AIAcademy realm
Building And Automation
Coding, agents, APIs, workflows, evaluations, and tool-building.
70 chapters · 260 lessons · 202 structured sources. Source types include research paper, statutory legal text, engineering operations book chapter, learning science paper.
5 direct Practice Lab projects use Project spec, Verification checklist, Evaluation sheet.
Learner pathways
- I need AI for work
- I build with AI
Practice
- Spec a tiny retrieval helper · Project spec · 30 minutes
- Plan a local-model experiment · Project spec · 30 minutes
- Prototype an agent handoff checklist · Verification checklist · 30 minutes
- Estimate inference deployment tradeoffs · Project spec · 30 minutes
- Design an agent evaluation harness · Evaluation sheet · 35 minutes
Chapters
- The mental model shift
AI for Everyday Life · Talking to AI like a friend (not an oracle) · 4 lessons - How to ask, in plain English
AI for Everyday Life · Talking to AI like a friend (not an oracle) · 5 lessons - Personal use patterns that work
AI for Everyday Life · Talking to AI like a friend (not an oracle) · 4 lessons - When NOT to use AI
AI for Everyday Life · Talking to AI like a friend (not an oracle) · 4 lessons - Talking to kids about AI
AI for Everyday Life · AI for kids and parents · 4 lessons - AI for school-age kids
AI for Everyday Life · AI for kids and parents · 4 lessons - Age-appropriate boundaries
AI for Everyday Life · AI for kids and parents · 4 lessons - Family literacy
AI for Everyday Life · AI for kids and parents · 4 lessons - Study patterns
AI for Everyday Life · AI for school, study, and learning · 4 lessons - Research with AI
AI for Everyday Life · AI for school, study, and learning · 4 lessons - Academic integrity
AI for Everyday Life · AI for school, study, and learning · 4 lessons - Teachers and AI
AI for Everyday Life · AI for school, study, and learning · 4 lessons - When AI helps and when it harms
AI for Everyday Life · AI for health and personal decisions · 4 lessons - Money decisions
AI for Everyday Life · AI for health and personal decisions · 3 lessons - Relationships and emotions
AI for Everyday Life · AI for health and personal decisions · 3 lessons - Generated images
AI for Everyday Life · AI media literacy · 3 lessons - Generated audio and video
AI for Everyday Life · AI media literacy · 3 lessons - Manipulation literacy
AI for Everyday Life · AI media literacy · 4 lessons - Election and civic information
AI for Everyday Life · AI media literacy · 3 lessons - Drafting
AI for Work · Writing & communication · 5 lessons - Email and messaging
AI for Work · Writing & communication · 4 lessons - Documents and reports
AI for Work · Writing & communication · 4 lessons - Quick research
AI for Work · Research, analysis, and decisions · 4 lessons - Data analysis without being a data scientist
AI for Work · Research, analysis, and decisions · 4 lessons - Decision support
AI for Work · Research, analysis, and decisions · 4 lessons - Coding without engineering training
AI for Work · Code & technical work (light tier) · 4 lessons - Coding agents you'll meet
AI for Work · Code & technical work (light tier) · 4 lessons - Pre-meeting
AI for Work · Meetings & collaboration · 4 lessons - During and after
AI for Work · Meetings & collaboration · 3 lessons - Multi-language and inclusive teams
AI for Work · Meetings & collaboration · 4 lessons - What an agent is, at work
AI for Work · AI agents at work · 3 lessons - Agents you'll bump into
AI for Work · AI agents at work · 4 lessons - Working with agents
AI for Work · AI agents at work · 4 lessons - Agent reliability today
AI for Work · AI agents at work · 3 lessons - Your company's rules
AI for Work · Workplace policy, ethics, and disclosure · 3 lessons - Personal disclosure
AI for Work · Workplace policy, ethics, and disclosure · 3 lessons - Will my job change?
AI for Work · Workplace policy, ethics, and disclosure · 4 lessons - Burnout, dependence, and balance
AI for Work · Workplace policy, ethics, and disclosure · 3 lessons - Prompt design
Building with AI · Prompting & context engineering · 5 lessons - Context engineering
Building with AI · Prompting & context engineering · 4 lessons - Reasoning models in production
Building with AI · Prompting & context engineering · 4 lessons - Anti-patterns
Building with AI · Prompting & context engineering · 3 lessons - Calling models
Building with AI · APIs & tool use · 4 lessons - Tool calling
Building with AI · APIs & tool use · 4 lessons - MCP (Model Context Protocol)
Building with AI · APIs & tool use · 4 lessons - RAG basics
Building with AI · Retrieval and memory · 4 lessons - Beyond naive RAG
Building with AI · Retrieval and memory · 4 lessons - Memory in practice
Building with AI · Retrieval and memory · 3 lessons - Evaluation basics
Building with AI · Evaluation & safety · 4 lessons - Agent and code evals
Building with AI · Evaluation & safety · 4 lessons - Safety in your product
Building with AI · Evaluation & safety · 5 lessons - Reliability + observability
Building with AI · Evaluation & safety · 4 lessons - Agent architecture
Building with AI · Agents — design and deployment · 4 lessons - Computer use
Building with AI · Agents — design and deployment · 4 lessons - Long-horizon tasks
Building with AI · Agents — design and deployment · 3 lessons - Agent UX
Building with AI · Agents — design and deployment · 3 lessons - Adapter and lightweight tuning
Building with AI · Fine-tuning & post-training · 3 lessons - Constitutional and rule-based
Building with AI · Fine-tuning & post-training · 4 lessons - Distillation
Building with AI · Fine-tuning & post-training · 3 lessons - Open-weights training infrastructure
Building with AI · Fine-tuning & post-training · 3 lessons - MCP in production
Building with AI · Building with the protocol stack · 4 lessons - A2A — agents talking to agents
Building with AI · Building with the protocol stack · 4 lessons - Agent Skills as an open standard
Building with AI · Building with the protocol stack · 4 lessons - Putting it together
Building with AI · Building with the protocol stack · 3 lessons - Plan mode vs per-action approval
Building with AI · Agent UX patterns · 3 lessons - Tool-call surfacing and undo
Building with AI · Agent UX patterns · 4 lessons - Worktree isolation for background agents
Building with AI · Agent UX patterns · 3 lessons - Goal mode and activity streams
Building with AI · Agent UX patterns · 3 lessons - Multi-agent drift
AI Safety & Society · When agents fail · 3 lessons - Multi-agent systems
Frontiers · Long-horizon autonomy · 3 lessons