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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
Show info about module content
11 videos•Total 36 minutes
Getting Started: Plan, Track, Deliver•2 minutes
Why Traditional Tracking Fails•4 minutes
Forecasting a 15% Overrun•3 minutes
Case: Cutting Scope to Recover•2 minutes
Why Deliverables Make or Break Projects•4 minutes
Milestone Reviews in Action•3 minutes
Case: Reviewing a Data Package•3 minutes
Iteration for AI Project Success•6 minutes
Iterative AI in Action•3 minutes
Case: Capturing Artefacts•4 minutes
Congratulations and Continuous Learning Journey•2 minutes
4 readings•Total 27 minutes
Hybrid Metrics: Agile & EVM•7 minutes
From Burndown to Forecasts•5 minutes
Acceptance Criteria Explained•8 minutes
Iterative Project Governance and Lifecycle Monitoring for AI Programs•7 minutes
4 assignments•Total 70 minutes
Plan, Track, Deliver: AI Project Capstone•25 minutes
HOL: Forecasting Trouble in Practice•15 minutes
HOL: Governance in Action: Approve or Reject?•15 minutes
HOL: Build a CRISP-DM & Scrum Plan•15 minutes
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