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Lead and Evaluate AI Project Implementations

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Lead and Evaluate AI Project Implementations

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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

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There is 1 module in this course

Artificial intelligence (AI) projects are some of the most exciting and fast-moving initiatives in today’s organizations. But while AI systems can fail because of technical problems, in practice they often fail for another reason: poor execution. Blockers aren’t tracked, responsibilities blur, teams lose alignment, or deliverables don’t meet the quality standards promised to stakeholders.

This course, AI Project Implementation: Playbooks, QA, and Readiness, is designed to help you avoid those pitfalls. It focuses on two practical skills that every project manager and program lead needs: coordinating project workstreams with implementation playbooks and validating deliverables through quality assurance (QA) and acceptance testing. Together, these skills ensure that AI projects don’t just get built—they get delivered in a way that is reliable, accountable, and ready for real-world deployment.

Artificial intelligence (AI) projects are some of the most exciting and fast-moving initiatives in today’s organizations. But while AI systems can fail because of technical problems, in practice, they often fail for another reason: poor execution. Blockers aren’t tracked, responsibilities blur, teams lose alignment, or deliverables don’t meet the quality standards promised to stakeholders. This course, AI Project Implementation: Playbooks, QA, and Readiness, is designed to help you avoid those pitfalls. It focuses on two practical skills that every project manager and program lead needs: coordinating project workstreams with implementation playbooks and validating deliverables through quality assurance (QA) and acceptance testing. Together, these skills ensure that AI projects don’t just get built—they get delivered in a way that is reliable, accountable, and ready for real-world deployment.

What's included

6 videos2 readings3 assignments

6 videos•Total 20 minutes
  • Introduction to AI Project Implementation: From Playbooks to Launch•4 minutes
  • How Playbooks Keep AI Projects on Track•3 minutes
  • Case Example – Updating a Playbook During Daily Stands•3 minutes
  • Documenting Quality: Turning Playbooks into Proof •3 minutes
  • Making the Go/No-Go Call on a Scoring API •4 minutes
  • Congratulations and Continuous learning Journey•2 minutes
2 readings•Total 30 minutes
  • Inside an Effective Implementation Playbook•15 minutes
  • Quality Assurance Frameworks for AI Delivery•15 minutes
3 assignments•Total 75 minutes
  • Final Quiz: Plan, Evaluate, and Learn in Practice•20 minutes
  • HOL: Build a Playbook for a Multi-Team Agile Stand-Up•25 minutes
  • HOL: Apply SLA-Based QA Testing on an AI Model•30 minutes

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