Applied Government AI Bootcamp

AI Fundamentals for Government Employees Course

• Define artificial intelligence (AI) and understand its key terminology.
• Explain the architecture of AI systems, focusing on language models and neural networks.
• Engage in meaningful conversations with AI to get the output you need.
• Understand how AI can be applied in government-related tasks, such as data analysis, decision-making, and policy research.
• Evaluate the potential implications of AI technologies on privacy and data security, especially concerning sensitive government data.

AI & Data Literacy for the Government Workforce Course

• Define basic AI and data concepts including algorithms, models, structured vs. unstructured data, and data visualization
• Recognize AI applications already in use across government — fraud detection, document automation, chatbots, and predictive analytics
• Interpret data visualizations and AI-generated output critically, including prediction scores, category labels, and generated insights
• Identify ethical risks in AI use including bias at every pipeline stage, hallucinations, and deepfake threats
• Apply responsible AI practices using the DIG framework, the ACHIEVE decision model, and the RACE prompt framework
• Verify AI output using a structured seven-point validation checklist and document decisions in an AI Decision Log

AI Prompt Engineering for Government Workforce Course

As AI tools become more common in government environments, knowing how to communicate clearly and responsibly with AI systems is an essential skill. This course equips participants with foundational prompt engineering techniques that help improve productivity, enhance clarity, and reduce risk when using AI to support government work.

AI for Project Management Course

• Define artificial intelligence and its core concepts, including natural language processing, machine learning, and generative AI, in the context of project management.
• Explain how AI tools can enhance project planning, scheduling, risk management, reporting, and stakeholder communications.
• Apply real-world examples of AI use in federal project environments to improve efficiency and decision-making.
• Identify ethical, legal, and compliance considerations, including bias, privacy, transparency, and federal AI guidelines, that impact AI adoption.

AI for Federal HR Classification Course

• Define artificial intelligence and its key concepts relevant to federal HR and position classification.
• Explain how AI tools can be used across sectors for position classification and job analysis.
• Identify legal, ethical, and policy considerations in applying AI to HR processes.
• Demonstrate how to use AI-assisted tools to develop and analyze position descriptions and suggest occupational series/grades.
• Apply AI-generated insights to improve accuracy and consistency in classification decisions.
• Evaluate AI outputs to ensure compliance with OPM standards.
• Develop an action plan for integrating AI solutions into classification workflows.
• Analyze real-world scenarios to develop corrective actions and preventive measures that improve ongoing compliance.

AI Applications and Challenges for Auditors Course

• Understand the core concepts of AI and how they apply to audit activities such as predictive analytics and automation.
• Review past and current regulatory guidance from U.S. agencies and global standards bodies.
• Identify and evaluate ethical risks including bias, transparency, privacy, and accountability in AI-assisted decision-making.
• Examine real-world use cases in audit functions such as fraud detection, anomaly identification, and document analysis.
• Learn how to streamline administrative processes using AI tools in audit workflows.