TensorFlow: Data and Deployment

Overview

Enhance your TensorFlow expertise with the "TensorFlow: Data and Deployment" Specialization available on Coursera. This comprehensive four-course program, led by renowned instructors Laurence Moroney and Andrew Ng, will equip you with the knowledge to deploy machine learning models efficiently across various devices and platforms. Dive into training and executing models directly in web browsers and mobile apps, leveraging TensorFlow's powerful data services to manage built-in datasets and construct robust data pipelines. Master techniques for handling unstructured data, utilizing APIs for data management, and retraining models with enhanced privacy considerations. Discover essential tools like TensorFlow Serving, TensorFlow Hub, and TensorBoard, and apply your skills in a variety of deployment settings. Whether you're starting with the basics through the DeepLearning.AI TensorFlow Developer Professional Certificate or advancing to complex model creation with the TensorFlow: Advanced Techniques Specialization, this program offers valuable resources for anyone looking to advance in the AI industry. Categories include TensorFlow Courses and TensorFlow.js Courses.

Syllabus

Taught by

Laurence Moroney

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