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Moamen Elmasry
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AI in Plain English

Understand AI, one short lesson at a time. Everyday examples and hands-on activities help you learn how it works and explain it to others.

Free. No account needed. Learn at your own pace, on any device.

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Your journey

Find your next lesson, or open a chapter to revisit it.

  1. 1Chapter 1You already use AILoading your progress…

    1. Lesson 01 · 5 minPac-Man: 4 ghosts, 4 rulesLoading your progress…
    2. Lesson 02 · 5 minNetflix, maps and spam filtersLoading your progress…
    3. Lesson 03 · 5 minChatGPT: how AI createsLoading your progress…
    4. Lesson 04 · 5 minSame question, same answer?Loading your progress…

  2. 2Chapter 2How it worksLoading your progress…

    1. Lesson 05 · 5 minPredicting the next word, again and againLoading your progress…
    2. Lesson 06 · 5 minTokens: how AI breaks up textLoading your progress…
    3. Lesson 07 · 5 minHow AI learned to readLoading your progress…
    4. Lesson 08 · 8 minHow AI learned to answerLoading your progress…

  3. 3Chapter 3Its limitsLoading your progress…

    1. Lesson 09 · 6 minWhy AI sounds confident when it’s wrongLoading your progress…
    2. Lesson 10 · 6 minWhat AI remembers: the context windowLoading your progress…
    3. Lesson 11The detail it missesComing soon
    4. Lesson 12 · 6 minIt doesn't think like usLoading your progress…

  4. 4Chapter 4Using AI wellLoading your progress…

    1. Lesson 13 · 6 minContext is everythingLoading your progress…
    2. Lesson 14 · 5 minShow an exampleLoading your progress…
    3. Lesson 15 · 6 minTake it step by stepLoading your progress…
    4. Lesson 16AI or a search engine?Coming soon
    5. Lesson 17Check an answer in 30 secondsComing soon
    6. Lesson 18Your data: what to share, what to keepComing soon
    7. Lesson 19You’re responsible for the resultComing soon

  5. 5Chapter 5Making sense of the newsComing soon

    1. Lesson 20Models, apps and the companies behind themComing soon
    2. Lesson 21Open and closed modelsComing soon
    3. Lesson 22On your device or in the cloud?Coming soon
    4. Lesson 23Large and small modelsComing soon
    5. Lesson 24See, hear, speakComing soon
    6. Lesson 25Why some models “think” before answeringComing soon
    7. Lesson 26How huge models stay fastComing soon
    8. Lesson 27AI that can read your documentsComing soon
    9. Lesson 28Making sense of AI rankings and announcementsComing soon

  6. 6Chapter 6AI and the worldComing soon

    1. Lesson 29Work: what’s changing, what isn’tComing soon
    2. Lesson 30Deepfakes: how to spot themComing soon
    3. Lesson 31What AI picks up from its training dataComing soon
    4. Lesson 32The energy behind every answerComing soon
    5. Lesson 33The AI Act, explainedComing soon
    6. Lesson 34Make sense of an AI news headlineComing soon

  7. 7Chapter 7The age of agentsComing soon

    1. Lesson 35AI agents: from answering to actingComing soon
    2. Lesson 36What can go wrong with AI agents?Coming soon
    3. Lesson 37MCP: a universal connectorComing soon
    4. Lesson 38Why Microsoft created Work IQComing soon
    5. Lesson 39The harness: what makes a model an agentComing soon
    6. Lesson 40Orchestration: getting agents to work togetherComing soon

  8. 8Chapter 8Your turn to buildComing soon

    1. Lesson 41Vibe coding: getting it rightComing soon
    2. Lesson 42Final project: build a mini-game in HTMLComing soon