There's an assumption that a short course must be a thin one, skipping things a longer course would cover properly. That's true of some short courses. It doesn't have to be true of all of them, and it's worth knowing the difference before you judge a course by its runtime.
A short course gets shallow when it tries to cover too much ground and compresses everything into surface-level summaries. A short course stays thorough when it does the opposite — narrows its scope to exactly what a beginner needs for real situations, and cuts everything that's interesting but not essential. Length isn't really about depth, it's about what got included in the first place.
When I built my own course, the goal wasn't "make it short," it was "cut anything that doesn't directly help someone's actual life," and it turned out short was just what was left over once the padding was gone. Real examples, common tasks, one skill built on the last one — no padding required to make it feel substantial.
If you're evaluating any short course, beginner AI or otherwise, ask what got left out and why, not just how long it runs.
On Ramp AI is short because it's focused, not because it's incomplete. Here's what's inside.