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Course Catalog Computer Basics

AI Usage & Prompt Engineering

4 units / 22 items

This course introduces students to the rapidly developing world of AI, with an emphasis on the large language models (LLMs) that power today's AI assistants — like OpenAI's ChatGPT, Google's Gemini, and Anthropic's Claude. These tools are now multimodal: alongside text, they can understand images, listen and speak, work with documents, and generate images of their own. Designed for beginners, the course covers the practical skills for engaging with AI responsibly and effectively.

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Course Objectives

Unit 1

Fundamentals of AI

How generative AI works under the hood — from neural networks and training to the LLMs and image models behind today's AI assistants.

  1. SlideshowIntro to Generative AI
  2. QuizGenerative AI
  3. VideoAI art, explained
  4. VideoWhy Neural Networks can learn (almost) anything
  5. LinkNeural Network Playground
  6. VideoWatching Neural Networks Learn
Unit 2

Ethical AI Usage

Overview of AI and ethics of engagement for generative purposes.

  1. SlideshowAI Ethics
  2. ArticleAI Fairness Isn't Just an Ethical Issue
  3. ArticleGenerative AI Has a Visual Plagiarism Problem
  4. VideoAI can do your homework. Now what?
  5. CheckpointReading - Responsible AI Use
  6. Sign up for a free ChatGPT, Gemini, or Claude account.
  7. CheckpointHands-on Generative AI Exercises
Unit 3

Problem-Solving with AI

Principles of clear communication with AI through problem formulation.

  1. ReadingPrompt Engineering Approaches and Strategies
  2. ArticlePrompt Engineering 101
  3. SlideshowPrompt Engineering vs. Problem Formulation
  4. CheckpointReading - Working with Modern AI Tools
  5. CheckpointFinal Assignment - AI Application

Additional Resources

  1. Video"But what is a neural network?"
  2. VideoTransformers (how LLMs work) explained visually
  3. VideoThe moment we stopped understanding AI
  4. LinkWhat Is ChatGPT Doing... and Why Does It Work?
  5. ArticlePrompt Engineering 101 (Part II): Advanced Techniques