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AI Agent Development for Government Workflows (Intermediate) (Self-Paced)

via Graduate School USA

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Overview

AI agents go beyond chat - they take actions, use tools, and complete multi-step tasks.

This hands-on course shows government technologists how to design and build a single, reliable AI agent for a real workflow, with the guardrails and human oversight government work requires. It is the build-it companion to AI agent oversight courses.

Syllabus

Module 1: What an AI agent really is

Agents vs chatbots vs automation
Anatomy of an agent: tools, memory, loop
Good and bad agent tasks
The government oversight angle

Module 2: Giving an agent tools

Tool and function calling
The MCP pattern
Connecting to data and systems
Safe tool design

Module 3: Memory, control, and guardrails

Short- and long-term memory
Bounded autonomy
Guardrails and approvals
Failure modes to watch

Module 4: Keeping humans in the loop

Where to require human approval
Logging and explainability
Testing agent behavior
Handling mistakes

Module 5: Build a working agent (capstone)

Scoping a single-agent task
Building it step by step
Testing and hardening
From pilot to use

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