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⇱ AI Projects: Plan, Track, Deliver | Coursera


AI Projects: Plan, Track, Deliver

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AI Projects: Plan, Track, Deliver

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

AI projects involve shifting data, evolving models, and strict governance needs that traditional project management often cannot address. This short course helps you plan, track, and deliver AI initiatives using practical, job-ready tools. You’ll learn to track project health, evaluate deliverables for quality, and apply agile and CRISP-DM methods for adaptive progress. By the end, you’ll be able to identify risks early and lead AI projects with confidence.

AI projects involve shifting data, evolving models, and strict governance needs that traditional project management often cannot address. This short course helps you plan, track, and deliver AI initiatives using practical, job-ready tools. You’ll learn to track project health, evaluate deliverables for quality, and apply agile and CRISP-DM methods for adaptive progress. By the end, you’ll be able to identify risks early and lead AI projects with confidence.

What's included

11 videos4 readings4 assignments

11 videosβ€’Total 36 minutes
  • Getting Started: Plan, Track, Deliverβ€’2 minutes
  • Why Traditional Tracking Failsβ€’4 minutes
  • Forecasting a 15% Overrunβ€’3 minutes
  • Case: Cutting Scope to Recoverβ€’2 minutes
  • Why Deliverables Make or Break Projectsβ€’4 minutes
  • Milestone Reviews in Actionβ€’3 minutes
  • Case: Reviewing a Data Packageβ€’3 minutes
  • Iteration for AI Project Successβ€’6 minutes
  • Iterative AI in Actionβ€’3 minutes
  • Case: Capturing Artefactsβ€’4 minutes
  • Congratulations and Continuous Learning Journeyβ€’2 minutes
4 readingsβ€’Total 27 minutes
  • Hybrid Metrics: Agile & EVMβ€’7 minutes
  • From Burndown to Forecastsβ€’5 minutes
  • Acceptance Criteria Explainedβ€’8 minutes
  • Iterative Project Governance and Lifecycle Monitoring for AI Programsβ€’7 minutes
4 assignmentsβ€’Total 70 minutes
  • Plan, Track, Deliver: AI Project Capstoneβ€’25 minutes
  • HOL: Forecasting Trouble in Practiceβ€’15 minutes
  • HOL: Governance in Action: Approve or Reject?β€’15 minutes
  • HOL: Build a CRISP-DM & Scrum Planβ€’15 minutes

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