Program Strategy, Governance and AI-Enabled Decision Making

In this Specialization, you'll learn how to run large programs end to end and how to use generative AI to do it faster and with sharper judgment. You'll start with the program lifecycle: definition, delivery, and closure. You'll connect programs to portfolios and organizational strategy, build a business case, program charter, and program management plan, and use the five-step benefits management process to turn plans into measurable value. Next comes the work that keeps programs on track. You'll map stakeholders, build a stakeholder register using RACI, and plan communications. You'll manage change, assess organizational maturity, and structure resources and budgets. You'll calculate payback, ROI, IRR, and NPV, use earned value management as a governance tool, and apply the PMI Code of Conduct. Then you'll add AI to the toolkit. With ChatGPT, Google Gemini, and Microsoft Copilot, you'll map program components, draft roadmaps and dashboards, generate risk registers, and support knowledge transfer while checking AI outputs for bias. By the end of this Specialization, you'll be able to: Build core program documents, including a business case, charter, roadmap, and management plan Govern programs using stakeholder registers, communication plans, EVM, and PMI ethical standards Analyze program finances with payback, ROI, IRR, and NPV to judge viability Apply generative AI responsibly across program definition, delivery, and closure