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.
涵盖的内容
11个视频4篇阅读材料4个作业
显示有关单元内容的信息
11个视频•总计36分钟
Getting Started: Plan, Track, Deliver•2分钟
Why Traditional Tracking Fails•4分钟
Forecasting a 15% Overrun•3分钟
Case: Cutting Scope to Recover•2分钟
Why Deliverables Make or Break Projects•4分钟
Milestone Reviews in Action•3分钟
Case: Reviewing a Data Package•3分钟
Iteration for AI Project Success•6分钟
Iterative AI in Action•3分钟
Case: Capturing Artefacts•4分钟
Congratulations and Continuous Learning Journey•2分钟
4篇阅读材料•总计27分钟
Hybrid Metrics: Agile & EVM•7分钟
From Burndown to Forecasts•5分钟
Acceptance Criteria Explained•8分钟
Iterative Project Governance and Lifecycle Monitoring for AI Programs•7分钟
4个作业•总计70分钟
Plan, Track, Deliver: AI Project Capstone•25分钟
HOL: Forecasting Trouble in Practice•15分钟
HOL: Governance in Action: Approve or Reject?•15分钟
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