I'm fluent with scikit-learn. How different is it to use Concrete ML for Machine Learning?

Concrete ML provides scikit-learn compatible estimators that perform quantization and compile to FHE. You can see several examples such as logistic regression and Random Forest.

So it should be very easy to switch your ML pipeline from scikit-learn to use FHE by replacing the scikit-learn models with their Concrete ML equivalents.