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Search every EdSutra Unit by topic, grade or level, and download printable PDFs: a curriculum for each grade, the scope and sequence and teaching guides.
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- Teaching guide: ai-alphabet
- Teaching guide: what-is-ai
- Teaching guide: how-machines-learn
- Teaching guide: neural-networks
- Teaching guide: seeing-sensing-intro
- Teaching guide: unimodal-ai
- Teaching guide: multimodal-ai
- Teaching guide: image-gen
- Teaching guide: audio-ai
- Teaching guide: language-ai-intro
- Teaching guide: natural-language
- Teaching guide: text-classification
- Teaching guide: summarization
- Teaching guide: translation-multilingual
- Teaching guide: sampling-studio
- Teaching guide: prompting-ai
- Teaching guide: prompt-literacy
- Teaching guide: eval-writing
- Teaching guide: data-kitchen
- Teaching guide: validation-lab
- Teaching guide: human-in-the-loop
- Teaching guide: model-collapse
- Teaching guide: ai-ethics
- Teaching guide: ai-accountability
- Teaching guide: carbon-cost
- Teaching guide: responsible-use
- Teaching guide: ai-society
- Teaching guide: ai-regulation
- Teaching guide: build-your-ai
- Teaching guide: agentic-ai
- Teaching guide: ai-pipelines
- Teaching guide: on-device-ai
- Teaching guide: generative-ai
- Teaching guide: algorithmic-art
- Teaching guide: music-ai
- Teaching guide: machine-creativity
- Teaching guide: reinforcement-learning
- Teaching guide: ai-climate
- Teaching guide: ai-safety
- Teaching guide: ai-humanity
- Teaching guide: agi
- Teaching guide: what-is-intelligence-management
- Teaching guide: human-oversight
- Teaching guide: delegation-verification
- Teaching guide: agent-orchestration
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
- Teaching guides for the Module
Module 1: AI Foundations (free for everyone)
The words AI people use, and how a machine learns from examples and makes a call.
- AI Alphabet
- What is AI?
- How Machines Learn
- Neural Networks
Module 2: Seeing & Sensing
How a machine turns a picture or a video into something it can recognise.
- Seeing & Sensing
- Uni-modal AI
- Multimodal AI
- Image Generation
- Audio & Speech
Module 3: Language & Text
How a language model reads a sentence, guesses the next word and translates.
- Language & AI Intro
- The Translation Telephone
- The Meaning Detector
- The Compression Lab
- The Translation Bench
- Sampling & Decoding
- Prompting AI
- Prompt Literacy
- Evaluating AI Writing
Module 4: Data & Knowledge
Where the data comes from, what it leaves out and how it shapes what a model learns.
- Data & Datasets
- Validation & Trust
- Human-in-the-Loop
- The Story Copier
Module 5: Ethics & Society
Bias, accountability and the rules society sets, worked through as cases to decide.
- AI Ethics & Bias
- AI Accountability
- Environmental Ethics
- Responsible AI Use
- AI in Society
- AI & Regulation
Module 6: Building with AI
Plan an AI tool, chain its parts into a pipeline and find out what an agent can and cannot do.
- Build Your AI
- Agentic AI
- AI Pipelines
- On-Device AI
Module 7: Creative AI
How generative AI makes pictures, music and text, and whether that counts as creativity.
- Generative AI
- Algorithmic Art
- Music & AI
- Machine Creativity
Module 8: The Future of AI
AGI, AI safety and what people should keep for themselves as machines improve.
- Reinforcement Learning
- AI & Climate
- AI Safety
- AI & Humanity
- AGI & Superintelligence
Module 9: Intelligence Management
Match AI tools to the work they do best, check their results and keep a person responsible for the outcome.
- What Is Intelligence Management?
- Agent Orchestration
- Delegation & Verification
- Human Oversight
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