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Graduate School USA

AI Fundamentals for Government Employees Bootcamp

via Graduate School USA

Overview

This bootcamp equips government employees with a complete, hands-on foundation in artificial intelligence (AI)—moving from understanding how AI works to using it confidently and responsibly on the job. Day One introduces core concepts, including machine learning, neural networks, deep learning, and large language models, and shows participants how to interact with AI tools to support everyday government tasks such as data analysis, decision-making, and policy research. Day Two builds on that foundation, equipping participants to judge AI output for accuracy and bias, govern its responsible use within federal expectations, and apply stronger prompting and reusable workflows to real, non-sensitive government work.

Through guided demonstrations, interactive activities, and applied practice, participants learn to evaluate AI output for hallucinations, bias, and faulty logic; navigate the ethical, legal, privacy, and regulatory considerations that govern federal AI use; and build practical skills they can apply immediately. The bootcamp emphasizes using AI critically and responsibly while keeping a human in the loop on decisions that matter, and concludes with a verified capstone that demonstrates applied, accountable AI use in a government context.

Syllabus

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 Fundamentals for Government Employees Part II

  • Evaluate AI output for hallucinations, bias, and faulty logic using a repeatable verification checklist.
  • Recognize automation bias and keep a human in the loop on decisions that matter.
  • Apply AI ethics principles and federal governance rules—including privacy, disclosure, and oversight—to your work.
  • Use AI agents with appropriate human oversight and identify risks such as prompt injection.
  • Build stronger prompts and reusable workflows using examples, persona, structure, and prompt chaining.
  • Request structured outputs and create reusable setups with custom instructions and Projects.
  • Select the appropriate AI tool for a given task.
  • Complete a verified leadership-brief capstone demonstrating applied, responsible AI use.

Taught by

Steve Pesklo

Reviews

4.8 rating at Graduate School USA based on 178 ratings

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