Mask Detector with Python & TensorFlow: Build & Deploy

About this course

By the end of this course, learners will be able to analyze images with OpenCV, build and train deep learning models with TensorFlow, design interactive applications, and deploy AI solutions on AWS. This hands-on project-based course is designed for learners who want to move beyond theory and apply machine learning to a real-world challenge: COVID-19 mask detection. Starting with the fundamentals of image handling, resizing, and annotation, learners progress into face detection techniques using Haar Cascades and explore deep learning with Convolutional Neural Networks. The course emphasizes practical skills, guiding participants step by step from data preprocessing to building a functional mask detection app. A unique feature of this course is its end-to-end workflow: not only will learners train an efficient MobileNetV2 model, but they will also integrate it into an interactive front-end application and deploy it to AWS for global accessibility. This complete journey—from concept to cloud—ensures learners gain both technical knowledge and professional deployment skills. Whether you’re an aspiring data scientist, AI enthusiast, or developer aiming to add practical deep learning projects to your portfolio, this course provides a comprehensive, real-world learning experience.