TensorFlow Specialization: Data and Deployment

Continue to develop your TensorFlow skills by exploring a wide range of deployment scenarios and discovering new ways to use data more effectively when training machine learning models. In this four-course specialization, you’ll learn how to put your machine learning models in the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and mobile apps. Learn how to consume built-in datasets with just a few lines of code, explore data pipelines with TensorFlow data services, use APIs to manage data partitioning, handle all types of unstructured data, and retrain deployed models with user data while preserving data privacy. Apply your knowledge to a variety of deployment scenarios and get familiar with TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more. Industries around the world are adopting artificial intelligence. This specialization from Lawrence Moroney and Andrew Ng will help you develop and deploy machine learning models across devices and platforms faster and more accurately than ever before.