TensorFlow: Data and Deployment Specialization
Master advanced TensorFlow deployment across browsers, mobile devices, and servers with hands-on training in data pipelines and model optimization.
Master advanced TensorFlow deployment across browsers, mobile devices, and servers with hands-on training in data pipelines and model optimization.
This comprehensive specialization teaches professionals how to deploy machine learning models across various platforms and devices. From browser-based implementations using TensorFlow.js to mobile deployments with TensorFlow Lite, students learn practical deployment strategies and data pipeline optimization. The program covers essential topics like model training, inference optimization, data services integration, and advanced deployment scenarios including TensorFlow Serving and federated learning.
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English
বাংলা, Tiếng Việt, پښتو, 2 more
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What you'll learn
Run machine learning models in browsers using TensorFlow.js. Deploy models on mobile devices with TensorFlow Lite. Optimize data pipelines using TensorFlow Data Services. Implement advanced deployment scenarios with TensorFlow Serving. Use TensorFlow Hub for transfer learning. Apply federated learning while maintaining data privacy. Visualize and analyze models with TensorBoard.
Skills you'll gain
This course includes:
52 Hours PreRecorded video
Course assessments and hands-on projects
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 courses in this program
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Course 1 · 8 Hours to complete · 12 modules
Teamwork Skills: Communicating Effectively in Groups
Course 2 · 11 Hours to complete · 4 modules
GO Programming for Everyone: Part 1
Course 3 · 17 Hours to complete · 6 modules
Agile Strategy for Competitive Advantage
Course 4 · 2 Hours to complete · 1 modules
Fee Structure
Payment options
Financial Aid
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