AI General Literacy Course
An applied AI literacy course that turns prompt engineering, workflow thinking, and everyday AI use into a structured learning experience.
Overview
AI General Literacy Course is an applied curriculum project built to help learners move from casual experimentation with AI tools to more structured, reflective, and practical use. Instead of treating AI as a novelty topic, the course frames it as a literacy problem: how do people ask better questions, judge outputs, and turn generative tools into usable workflows?
What it does
- Introduces prompt fundamentals through low-threshold, repeatable exercises
- Uses practical patterns such as table prompts, fill-in prompts, perspective prompts, and "ask before answering" structures
- Connects prompt design to real tasks including writing, job preparation, presentation planning, content production, and image generation
- Helps learners refine, compare, and iterate prompts rather than stopping at a first response
Why it matters
Many introductory AI courses stay at the level of tool demos or trend talk. This project takes a different approach. It treats AI literacy as a practical capacity: knowing how to frame a task, structure a request, evaluate an answer, and revise a workflow when the output is weak. In that sense, the course is not only about using AI, but about building judgment, decomposition, and procedural clarity.
Design focus
The course guide was designed around accessibility and transfer. Each module aims to be immediately usable, scenario-based, and easy to adapt across different learners and settings. The emphasis is not on mastering a single model, but on developing prompt literacy and workflow awareness that remain useful even as tools change.