Successful AI capabilities start with strategy, not technology. That means putting mission, workforce, and public trust at the center of every decision. For professionals working within government, the real challenge is figuring out how to implement AI in ways that deliver public value and build lasting organizational capacity.

In this course, you will develop practical skills for designing AI implementations that work. You'll assess your organization's strategic readiness and workforce capabilities, moving beyond assumptions to understand actual adoption challenges and change management needs. Through hands-on assessment and strategy development, you'll practice creating implementation plans that address both mission alignment and human factors.

You will also explore the critical skill of measuring success beyond operational efficiency, exploring KPI frameworks that capture public value, trust, equity, and institutional learning. Finally, you'll develop storytelling capabilities to communicate AI value to diverse stakeholders — from skeptical employees to oversight bodies — building the narrative foundation that drives adoption and maintains public accountability. By the end of this course, you'll be prepared to lead AI implementations that deliver measurable public value, build workforce capabilities, and maintain the trust and transparency essential for government innovation.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Building AI Foundations for Public Leaders
  • Powering AI With Data
  • Leading Ethical AI in the Public Sector
  • Navigating AI Policy, Regulation, and Public Accountability
 

How It Works

Course Length
2 weeks

Effort
3 to 5 hours of study per week

Format
100% online, instructor-led
  • Government executives and agency leaders responsible for AI strategy, digital transformation, technology, innovation, or organizational leadership
  • Program and operational leaders managing AI initiatives, modernization efforts, or public service delivery
  • Data, privacy, cybersecurity, risk, and compliance professionals responsible for data governance, ethical AI, security, ethics, or regulatory compliance
  • Public policy professionals, legislators, and legislative staff shaping AI policy, regulation, oversight, or public accountability
  • Procurement, acquisition, and contracting professionals responsible for evaluating, purchasing, or managing AI technologies and vendor relationships
  • Consultants, GovTech providers, nonprofits, and other organizations serving the public sector that advise, implement, or support responsible AI adoption
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