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Overview
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, at this Intel Edge AI for IoT Developers course at Udacity you will use software tools to optimize deep learning models to improve performance of Edge AI systems.
Career:
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.
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Visit official programme websiteProgramme Structure
Content:
- Edge AI Fundamentals with OpenVINO™
- Hardware for Computer Vision & Deep Learning Application Deployment
- Optimization Techniques and Tools for Computer Vision & Deep Learning Applications
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Visit official programme websiteKey information
Duration
- Part-time
- 3 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Electronics & Embedded Technology Computer Sciences Machine Learning View 115 other programmes in Electronics & Embedded Technology in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This Nanodegree program accepts everyone, regardless of experience and specific background.
To succeed in this program, students should have the following:
- Intermediate knowledge of programming in Python
- Experience with training and deploying deep learning models
- Familiarity with different DL layers and architectures (CNN based)
- Familiarity with the command line (bash terminal)
- Experience using OpenCV
Make sure you meet all requirements
Visit official programme websiteTuition Fee
Visit official programme websiteFunding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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