The Diabetes Prediction Using Machine Learning Techniques course provides a comprehensive approach to predicting diabetes through data science and machine learning. Topics include an introduction to machine learning, data preprocessing, and exploratory data analysis specific to diabetes prediction. Students will explore supervised learning algorithms, model evaluation, deep learning techniques, and optimization strategies. The course also covers the deployment of prediction models, preparing learners to apply these techniques in real-world healthcare settings.