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Intel® Edge AI for IoT Developers

3 Months

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Brief Introduction

70% of data being created is at the edge, and only half of that will go to the public cloud; the rest will be stored and processed at the edge, which requires a different kind of developer. Demand for professionals with the Edge AI skills will be immense, as the Edge Artificial Intelligence (AI) software market size is forecasted to grow from $355 Million in 2018, to $1.15 billion by 2023, at an Annual Growth Rate of 27%.( MarketsandMarkets ) In the Edge AI for IoT Developers Nanodegree program,

Course Summary

This course teaches developers how to build and deploy AI solutions for IoT devices using Intel hardware and software tools.

Key Learning Points

Learn how to use the OpenVINO toolkit to optimize models for Intel hardware
Understand how to create and deploy AI solutions for edge devices
Gain hands-on experience with popular IoT platforms like Raspberry Pi and UP Squared

Learning Outcomes

Develop and deploy AI models on edge devices using Intel hardware and software tools
Optimize models for performance on Intel hardware using the OpenVINO toolkit
Gain hands-on experience with popular IoT platforms like Raspberry Pi and UP Squared

Prerequisites or good to have knowledge before taking this course

Familiarity with programming in Python
Basic understanding of machine learning concepts

Course Difficulty Level

Intermediate

Course Format

Self-paced
Project-based

Similar Courses

Machine Learning for IoT Course
IoT Developer Course

Related Education Paths

Intel Edge AI for IoT Developers Nanodegree Plus

Notable People in This Field

Adrian Rosebrock
Kirk Borne

Related Books

Description

Lead the development of cutting-edge Edge AI applications that are the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

Knowledge

This Nanodegree program will prepare you for roles such as IoT Developer, IoT Engineer, Deep Learning Engineer, Machine Learning Engineer, AI Specialist, VPU/CPU/FPGA Developer and more for companies and organizations looking to innovate their hardware on the Edge.

Outline

Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. You will identify key hardware specifications of various hardware types (CPU, VPU, FPGA, and Integrated GPU), and utilize the Intel® DevCloud for the Edge to test model performance on the various hardware types. Finally, you will use software tools to optimize deep learning models to improve performance of Edge AI systems. Lead the development of cutting-edge Edge AI applications that are the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

Summary of User Reviews

Discover the Intel Edge AI for IoT Developers Nanodegree program and learn how to develop and deploy edge AI solutions using Intel's OpenVINO toolkit. This course has received positive reviews for its comprehensive curriculum and hands-on approach to learning.