COURSE 28Beginner7 IN-DEPTH LESSONS

Reference and Maps

Comprehensive navigation aids: cross-link index, mathematical formula reference sheets, study roadmaps, and capstone project ideas.

Start Lesson 1: Curriculum maps and glossaries →← All 29 Courses

Course Syllabus & Units

Unit 1

Overview

1 lessons
1.1L1

Curriculum maps and glossaries

The **reference course** holds maps: how Courses 01–29 connect, glossary entries, and “where to go next” paths for different goals.

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Unit 2

Glossary

1 lessons
2.1L1

AI glossary

A living **glossary** of terms used across ANN Learn / AI LEARNING CENTER. Start here when a chapter word feels slippery.

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Unit 3

Paths

1 lessons
3.1L1

Paths: literacy, builder, researcher-lite

The canonical recommended paths through AI LEARNING CENTER, expanded from Course 01’s how-to-learn chapter—for navigation and future Learn UI.

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Unit 4

Index

1 lessons
4.1L1

Cross-link index

A navigation index of recurring themes → chapter slugs across the curriculum (verification, RAG, agents, safety, labs).

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Unit 5

Capstone

1 lessons
5.1L1

Capstone project ideas

Suggested end-of-path projects that prove skill without paywalled credentials: build, evaluate, document, and disclose limits.

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Unit 6

Migration

1 lessons
6.1L1

ANN legacy slug redirects

The migration map from live ANN Learn’s ~48 slugs into AI LEARNING CENTER courses—so KAI can 301/redirect without breaking links.

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Unit 7

Review

1 lessons
7.1L1

Wave 1 review checklist

MASTER’s review gate before any KAI handoff: how to audit the AI LEARNING CENTER database for completeness, policy compliance, and readiness.

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