Navigating Change in the Age of AI Course (Self-Paced)
IDTECH7200SP

Module 1: Welcome & The AI Landscape

• Establish a practical foundation for understanding how AI is reshaping government work and public sector operations.
• Define AI in plain language, including what it is, what it is not, and where its current limitations matter.
• Examine real examples of AI adoption across federal agencies and connect them to everyday workplace change.
• Explore the broader federal AI policy environment and recognize how it influences implementation across agencies.
• Assess personal readiness for AI-driven change by reflecting on current exposure, comfort level, concerns, and aspirations.
• Identify common misconceptions about AI and replace them with a more grounded view of automation, augmentation, and human oversight.
• Reflect on how AI is already affecting work and daily life in order to build awareness and readiness for the rest of the course.

Module 2: The Human Side of Change

• Examine why workplace change can be difficult and why AI-related change often feels especially fast, uncertain, and personal.
• Recognize common emotional responses to transition and use change-management concepts to better understand them.
• Apply structured frameworks for navigating uncertainty, including approaches that help participants move from reaction to action.
• Analyze government-focused case studies to identify how leaders can support employees during technology-driven transitions.
• Distinguish between what is changing and what remains stable in an evolving AI-enabled work environment.
• Assess transferable strengths and identify practical next steps for adapting to changes in role, workflow, and expectations.
• Create an initial personal strategy for responding to AI-driven change with clarity, resilience, and forward momentum.

Module 3: Building Your AI-Ready Toolkit

• Identify the durable human skills that remain essential in an AI-augmented workplace, including judgment, communication, and ethical reasoning.
• Examine how roles are shifting from routine task execution toward directing, reviewing, and decision-making responsibilities.
• Assess current strengths against emerging AI-related competency needs and pinpoint areas for upskilling or reskilling.
• Practice communicating workplace change in ways that build clarity, trust, and confidence across teams.
• Reframe AI disruption as an opportunity to strengthen higher-value contributions and professional growth.
• Explore learning resources and development pathways that support continued growth in AI-enabled public sector roles.
• Map current job tasks to potential AI augmentation opportunities while clarifying what human ownership still matters most.

Module 4: Your Path Forward

• Turn course insights into a personalized action plan for adapting to AI-driven workplace transformation.
• Commit to a concrete mindset shift that supports confidence, flexibility, and continuous learning.
• Identify one priority skill to strengthen in the near term and connect it to future workplace needs.
• Plan a practical conversation with a supervisor or team member to support alignment and momentum.
• Select resources and next steps that can be used immediately to continue development after the course.
• Build accountability by sharing commitments with peers and creating a structure for follow-through.
• Consolidate key frameworks and takeaways into a clear roadmap for ongoing growth in an AI-augmented environment.