Build practical TensorFlow skills by progressing from core concepts to a real-world face mask detection application. You’ll begin by installing and configuring TensorFlow with Python, then explore data types, variables, tensor operations, sessions, linear models, and model execution. With this foundation, you’ll apply your knowledge to a computer vision project using TensorFlow and Keras.

Through guided project work, you’ll load data, configure required packages, leverage pretrained models, train and save a model, generate predictions, and evaluate results. By the end of the course, you’ll be able to build and run simple machine learning workflows and implement a practical face mask detection system. This course is designed for learners preparing for a career in artificial intelligence or seeking to strengthen their existing machine learning skills. Its combination of TensorFlow foundations and an applied computer vision project gives you experience with the complete model workflow—from setup and training to prediction, evaluation, and deployment. Enroll to develop practical experience building deep learning solutions with TensorFlow and Keras.