TensorFlow: Data and Deployment Specialization

I continued developing my skills in TensorFlow as I learnt to navigate through a wide range of deployment scenarios and discovered new ways to use data more effectively when training my machine learning models.

In this four-course Specialization, I was able to learn how to get my ML models into the hands of real people on all kinds of devices. Started by understanding how to train and run machine learning models in browsers and in mobile applications. Learnt how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data, and retrain deployed models with user data while maintaining data privacy. Applied my knowledge in various deployment scenarios and got introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.

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Industries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng helped me to develop and deploy machine learning models across any device or platform faster and more accurately than ever.

(Specialization Certificate here!)