● Understand and process student input (e.g., profession they want to pursue, preferred subjects, time availability). ● Recommend an optimal course list that aligns with: ○ Career goals (e.g., becoming a Data Scientist, UX Designer, Product Manager, etc.). ○ Prerequisite constraints (ensuring required prior courses are taken). ○ Credit requirements for full-time or part-time enrollment. ○ Course availability, considering dynamic slots or past trends of course selection. ● Optionally, suggest alternatives if the first choices are unavailable.

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