown Structures (WBS) aligned with project constraints
  • Manage scope creep and negotiate project scope effectively

Course objectives

  • Equip participants with practical tools for structuring AI projects
  • Enhance participants' communication skills regarding project scope

Skills you'll gain

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