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Government Leadership AI Bootcamp

Overview

This bootcamp helps government leaders confidently guide their agencies through AI adoption by combining AI governance, leadership, and performance management into one practical program. Participants gain the tools and best practices needed to support accountability, compliance, risk management, and public trust, while integrating AI into policies, procurement, and daily operations. Through real government case studies, hands-on exercises, and executive discussions, leaders learn how to oversee AI solutions, address ethical and legal issues, lead workforce change, and use AI to improve goal setting.

In addition to the core courses, participants can choose one of two optional paths to deepen their learning. The AI Ethics option focuses on responsible AI use, helping leaders identify ethical risks, manage compliance, and apply practical strategies that build trust. The AI Agents option offers a no-code introduction to agent-based systems, explaining how AI agents differ from traditional automation, how agent-enabled workflows are designed conceptually, and how government principles for oversight and risk management apply, with an emphasis on informed decision-making rather than technical development.

Syllabus

AI Governance & Oversight Course

Define the pillars and principles of AI governance in the government context
Evaluate and monitor AI systems for compliance, risk, and performance throughout their lifecycle
Develop governance mechanisms for procurement, vendor oversight, and third-party solutions
Address emerging legal, ethical, and policy challenges in AI deployment

AI for Government Leadership and Management Course

Categorize AI technologies and assess their impact on the workforce and structure
Develop strategies to lead workforce transformation and drive successful AI adoption
Design talent management approaches for recruiting, upskilling, and retaining employees in AI-rich environments
Establish frameworks to support change and responsible AI use across teams
Draft an AI Adoption Action Plan

AI for Employee Performance Management in Government Course

Explain how AI supports data-driven employee performance management
Identify AI applications consistent with OPM performance and awards guidance
Apply AI tools ethically and effectively in employee evaluations and awards
Develop a plan to integrate AI into your agency’s employee performance management process

AI Ethics for Government Employees Course

Identify core ethical principles for AI in government settings
Assess major risks and challenges related to AI ethics
Apply practical tools and frameworks to identify and mitigate ethical issues in AI projects
Navigate the government policy landscape for trustworthy AI adoption

AI Agents for Government Workflows Course

Explain what AI agents are and how they differ from automation, chatbots, and decision-support tools
Describe how agentic tools work at a high level — the AI model, planning loop, tool access, and containment boundary
Evaluate whether a specific agentic tool is appropriate for a given government workflow using a structured framework
Identify risks, limitations, and operational warning signs specific to agentic AI systems
Apply human oversight models (HITL, HOTL, HIC) and governance frameworks to agentic tool deployments
Assess organizational readiness for agentic tool deployment using a practical checklist
Identify security considerations specific to agentic tools, including prompt injection and permission models

Advanced Prompt Design & Reasoning Strategies for Government Professionals Course

As AI use in government work becomes more common, the difference between acceptable and risky AI output often comes down to how prompts are designed—not which tool is used. This course equips professionals with the advanced prompting strategies needed to produce reliable, defensible, and high-quality AI outputs in environments where accuracy, clarity, and accountability matter.