Section 1
Evolution of Artificial Intelligence
The handbook's first five chapters follow machine intelligence from Pascal's adding machine to the coding agents of 2026 and assume no background in AI. They show how reasoning became computation, what counts as an AI system under research, standards and legal definitions, how to test labels such as narrow, general and agentic, why AI's booms turned into winters, and when a decision belongs to hand-written rules, a learned model or a person. All five chapters are Beginner and work documented cases with real numbers, from the 2025 Turing test and the Air Canada chatbot ruling to XCON's 6,200 rules and Australia's Robodebt scheme.
Chapters
5
Lesson Reading
3 hr 15 min
Labs
5
Interview Sets
5
Chapter Path
Chapter 1The Dream of Thinking MachinesLevel: Beginner50 minutesFree previewChapter 2What is Artificial Intelligence?Level: Beginner30 minutesFree previewChapter 3Types of Artificial IntelligenceLevel: Beginner35 minutesAcademy PassChapter 4AI Summers, AI Winters & the Rise of Modern AILevel: Beginner40 minutesAcademy PassChapter 5Symbolic AI vs Machine LearningLevel: Beginner40 minutesAcademy Pass