Course

Understanding Generative AI: Learn How Large Language Models Work

Time limit: 290 days

$15 Enroll

Full course description

This module examines how generative AI systems work and why their outputs vary in quality, reliability, and usefulness. Learners explore core concepts such as training data, prediction, probability, pattern recognition, hallucination, and model limitations. The module frames generative AI as a pattern-based system that can support human thinking but does not replace human judgment, helping learners use these tools more deliberately and critically. 

Key Topics Covered

  • Building the mental model: statistical prediction is not really “intelligence”.
  • Differentiating GenAI from traditional software and earlier forms of artificial intelligence.
  • Critically analyzing GenAI constraints (such as bias, hallucinations).
  • Grounding creative use in realistic expectations.
  • Generating text using a large language model.

Learning Objectives

By the end of this module, participants will be able to:

  • Explain how GenAI works in plain language.
  • Compare GenAI with traditional software and prior AI technologies.
  • Identify common constraints such as bias and hallucinations.
  • Articulate both the opportunities and limitations of Generative AI.
  • Generate text output from a Large Language Model.