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The Workshops

Join this Hands-On AI Student Workshop to learn to build and deploy AI into applications with the Intel® DevCloud and the Intel® Distribution of OpenVINO™ Toolkit. 

AI is no longer the domain of data scientists with deep knowledge of mathematics, statistics, and probability. AI is very accessible with the Intel® DevCloud and the OpenVINO™ toolkit. In this interactive workshop you’ll be exposed to code within minutes. 

AI based computer vision is projected to make a $144B impact to the global economy by 2028. It’s now a core part of computer science and you’re in a demanding field with career growth for years to come. Learn how to apply and deploy AI into applications. 

This won’t be a boring lecture series, it will be filled with coding exercises. 

  • In the first few minutes you’ll get hands-on coding experience in the Intel® DevCloud 
  • You’ll learn about different AI-based computer vision use cases 
  • Experience with tutorials and sample applications during the workshop 
  • Access over 200 free AI models in the Intel® Open Model Zoo 
  • You’ll have access to the Intel® DevCloud, a cloud development environment to develop projects for school 

Join Academic Programs Manager Jay Burris and Application Engineers for this actionable learning experience. 

Who Should Attend

Intel DevCloud University workshops are intended for University students, but all are welcome to join!

What You'll Learn

OpenCV Tutorial Jupyter Notebook


Learn about the most common use cases of OpenCV for general image manipulation, foundational developer tool skills commonly required in computer vision AI programming.​

  • How AI with Computer Vision is revolutionizing industries
  • Examples of Smart Cities, which encompasses transportation, utilities, public services, infrastructure, and buildings
  • Describe the difference between traditional computer vision and AI based computer vision with the use of convolutional neural networks
  • Overview of the Intel® DevCloud
  • Overview of the Intel® Distribution of OpenVINO™ toolkit
  • Learn how to implement the OpenVINO™ toolkit API workflow
  • Practice with Jupyter Notebooks inside the Intel® DevCloud

               •  OpenCV

               •  AI Classification

               •  Object Detection

  • Explore the Github for more OpenVINO™ toolkit Jupyter Notebooks

AI Classification Jupyter Notebook


Classify and report the probability of objects from image and video input with a SqueezeNet 1.1 model. Jupyter Notebook will introduce you to the AI programming workflow of the Intel® Distribution of OpenVINO™ toolkit.​

AI Object Detection Jupyter Notebook


Expand your AI programming skills building upon the first two Jupyter Notebooks by performing object detection on images and video using a pretrained network.

Upcoming Workshop Dates

Upon registering you will receive calendar invites to the following workshop dates with a link to join. You may choose to join the workshop date(s) and time(s) that works best for you.

March 9th 


March 16th


March 23rd


March 30th


April 6th

10:00am – 1:00pm PT


7:00am – 10:00am PT


10:00am – 1:00pm PT


10:00am – 1:00pm PT


6:00am – 9:00am PT

About the Presenter

Jason Burris

OpenVINO Academic Program Manager, Network and Edge Group

Accomplished professional with 20 years’ experience in the Embedded, IoT, AI, In-Vehicle Automotive and Networking Platforms industries. Passionate about student skills building. BS in Systems and Industrial Engineering from the University of Arizona.


Resources

Sign up for an Intel® DevCloud account—a free development sandbox with access to the latest Intel® hardware and the Intel® Distribution of OpenVINO™ toolkit. 

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Intel® DevCloud offers complimentary access to a wide range of Intel® architectures to help you get instant hands-on experience with Intel® software and execute your edge, AI, high-performance computing (HPC) and rendering workloads. With preinstalled Intel® optimized frameworks, tools, and libraries, you have everything you need to fast-track your learning and project prototyping.

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