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⇱ Plan, Optimize, and Launch AI Projects | Coursera


Plan, Optimize, and Launch AI Projects

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Plan, Optimize, and Launch AI Projects

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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

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

January 2026

Assessments

5 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

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

Plan, Optimize, and Launch AI Projects is an intermediate course for project managers, team leads, and hands-on AI practitioners who want to ship real work, not just talk about it. AI projects rarely fail because a model breaks. They fail because plans are unclear, people are overloaded, and dates do not line up. This course builds three practical skills you can use next week: read and rebalance capacity with a simple heat map, test feasibility against budget, data, and compliance, and use hybrid planning to connect Agile sprints to milestone dates. You will learn through short videos, a focused reading set, one hands-on lab, a coach-guided reflection, and practice quizzes. You will create a heat map, run a baseline review with a change log, and practice mapping sprint work to a milestone so leaders and teams see the same plan. By the end, you will be able to design and adapt plans that keep AI initiatives moving, with clear ownership, visible risks, and credible delivery dates.

Plan, Optimize, and Launch AI Projects is an intermediate course for project managers, team leads, and AI practitioners who want to turn plans into real results. You’ll learn to rebalance team capacity with heat maps, test project feasibility against budget and compliance, and connect Agile sprints to milestone dates using hybrid planning. Through videos, readings, and a hands-on lab, you’ll practice aligning teams and timelines for reliable delivery. By the end, you’ll be able to design adaptable, transparent plans that keep AI projects on track.

What's included

7 videos3 readings5 assignments

7 videosβ€’Total 17 minutes
  • Welcome to the Course: Course Overviewβ€’2 minutes
  • Why Resource Utilization Matters in AI Projectsβ€’2 minutes
  • Optimizing Assignments Across Teams and Partnersβ€’3 minutes
  • Feasibility Studies in AI: Budget, Data, and Complianceβ€’3 minutes
  • Baseline Reviews and Organizational Realitiesβ€’3 minutes
  • Why Hybrid Planning Works for AI Projectsβ€’3 minutes
  • Congratulations and Continuous Learning Journeyβ€’2 minutes
3 readingsβ€’Total 27 minutes
  • Heat Maps and Vendor Offloading in Resource Planningβ€’7 minutes
  • Adjusting Baselines: Extending Testing for Compliance Needsβ€’10 minutes
  • Integrating Jira and Gantt for Cross-Team AI Launchesβ€’10 minutes
5 assignmentsβ€’Total 65 minutes
  • Course Completion Quiz: From Planning to Launchβ€’20 minutes
  • HOL: Run a Capacity Heat-Map and Identify Overloaded Teamsβ€’15 minutes
  • Planning for Resources: Capacity and Vendor Optimization β€’10 minutes
  • HOL: Hold a Baseline Review and Recommend Adjustmentsβ€’10 minutes
  • HOL: Map Sprint Deliverables to Milestonesβ€’10 minutes

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.