Intro to AI Concepts (No Math Overload)
Understand core AI ideas and where they fit in real products.
Created by David Schneider
About this course
From supervised learning to evaluation and ethics, learn how to reason about AI systems.
What you will learn
- Core ML concepts
- Training vs inference
- Evaluation metrics
- Bias & ethics
- Product thinking
This course includes
- On-demand video (demo)
- Examples & case studies (demo)
- Full lifetime access (demo)
- Certificate of completion (demo)
Requirements
- Curiosity about AI products
Who this course is for
- Beginners who want AI fundamentals
- Product and business learners
Course content
3 sections · 9 lectures · 1h 39m total length
AI foundations 3 lectures · 32m
▶
What AI can and cannot do
10m
▶
Training vs inference
12m
▶
Data and labels
10m
Evaluation 3 lectures · 33m
▶
Accuracy and tradeoffs
11m
▶
Testing in real products
12m
▶
Monitoring basics
10m
Ethics & product thinking 3 lectures · 34m
▶
Bias and fairness
12m
▶
Privacy considerations
10m
▶
Where to apply AI
12m
Instructor
David Schneider
Data & AI Educator
D
David simplifies data science, AI basics, and practical analytics for everyday learners.
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