Maybe it's just different learning styles. Some people, me included, like to start getting some immediate real world results to keep it relevant and form some kind of intuition, then start peeling back the layers to understand the underlying principles. With fastAI you are already doing this by the 3rd lecture.

Like driving a car, you don't need to understand what's under the hood you start driving, but eventually understanding it makes you a better driver.