2. How technical is the content—will I need to code or handle math-heavy modules?

The course balances classical vision algorithms and deep learning; you’ll learn concepts like feature extraction, segmentation, and neural models.
It assumes familiarity with related fields like AI, linear algebra, and probability, which provide a foundation without being overwhelming.
Although coding isn’t the main focus, you’ll likely engage in conceptual modeling and visualization—especially for neural network understanding.
There’s no heavy math derivation—but understanding principles like transformations and network training is important.
Ethical implications of AI-generated visuals also invite reflection beyond pure technical work.