Build a nontechnical mental model of machine intelligence, tracking the evolution from fixed automation to machine learning and deep learning. You'll learn what changed at each stage, why learning from patterns became a business necessity, and how these approaches differ. This conceptual foundation helps you relate major AI concepts to the tools your teams use every day.
Overview
Syllabus
- Unit 1: Understanding Fixed Instructions
- Spotting Rule-Based Workplace Systems
- When Rules Stop Working
- Explaining Rules Before the Meeting
- Unit 2: Learning From Examples
- Rules Written or Patterns Learned
- Quick Check: Examples, Training, Model
- Walk a Colleague Through the Learning Flow
- Unit 3: Understanding Deep Learning
- Quick Check: Where Deep Learning Fits
- Match the Deep Learning Ideas
- Explaining Deep Learning Without Jargon
- Unit 4: Mapping the Modern AI Landscape
- From Rules to Modern AI
- Matching Systems to Their Underlying Approaches
- Mapping the AI Landscape for Milo