AI adoption in government has moved beyond theory—it’s now about execution. While headlines still debate the risks and potential of AI, agencies are realizing that the real challenge isn’t understanding why AI matters, but how to make it work in practice. Too many teams remain stuck in pilot mode or waiting for top-down mandates, while the technology and its workforce implications continue to accelerate.

It’s time to move from planning to implementation. This session focuses on how government agencies can operationalize AI today—by building internal capability, embedding responsible-use policies, and upskilling their workforce to achieve measurable outcomes. We’ll share lessons from early adopters, practical frameworks for launching AI training programs, and a preview of Coursera’s upcoming AI Go-To Guide launching in January.

Watch the on-demand webinar to move beyond the “AI conversation” and toward tangible results—helping your agency turn strategy into action, and action into impact.

We'll specifically cover how to:

• Move from Strategy to Action – See how leading governments are turning AI plans into real results that boost services and workforce performance
• Understand AI’s Workforce Impact – Pinpoint where AI is driving change and how to close skills gaps with equity and measurable outcomes in mind
• Build AI Fluency at Every Level – Equip learners—from job seekers to public sector employees —with core skills in responsible AI, data literacy, and effective prompting
• Design Targeted Training Programs – Use proven frameworks to upskill technical and non-technical teams across key departments
• Measure and Prove ROI – Track progress, assess learning impact, and link training directly to productivity gains
• Learn from Real Success Stories – Explore how state and local agencies are already applying AI in daily operations
• Plan for Long-Term Readiness – Build sustainable AI capability through partnerships, pipelines, and internal champions

Watch the recording now to learn how your organization can navigate the complexities of AI upskilling and integration, ensuring a responsible, ethical, and equitable approach to workforce development.