AI in Government
A key component of the 2025 Presidential Management Agenda (PMA), AI is critical for leveraging data and technology to improve government efficiency, eliminate waste, and strengthen American competitiveness.
Featured Solutions
Leveraging AI for Federal Decision-Making
Explore leveraging artificial intelligence (AI) for data-driven decision-making within the federal government.
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AI Essentials for Federal Employees
Learn how to use AI tools practically and responsibly in a federal environment.
Measurably Better Ideas: Transforming the Federal Workforce
Dive into our collection of blogs, eBooks, white papers, and more.
Operationalizing AI: Control, Consistency, and Better Outcomes
Discover how structured AI workflows help federal project managers improve reporting, identify risks earlier, and maintain accountability.
Training for the Next Generation Workforce
Explore how we partnered with Tribility and Guidehouse to use AI to prepare the U.S. Department of Veterans Affairs workforce to deliver world-class healthcare.
Effective AI Prompt Writing for Federal Professionals
Learn how federal agencies are using structured prompt writing to generate accurate, actionable AI outputs while maintaining oversight and mission alignment.
AI in Government: Benefits, Risks, and Future Potential
Explore how AI is reshaping federal operations and what agencies need to prepare for next.
Friend or Foe? A look into AI Tools in the Federal Workplace
Learn MoreHow can Federal Managers Start Focusing on AI Tools & Training?
Learn More10 Most In-Demand Technical Skills for Federal Employees
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Frequently Asked Questions
What is AI training for federal professionals?
A key component of the 2025 Presidential Management Agenda (PMA), AI is critical for leveraging data and technology to improve government efficiency, eliminate waste, and strengthen American competitiveness.
What topics are covered in AI training courses?
- AI Foundations and Fundamentals
- Introduction to Artificial Intelligence (AI)
- Evolution of AI technologies
- Open generative AI vs. closed AI systems
- AI capabilities and limitations
- AI in the federal workforce
- Human-AI collaboration
- AI for Decision-Making and Analytics
- AI-enhanced decision-making
- AI-based Decision Support Systems (DSS)
- AI techniques for analytics
- Using AI to analyze federal datasets
- AI-supported operational workflows
- Simulation modeling with AI
- Machine Learning Concepts
- Supervised learning
- Unsupervised learning
- Decision trees
- Random forests
- Expert systems
- Simulation modeling
- Federated learning
- AI Ethics, Governance, and Regulation
- AI ethics and governance
- Federal AI guidance
- Responsible AI use
- AI transparency
- AI risk mitigation
- AI oversight and guardrails
- Ethical considerations in AI implementation
- AI Risk Management and Safe Use
- Identifying AI-related risks
- Context and oversight risks
- Safe AI practices
- Supervising AI-supported work
- AI boundaries and review processes
- Reassessing AI use over time
- Prompt Engineering and AI Interaction
- Building effective prompts
- Baseline prompting
- Advanced prompting techniques
- Structured iteration with AI
- Prompt-writing exercises
- Improving AI-generated outputs
- Data Privacy and Security in AI
- Protecting proprietary and sensitive information
- Data protection measures for AI systems
- AI data privacy concerns
- Differential privacy
- Blockchain for data privacy
- Data integrity and compliance
- AI Adoption and Organizational Integration
- AI implementation planning
- Stakeholder engagement for AI initiatives
- AI workforce integration
- Change management for AI adoption
- Building AI-enabled teams
- Establishing organizational guardrails
- AI for Workplace Productivity
- AI for writing and editing
- AI for research and summarization
- AI for low-risk/high-value tasks
- AI-assisted collaboration
- AI-supported documentation practices
What skills will I gain from AI training?
AI Course Skills Summary
- AI Fundamentals
- Understand AI concepts and terminology
- Recognize AI capabilities and limitations
- Understand generative AI and AI systems
- Apply AI concepts in workplace environments
AI-Assisted Decision-Making
- Use AI to support decision-making
- Analyze data with AI-supported tools
- Evaluate AI-generated recommendations
- Apply AI in decision support systems (DSS)
- Combine AI insights with human judgment
Prompt Engineering
- Write effective AI prompts
- Improve AI responses through iterative prompting
- Use structured prompting techniques
- Refine prompts for research, writing, and analysis
AI Productivity Skills
- Use AI for writing and editing
- Summarize and research documents with AI
- Automate repetitive tasks
- Improve workflow efficiency using AI tools
- Create AI-supported documentation
AI Risk Management
- Identify AI-related risks
- Establish safe AI usage boundaries
- Monitor and review AI outputs
- Assess AI workflow risks
- Apply oversight and governance practices
AI Ethics and Governance
- Apply ethical AI principles
- Understand AI governance and transparency
- Recognize AI bias and fairness concerns
- Support responsible AI implementation
- Align AI use with policies and regulations
- AI Data Privacy and Security
- Protect sensitive and proprietary data
Apply AI data privacy practices
- Understand compliance and consent requirements
- Maintain secure AI-enabled workflows
- Identify data integrity risks
AI Leadership and Organizational Skills
- Lead AI adoption initiatives
- Establish AI guardrails and standards
- Support organizational AI integration
- Address workforce concerns about AI
- Manage AI-related change initiatives
Machine Learning Awareness
- Understand supervised and unsupervised learning
- Recognize decision trees and random forests
- Understand simulation modeling and expert systems
- Identify emerging AI technologies and trends
Does AI training address ethics and data security?
AI Ethics and Governance Courses: 4611, 4614, 4691, 4692
- Apply ethical AI principles
- Understand AI governance and transparency
- Recognize AI bias and fairness concerns
- Support responsible AI implementation
- Align AI use with policies and regulations
AI Data Privacy and Security
- Protect sensitive and proprietary data
- Apply AI data privacy practices
- Understand compliance and consent requirements
- Maintain secure AI-enabled workflows
- Identify data integrity risks
- Courses: 4614, 4690
Have Questions?
One of our expert representatives can help. Complete this form for assistance in selecting the right course or program, or to get your best pricing for group or team training.