Machine Learning-Enhanced Course Recommendation API

Create a sophisticated recommendation API using FastAPI and scikit-learn that generates personalized course suggestions for students based on their academic history, learning styles, and career goals. Implement a machine learning pipeline that continuously trains recommendation models using collaborative filtering and content-based algorithms. Design secure endpoints that handle complex query parameters, including student skill levels, previous course performance, and career trajectory data. Include comprehensive logging and model performance tracking mechanisms.