AI Literacy & Prompting
The planned outline of 11 modules. Lessons are written, run and reviewed before they are published.
Planned outline
- Module 1
How AI works, in plain words
Coming soon - Module 2
What AI does well and where it fails
Coming soon - Module 3
Prompting: from a first try to reliable results
Coming soon - Module 4
Checking AI output
Coming soon - Module 5
Privacy, safety and security
Coming soon - Module 6
AI at work
Coming soon - Module 7
Learning and studying with AI
Coming soon - Module 8
AI in personal life
Coming soon - Module 9
Fairness, rights and society
Coming soon - Module 10
AI agents and automation
Coming soon - Module 11
Choosing tools and keeping up
Coming soon
Related tools
LLM Token Counter Exact token counts for OpenAI and open models — your text never leaves the browser. Text Summarizer (Extractive) Pick the key sentences of any article — your own words, never rewritten. Readability Checker Seven readability formulas with their workings, plus the hardest sentences to fix.
Official documentation
- www.nist.gov/itl/ai-risk-management-framework (nist.gov)
- huggingface.co/docs/hub/model-cards (huggingface.co)
- developers.google.com/machine-learning/crash-course/llm (developers.google.com)
More in AI and machine learning
- Machine Learning (scikit-learn) (coming soon)
- Building LLM Applications (coming soon)
- Artificial Intelligence (classical AI and soft computing) (coming soon)
- Mathematics for Machine Learning (coming soon)
- All AI & ML tracks
- How we make lessons