Mask Detector with Python & TensorFlow: Build & Deploy

Overview

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.

Syllabus

Foundations of Computer Vision and Face Detection

This module introduces learners to the fundamentals of image processing, manipulation, and face detection using Python and OpenCV. By completing this module, learners will gain hands-on experience in reading, writing, resizing, and annotating images, while building the essential skills required to prepare for deep learning-based mask detection.

Building and Deploying the Mask Detector

This module guides learners through the complete process of building, testing, and deploying a deep learning-based mask detector. From model training with TensorFlow to app development and cloud deployment on AWS, learners will gain practical skills to create and launch a real-world AI application.