AI Strategy Development and Roadmapping
A practical framework for developing and roadmapping AI initiatives that align with business objectives, capabilities, and organizational readiness.
Enrolling now · Intermediate · 3 hours
Free · self-paced
Start whenever you like and work through it at your own pace. Confirm your email to begin — you earn the same certificate as anyone who completes it.
Start this course free →About this course
A strategic course on developing and roadmapping AI initiatives that align artificial intelligence with business objectives, resources, and organizational capabilities. Covers strategy foundations, prioritization and phased planning, capability building, governance, common challenges, and future-proofing.
What you’ll learn
Distinguish AI strategy from traditional IT strategy and articulate a specific, measurable AI vision
Assess organizational readiness across data, infrastructure, talent, and culture
Prioritize and phase AI initiatives by impact, feasibility, and strategic alignment
Build the data, talent, and technology foundations that AI initiatives depend on
Establish governance structures and balanced-scorecard metrics for AI work
Manage stakeholder expectations and navigate the pilot-to-scale transition
Design a strategy that adapts and improves as AI capabilities evolve
Who it’s for
Business and technology leaders, strategists, analysts, and program managers responsible for guiding AI adoption — anyone who needs to turn AI ambition into a realistic, defensible plan. No hands-on coding or data science background required; the focus is strategic and organizational.
Tools you’ll need
No specialized software or technical setup is required. This is a strategy-focused course — all you need is a notepad or document to capture your own organization's vision, capability gaps, and roadmap as you work through the modules.