Plan, Optimize, and Launch AI Projects
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Plan, Optimize, and Launch AI Projects
This course is part of Managing AI Projects That Ship and Scale Specialization
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January 2026
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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. Youβll 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, youβll practice aligning teams and timelines for reliable delivery. By the end, youβll 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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