TensorFlow: Data and Deployment Specialization

A comprehensive specialization that equips learners with essential skills in deploying machine learning models using TensorFlow across various platforms.

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access	Lifetime
level	Medium
certificate	Certificate of completion
language	English

#Coursera

Description
Additional information

What will you learn in this TensorFlow: Data and Deployment Specialization Course

Run machine learning models directly in web browsers using TensorFlow.js.
Prepare and deploy models on mobile devices utilizing TensorFlow Lite.

Access, organize, and process training data efficiently with TensorFlow Data Services.
Explore advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard.

Program Overview

1. Browser-based Models with TensorFlow.js
⏳ 18 hours
Learn to train and run machine learning models in any browser using TensorFlow.js. Build a computer vision project that recognizes and classifies objects from a webcam.

2. Device-based Models with TensorFlow Lite
⏳ 10 hours
Understand how to run machine learning models in mobile applications. Prepare models for lower-powered, battery-operated devices, and execute models on both Android and iOS platforms.

3. Data Pipelines with TensorFlow Data Services
⏳ 11 hours
Perform efficient ETL tasks using TensorFlow Data Services APIs. Construct train/validation/test splits of datasets and optimize data pipelines for better performance.

4. Advanced Deployment Scenarios with TensorFlow
⏳ 12 hours
Explore various deployment scenarios, including using TensorFlow Serving for web inference, TensorFlow Hub for transfer learning, and TensorBoard for model evaluation. Delve into federated learning to retrain deployed models while maintaining data privacy.

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Job Outlook

Prepares learners for roles such as Machine Learning Engineer, AI Developer, and Data Scientist.
Applicable in industries like mobile app development, web development, and AI model deployment.
Enhances employability by providing practical skills in deploying machine learning models across various platforms.
Supports career advancement in fields requiring expertise in TensorFlow and model deployment strategies.

9.7Expert Score

Highly Recommended

An in-depth specialization that offers practical insights into deploying machine learning models, suitable for professionals aiming to expand their expertise in TensorFlow and real-world applications.

Value

Price

9.2

Skills

9.6

Information

9.7

PROS

Taught by experienced instructors from DeepLearning.AI.
Hands-on projects reinforce learning.
Flexible schedule suitable for working professionals.
Provides a shareable certificate upon completion.

CONS

Requires prior programming experience in Python and familiarity with machine learning concepts.
Some advanced topics may be challenging without prior experience in TensorFlow.