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Strategic Al Leadership: A Manager's Guide to Al in Public Service

Course Introduction: Leading in the Al Era

1. Core Concepts: From Tool User to Team Enabler

2. Establishing Guardrails: A Manager's Guide to Responsible Al Use

Team Guidelines: Empowering vs. Prohibited Al Uses

3. Unlocking Team Potential: Strategic Al Use Cases in Government

1. Drafting Written Content

2. Summarizing Information

3. Brainstorming Ideas

4. Organizing Information

5. Learning New Topics Quickly

4. Coaching for Excellence: Developing Your Team's Prompting Skills

1. Coach Them to Provide Context

2. Coach Them to Be Specific

3. Coach Them to Show the Format You Want

4. Coach Them to Give an Example

5. Coach Them to Ask for a Rewrite

A Practical Coaching Exercise

5. Selecting the Right Tools for Your Team's Work

Manager's Decision Framework

6. Your Leadership Action Plan: Final Guidance and Ethical Commitments

Your Al Leadership Checklist

Core Ethical Commitments for Our Team

Strategic Questions for Al Leadership

Knowledge Checks and Practice

Quiz: Core Concepts and Guardrails

Quiz: Strategic Use Cases

Quiz: Prompting Skills

Quiz: Tool Selection and Risk

Quiz: Leadership Action Planning

Course Feedback

End-of-Course Survey

Badge Card

$ (USD)

Strategic AI Enablement for Minneapolis: Teams, Coaching, and Impact is a practical course designed for City of Minneapolis managers and supervisors who want to turn AI from a personal productivity tool into a team-wide capability. Grounded in public service values, this program helps leaders align AI use with city priorities—equity, transparency, accessibility, and measurable service improvements. You’ll learn how to set clear guardrails, coach staff on safe and effective prompting, and build lightweight, auditable workflows that improve turnaround time, clarity, and resident satisfaction. Through Minneapolis-specific examples—like winter parking communications, neighborhood services, public engagement, and policy briefings—you will identify high-impact use cases and establish human-in-the-loop standards for accuracy and fairness. The course blends strategy with hands-on practice: create team charters, develop prompt libraries, run coaching sessions, and evaluate tools against city-approved criteria. By the end, you will leave with a 90-day action plan, a leadership checklist, and a decision framework to scale responsible AI across your team. If you are ready to move beyond experimentation and lead AI with accountability, this course gives you the structure, skills, and templates to do it safely and effectively for Minneapolis residents.

Strategic AI Enablement for Minneapolis: Teams, Coaching, and Impact

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            <p>Artificial intelligence is rapidly reshaping how high-performing public organizations deliver services, communicate with residents, and steward public trust. Strategic AI Enablement for Minneapolis: Teams, Coaching, and Impact is designed for managers and supervisors who need to turn individual experimentation into team-level outcomes aligned with City priorities. The course centers the City of Minneapolis mission and equity-centered impact, positioning AI as a co-pilot that augments professional judgment rather than replacing it. You will connect AI-assisted practices to measurable service indicators—such as turnaround time, clarity, accessibility, and equity—while maintaining transparency, privacy, and legal compliance expected in public service.</p>

<p>Across the course, you will move from foundational leadership concepts to practical team enablement. First, you will learn to frame AI strategically, define roles and workflows (RACI), and set lightweight, repeatable processes that make outputs reliable. You will then establish guardrails tailored to city responsibilities: data protection, accessibility, records retention, bias mitigation, and human-in-the-loop review. Next, you will explore high-impact use cases common to government—drafting public communications, summarizing information, brainstorming, organizing data, and learning new topics quickly—paired with prompt patterns, quality checks, and audit trails. You will practice coaching skills to raise your team’s prompting quality, build a reusable prompt library, and run live exercises with clear review standards. Finally, you will select city-approved tools using a risk-aware decision framework, measure ROI in public-service terms, and synthesize everything into a 90-day leadership action plan, complete with an ethical commitments checklist and strategic questions to sustain governance and impact.</p>

<p>By the end of the course, you will be able to align AI use with City priorities, coach your team to produce consistent, resident-ready outputs, and choose the right tools and workflows for your context. You will leave with practical templates, a team charter clarifying empowering versus prohibited uses, and a cadence for continuous improvement—equipping you to deliver timely, accurate, and equitable services to Minneapolis residents.</p>
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