A. AI engineering can be challenging to study due to its multidisciplinary nature, which combines concepts from computer science, mathematics, statistics, and domain-specific knowledge. It requires a solid foundation in programming, algorithms, machine learning, and deep learning. However, with dedication, a structured learning path, and practice, it is possible to grasp the necessary skills and become proficient in AI engineering.