In this workshop, you’ll learn how to efficiently incorporate data science, artificial intelligence, and machine learning (AI/ML) into an OpenShift® development workflow. Using our smartphone to assign a coupon value to any sale item, you’ll use an object detection model to detect items discounted in a retail store.
We’ll allow hypothetical customers to find merchandise discounts, such as shirts, as they browse clothing in a department store.
Also, build an app that will display a discount, such as a coupon.
This workshop will build an app that uses a picture of clothing and determines if a shirt is present that qualifies for a discount.
Learn how to install anything on your computer using Red Hat® OpenShift Data Science and Red Hat OpenShift Streams for Apache Kafka.
Note: Beginner data handling and python skills are required for this workshop.
Prior to the workshop, please sign up for Red Hat OpenShift Data Science developer to try OpenShift Data Science in the sandbox.
During this workshop, you will:
- Use Jupyter Notebooks and TensorFlow to explore a pretrained object detection model
- Use source-to-image (S2I) to build and deploy your intelligent application
- Deploy an Apache Kafka consumer with the same object detection model
Live event date: Thursday, July 21, 2022 | 10 a.m. ET
On-demand event: Available for one year afterward.