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Graduate School USA

AI Fundamentals for Government Employees Part II

via Graduate School USA

Overview

AI Fundamentals for Government Employees — Part II picks up where Part I leaves off, moving participants from understanding how AI works to using it confidently and responsibly on the job. Across three modules—Judge It, Govern It, and Apply It—federal employees learn to catch AI's mistakes such as hallucinations, bias, and faulty logic; navigate the ethics, privacy, and federal rules that govern AI use; and strengthen their prompting and workflows on real, non-sensitive government tasks. The course shows how to use AI critically and responsibly while keeping a human in the loop on decisions that matter.

This instructor-demonstration-led course combines guided labs with an interactive, offline AI-literacy game and a verified leadership-brief capstone. It opens with a brief recap of Part I, so current AI users can take it on its own, while together Parts I and II form a complete two-part foundation. By the end of the course, participants are prepared to evaluate AI output, apply federal governance expectations, and build reusable workflows that support effective and accountable government work.

Syllabus

Module 1 — Judge It: Think Critically and Verify

  • Recognize automation bias and the tendency to over-trust confident AI output.
  • Distinguish fact, opinion, assumption, and AI fabrication in generated content.
  • Apply a repeatable verification checklist evaluating source, specifics, currency, bias, and stakes.
  • Identify hallucinations and faulty logic, and keep a human in the loop on decisions that matter.

Module 2 — Govern It: Use AI Responsibly

  • Apply the core principles of responsible AI: fairness, transparency, accountability, privacy, safety, and human oversight.
  • Recognize where bias enters AI systems in practice and how to catch it.
  • Understand expectations for transparency and disclosing AI use.
  • Identify who governs federal AI use and which rules apply, including privacy, disclosure, and oversight requirements.
  • Recognize why AI agents require additional human oversight, and spot risks such as prompt injection.

Module 3 — Apply It: Put AI to Work

  • Build stronger prompts using examples, persona, and structure.
  • Break complex tasks into sequential steps through prompt chaining.
  • Request structured outputs such as tables and templates.
  • Create reusable setups using custom instructions and Projects.
  • Select the appropriate AI tool for a given task and complete a verified leadership-brief capstone.

Reviews

4.7 rating at Graduate School USA based on 10 ratings

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