Lead and Evaluate AI Project Implementations

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Lead and Evaluate AI Project Implementations

This course is part of Managing AI Projects That Ship and Scale Specialization

Instructor: ansrsource instructors

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Model Deployment

Details to know

Shareable certificate

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Build your subject-matter expertise

This course is part of the Managing AI Projects That Ship and Scale Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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

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

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
Final Quiz: Plan, Evaluate, and Learn in Practice 20 minutes

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ansrsource instructors

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