Implementing Support Vector Machines with scikit-learn involves installing the library, importing modules, and creating classifiers. Using the Iris dataset, the SVC class enables model training and evaluation with confusion matrices and classification reports. Hyperparameter tuning through Grid Search enhances model performance and optimization for classification tasks.