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.
Get more details
Visit 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
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Electronics & Embedded Technology Computer Sciences Machine Learning View 1215 other programmes in Computer Sciences in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score 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 programme websiteTuition Fee
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months. -
In-State
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Intel Edge AI for IoT Developers.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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