Decide where AI genuinely helps, whether to build or buy, how to measure success, and what could go wrong — before anyone writes code.
For managers, product owners and anyone asked "can we use AI for this?". Most AI projects that fail do so for reasons that were visible at the start: the wrong problem, no data, no way to tell whether it works. This course gives you a short, repeatable way to plan one properly.
No technical background is needed.
4 lessons · 54 min
A quick test for whether AI is the right tool.
The three ways to get an AI capability, and how to choose.
Baselines, metrics and the test set you will judge by.
Run a safe pilot and plan for what happens after launch.
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What a model actually learns from data, the three main kinds of problem, and why a model that looks perfect often isn't.
A free introduction to AI for non-experts — no programming or complicated maths required.
A non-technical course by Andrew Ng on what AI can and can't do, and how organisations adopt it.