Beginner · 1 hr 5 min · 4 lessons
Applied AI Foundations
Build AI systems around a decision, not a demo.
What you will learn
- Frame a business decision as a prediction task
- Build an evaluation set that reflects reality
- Judge whether a model is good enough to ship
- Explain a model result to a non-technical stakeholder
Curriculum
Framing the problem 2 lessons
- Reading What problem are you solving? Free preview 12 min
- Reading Turning a decision into a task 15 min
Evaluation 2 lessons
- Reading Build the test set first 18 min
- Reading Is it good enough to ship? 20 min
About this course
This course is about the part of applied AI that decides whether a project succeeds: framing the problem and evaluating the result.
You will work through:
- Turning a business decision into a prediction task
- Building an evaluation set before building a model
- Knowing when a model is good enough to ship
No prior machine-learning experience is assumed, but you should be comfortable writing code.
Requirements
- Comfortable writing code in any language
- No machine-learning background required
Who this is for
- Engineers moving into applied AI
- Technical leads scoping an AI project