DeepLearning.AI
Introduction to On-Device AI
DeepLearning.AI

Introduction to On-Device AI

Taught in English

Krishna Sridhar

Instructor: Krishna Sridhar

Project

Build in-demand job skills with step-by-step instructions

Beginner level

Recommended experience

1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Learn to deploy AI models on edge devices like smartphones, using their local compute power for faster and more secure inference.

  • Explore converting PyTorch/TensorFlow models for device compatibility and quantize them for better performance and reduced model size.

  • Learn about device integration, including runtime dependencies, and how GPU, NPU, and CPU compute unit utilization affect performance.

Details to know

Recently updated!

June 2024

Project

Build in-demand job skills with step-by-step instructions

Beginner level

Recommended experience

1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
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About this project

Instructor

Krishna Sridhar
DeepLearning.AI
1 Course148 learners

Offered by

DeepLearning.AI

How you'll learn

  • Hands-on, project-based learning

    Practice new skills by completing job-related tasks with step-by-step instructions.

  • No downloads or installation required

    Access the tools and resources you need in a cloud environment.

  • Available only on desktop

    This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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New to Mobile and Web Development? Start here.

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