What mistakes should MCA students avoid while learning AI?

Artificial intelligence enables software to perform tasks that normally require aspects of human intelligence. For MCA students, useful foundations include data, algorithms, model evaluation and responsible use of AI. Students can judge their progress in AI by solving problems independently instead of depending entirely on guided tutorials. This point is specifically relevant to the AI aspect of MCA study. For this specific question about AI, the practical takeaway is to relate the concept to your own MCA learning goal. In other words, this guidance addresses: What mistakes should MCA students avoid while learning AI?