What mistakes should students avoid when choosing an AI course?
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One common mistake is selecting a course because its title sounds modern without checking what students actually learn. Review the syllabus, practical subjects, laboratory facilities, faculty and project opportunities. Another mistake is ignoring eligibility requirements, fees or the institution’s recognition. Ask whether the programme covers programming, mathematics, data structures and machine learning in a structured way. If possible, speak with current students or graduates about their learning experience. Compare several options before making a decision, and verify all admission details through official college sources rather than relying only on advertisements.