Developing AI Strategies & Technology Roadmaps for Government Leaders

Intended Organizations
Skill LevelGeneral Workforce
Virtual | Live Trainer4 hours/day, 2 Days
In-Person | Onsite6 hours/day, 2 Days
Corporate workforce team training session focused on goal setting and performance

Course Overview

Artificial intelligence is no longer experimental. It is becoming a core capability for mission delivery, operational efficiency, and public service innovation across federal agencies. However, successful AI adoption in government requires more than tools. It demands clear strategy, governance, and alignment with mission, policy, and public trust. This course equips federal leaders and program managers with the frameworks, decision models, and practical steps needed to design, govern, and implement an AI strategy responsibly and effectively.

Learning Objectives

  • Define what an AI strategy means in a federal context.
  • Align AI initiatives to agency mission, priorities, and mandates.
  • Identify high-value, low-risk AI use cases.
  • Navigate constraints (policy, procurement, security, compliance).
  • Establish AI governance, risk management, and ethical safeguards.
  • Build a phased, realistic AI roadmap.
  • Lead cross-functional adoption and change management.

Who It's For

  • Federal executives seeking to align AI initiatives with agency missions, strategic priorities, and public service goals.
  • Government program managers responsible for planning and implementing AI initiatives across departments.
  • Agency leaders looking to identify high-value AI use cases and evaluate implementation risks.
  • IT and digital transformation professionals involved in AI strategy, technology evaluation, and organizational adoption.
  • Policy, compliance, and risk management professionals focused on responsible AI governance, security, and accountability.

Course Agenda

Five modules · 26 topics
1Identifying Strategic AI Opportunities (Where AI Should be Applied)Topics 1–7
  1. Linking AI to Agency Mission
  2. Use Cases in Federal Government
  3. Efficiency vs. Decision-Making Risk
  4. “Safe” Starting Points
  5. Avoiding High-Risk Early Deployments
  6. Prioritization Framework
  7. Common Federal AI Use Cases
2Human-AI Collaboration in Workflows (How AI Fits into Work)Topics 8–12
  1. Redefining Work: Humans + AI
  2. Human-in-the-Loop Systems
  3. Designing AI-Supported Workflows
  4. Building Trust and Adoption
  5. Case Studies: Federal-Style AI
3Governance, Risk and Responsible AITopics 13–17
  1. Why Responsible AI is Non-Negotiable
  2. Core AI Risks in Federal Environments
  3. AI Governance Framework
  4. Vendor and Tool Evaluation
  5. Monitoring and Lifecycle Management
4Building and Executing an AI RoadmapTopics 18–22
  1. Defining AI Vision Aligned to Mission
  2. AI Roadmap Development Framework
  3. Resource and Capability Planning
  4. Change Management and Adoption
  5. Measuring Success, ROE and ROI
5GenAI and the Future of Federal WorkTopics 23–26
  1. Generative AI in Government Context
  2. Practical GenAI
  3. GenAI Prompting as a Workforce Skill
  4. Emerging Trends

About our Trainers

Our Mission

Our facilitators are committed to delivering the latest industry trends, job-specific best practices, and the essential soft and hard skills needed in today’s workforce. PTR offers small and large organizations the choice between onsite and virtual training. Collaborate with our specialists to address challenges, bridge skill gaps, and tailor the learning experience to meet your company’s goals.

Frequently Asked Questions

What is the Developing AI Strategies & Technology Roadmaps for Government Leaders course about?

This course helps government leaders develop practical AI strategies and technology roadmaps aligned with agency missions, operational priorities, governance requirements, and responsible AI adoption.

Who should attend this AI strategy training course?

The course is designed for federal executives, program managers, agency leaders, IT professionals, and digital transformation teams responsible for planning, evaluating, governing, or implementing AI initiatives in government environments.

How can government agencies identify the right AI opportunities?

The course introduces prioritization frameworks to help agencies evaluate AI use cases based on mission alignment, operational value, implementation feasibility, efficiency gains, and potential risks.

Does the course cover AI governance, security, and compliance?

Yes. The course explores AI governance frameworks, risk management, responsible AI practices, vendor evaluation, security considerations, and lifecycle monitoring to support accountable implementation.

What is human-AI collaboration, and why is it important in government?

Human-AI collaboration combines AI capabilities with human expertise, judgment, and oversight. The course explores human-in-the-loop systems and AI-supported workflows to help agencies improve efficiency while maintaining accountability.

Does the course cover generative AI and prompting techniques?

Yes. The course introduces generative AI applications in government, practical use cases, prompting as a workforce skill, and emerging trends relevant to federal operations.Yes. The course introduces generative AI applications in government, practical use cases, prompting as a workforce skill, and emerging trends relevant to federal operations.

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