Agentic AI for Engineering Practice
- Course Number: E1055T
- Credits: 3 hours
- Instructor: Ellen C. Huang, PE
- Price: $30
Course Outline
This course introduces agentic artificial intelligence (AI) and shows how engineering teams can use it for tasks such as finding project records, triaging submittal comments, and preparing draft reports. An introductory video explains how AI agents use tools, memory, and retrieved information. OpenAI’s practical guide explains how to select a workflow, design an agent, and decide when it should hand control to a person. A second video demonstrates how OpenAI Codex can assist with spreadsheet work, email triage, and dashboards.
A multiple-choice quiz reinforces the course material.
Learning Objectives
At the conclusion of this course, the student will:
- Distinguish AI agents from single-response chatbots and fixed-rule automation.
- Identify the model, tools, and instructions an agent needs and explain how retrieval can supply relevant context.
- Compare a single-agent workflow with manager-led coordination and peer handoffs.
- Select guardrails, stopping conditions, and points for human review in an engineering workflow.
- Identify engineering office tasks for which a Codex-assisted workflow could produce a draft or reviewable output.
Course Content
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