Government AI Foundations Bootcamp

AI Fundamentals for Government Employees

• Define artificial intelligence and understand key terminology.
• Explain the architecture of AI systems, including language models and neural networks.
• Write effective prompts and use AI tools to generate useful results.
• Understand how AI can support tasks such as data analysis, decision-making, and research.
• Recognize privacy and data security considerations when working with AI.

AI & Data Literacy for the Federal Workforce

• Define basic concepts and terminology related to artificial intelligence and data.
• Recognize how AI and data are used in workplace operations and decision-making.
• Interpret simple data visualizations and AI outputs relevant to everyday work.
• Identify common risks and ethical considerations related to AI and data use.
• Apply foundational practices to improve data literacy and support responsible AI use.

AI Prompt Engineering for the Workforce

• Understand how generative AI models interpret and respond to prompts.
• Write clear, effective prompts for common workplace tasks.
• Apply prompt design techniques to improve accuracy and relevance.
• Refine prompts through iteration to achieve better results.
• Identify and reduce common AI output risks such as hallucinations.
• Practice responsible AI use in professional settings.

AI Ethics for Employees

• Identify core ethical principles for responsible AI use.
• Assess major risks and challenges related to AI ethics.
• Apply practical tools and frameworks to identify and reduce ethical issues in AI projects.
• Understand policy considerations that support trustworthy AI adoption.

AI Agents for Workflows

• 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, including the AI model, planning loop, tool access, and containment boundaries.
• Evaluate whether a specific agentic tool is appropriate for a given workflow using a structured framework.
• Identify risks, limitations, and operational warning signs associated with agentic AI systems.
• Apply human oversight models and governance frameworks to agentic tool use.
• Assess organizational readiness for deploying agentic tools.
• Recognize security considerations specific to agentic tools, including prompt injection and permission models.

Advanced Prompt Design & Reasoning Strategies for Professionals

• Design multi-prompt systems that break complex tasks into controlled reasoning stages.
• Apply self-critique and adversarial prompting to identify weaknesses and reduce AI errors.
• Use constraint-first prompting to control scope, exclusions, and acceptable outputs.
• Prompt AI systems to surface uncertainty rather than guess or hallucinate.
• Evaluate AI outputs using comparative prompting and confidence calibration techniques.
• Optimize prompts for clarity, efficiency, and repeatability without sacrificing quality.