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
Related Topics for further study
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
IntermediateCourse Format
- Self-paced
- Project-based
Similar Courses
- Machine Learning for IoT Course
- IoT Developer Course
Related Education Paths
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.Key Aspect Users Liked About This Course
Hands-on approach to learningPros from User Reviews
- Comprehensive curriculum
- Excellent instructors
- Real-world projects
- Great community support
Cons from User Reviews
- Requires a strong foundation in Python programming
- Some technical issues reported during the course
- Difficult for beginners to follow at times
Intel® Edge AI for IoT Developers
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15 billion by 2023, at an Annual Growth Rate of 27%. ( MarketsandMarkets ) In the Edge AI for IoT Developers Nanodegree program,...
