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.
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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- Edge AI Fundamentals with OpenVINO™
- Hardware for Computer Vision & Deep Learning Application Deployment
- Optimization Techniques and Tools for Computer Vision & Deep Learning Applications
Check out the full curriculumVisit official programme website
- 3 months
Start dates & application deadlines
DisciplinesElectronics & Embedded Technology Computer Sciences Machine Learning View 120 other programmes in Electronics & Embedded Technology in United States
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
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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
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Tuition FeeVisit official programme website
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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Apply and win up to €10000 to cover your tuition fees.