AI for EverybodyLearn the intelligence era with better judgment.

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Current learning moveUnderstand

Follow material in an order that builds understanding.

Do nowUse this path’s learning plan

Your guide

General AI Literacy

Your learning move

UnderstandBuild ideas in a deliberate order.

Why this page exists

Learn is for subjects where sequence matters. The foundation comes first, the core adds depth, and thematic paths apply the ideas to a direction.

What you will leave with

Build enough connected understanding to follow ordinary AI debate, inspect systems and claims, make practical privacy and verification decisions, and keep learning without depending on headlines, marketing, or fear.

Before you begin

Every path states its level and time. AI from Zero assumes nothing.

Do this now

Choose the earliest route that feels new to you; do not start with the longest course by default.

Do now on this pageUse this path’s learning planThe plan states the outcome, time, prerequisite, immediate action, and prepared continuation.Another valid routeCompare every pathChoose by outcome, time, and subject rather than card position.

Account

Core path · approximately five hours

General AI Literacy

Plan for this page

Build connected understanding by moving through an explicit order.

You will leave with: explain the main layers of an AI system and how they relate distinguish data, training, inference, retrieval, tools, workflows, and agents judge generated claims according to support, recency, uncertainty, and stakes place privacy, permission, human review, logging, and recovery controls analyze work and social claims without collapsing tasks, institutions, and futures state what you know, what remains uncertain, and what evidence would change your view
Time: 310 min
Before you begin: AI from Zero is useful preparation, but it is not a locked prerequisite. Each unit states the concepts it uses.
Do this now: Read the intended outcomes, then open the first unfinished unit.

Prepared next stepWhy AI now?

Visual fieldA connected path from systems to use

Route map

Ten connected units

01Why AI now?
02The map of artificial intelligence
03Data, patterns, and learning
04Models, training, and inference
05How generative AI produces output
06Prompts, context, retrieval, and tools
07Error, hallucination, and verification
08Privacy, permissions, and human control
09From chatbot to agent
10AI in society and possible futures

By the end of this path, you should be able to

explain the main layers of an AI system and how they relate
distinguish data, training, inference, retrieval, tools, workflows, and agents
judge generated claims according to support, recency, uncertainty, and stakes
place privacy, permission, human review, logging, and recovery controls
analyze work and social claims without collapsing tasks, institutions, and futures
state what you know, what remains uncertain, and what evidence would change your view

25 min

Why AI now?

Place the current generative-AI moment inside a longer history of ideas, infrastructure, interfaces, investment, and adoption.

Open unit

30 min

The map of artificial intelligence

Relate perception, prediction, generation, planning, robotics, learning, and ordinary software without forcing a false hierarchy.

Open unit

30 min

Data, patterns, and learning

Explain how examples, labels, objectives, selection, and evaluation influence learned behavior and its limits.

Open unit

25 min

Models, training, and inference

Separate building a model, running it, wrapping it in a product, and operating the resulting system.

Open unit

35 min

How generative AI produces output

Use tokens, context, prediction, sampling, and multimodal representations as a useful conceptual model without pretending to describe every architecture.

Open unit

30 min

Prompts, context, retrieval, and tools

Recognize which information and capabilities change an output, and why access to a source or tool does not guarantee correct use.

Open unit

35 min

Error, hallucination, and verification

Classify claims, inspect support, match verification effort to consequences, and preserve uncertainty when evidence is incomplete.

Open unit

30 min

Privacy, permissions, and human control

Decide what data and actions an AI system may receive, retain, reveal, or execute, and where control must remain.

Open unit

30 min

From chatbot to agent

Analyze goals, tools, state, planning, permissions, action, monitoring, and recovery instead of judging an agent from its name.

Open unit

40 min

AI in society and possible futures

Connect tasks, institutions, education, truth, infrastructure, governance, power, and AGI uncertainty without turning forecasts into facts.

Open unit

What you will make

My AI use and judgment guide

My five-sentence explanation of AI
My verification rule
My privacy and permission rule
My next learning goal

Path completion artifact

My AI use and judgment guide

Synthesize the rules and explanations you want to carry into a new situation. It can be revised or exported through My Map.

My five-sentence explanation of AIMy verification ruleMy privacy and permission ruleMy next learning goalComplete all ten units before saving the path artifact.

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