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Module 1 of 8

What is AI? Past, Present, and Future

One 3-hour session · a short lecture, then a long hands-on lab

Overview

Where AI came from, what it actually is, and where it is headed. We cut through the hype with plain-language definitions (machine learning, neural networks, large language models) and compare what machines and humans are each good at. In lab, you will have your first structured conversations with three leading chatbots and compare how they behave.

The course opens with a question it keeps asking: whether to use these tools for this task, for this person, right now. Knowing what the machine is makes that a decision rather than a default.

Learning objectives

  • Define artificial intelligence, machine learning, neural networks, and large language models in plain language.
  • Describe key moments in AI history and what changed with generative AI.
  • Contrast machine and human intelligence: strengths, limits, and failure modes.
  • Run the same prompt through ChatGPT, Gemini, and Claude and articulate the differences.

Session agenda

Materials

  • Any computer with a web browser. No installs needed.
  • Free accounts: ChatGPT, Google Gemini, and Claude.
  • Companion reading: Elements of AI, Chapter 1 (an independent free course; no affiliation).

Homework

Finish your chatbot comparison notes and write a short paragraph: which assistant would you reach for first, and for what kind of task? Read Elements of AI, Chapter 1.

Detailed slides, lab worksheets, and demos for this module are in progress and will be posted here as they are written.