Artificial Intelligence/Machine Learning Summer Camp
June 16 to 20
This one-week summer camp aims to introduce high school students to real-world applications of artificial intelligence (AI) and machine learning (ML) algorithms spanning from computer gaming to ChatGPT.
With demand growing for AI and ML skills to tackle engineering challenges, including robotics, autonomous vehicles, manufacturing, recommendation systems, healthcare and beyond, this camp offers students a unique opportunity for hands-on experience. Through Python-based exercises, participants will gain firsthand insight into the functioning of AI/ML systems.
June 16 to 20
Monday to Friday, 9 a.m. to 3 p.m.
Lunch will be provided.
The camp will be at Purdue University Northwest’s Hammond Campus!
$130
REGISTER FOR AI/MACHINE LEARNING CAMP*
* After you supply your contact information with the form above, our camp team will reach out to complete the registration process. Space will be given on a first-come, first-served basis. Students will be accepted until three weeks prior to the first day of camp. We will put students on a waiting list.
Open to high school students. To be eligible, students must be entering ninth grade or higher in fall 2025.
- Day One: AI/ML Introduction, Introduction to Real-world Application of AI/ML, Supervised ML, Unsupervised ML
- Day Two: Python Programming
- Day Three: K-Nearest Neighbors and Linear Regression
- Day Four: Neural Network Model, Neural Network, K-Means, ML Project Workflow
- Day Five: ML Performance Metrics, Metrics, and Ethics, AI/ML Applications in Engineering
The Science and Engineering that Runs our Technology
The custom-designed curriculum guides high school students through the Python coding for the implementation of artificial intelligence and machine learning algorithms. This skill set is in high demand. The machine learning algorithms are used to solve engineering problems, including renewable energy and smart power grid; trading on Wall Street; and the product recommendations at big companies such as Amazon, Spotify, and Netflix; and many other real-world applications.
Contact Us
Associate Professor, Electrical and Computer Engineering
(219) 989-2685
Hammond Campus, POTT 327
Department Chair, Electrical and Computer Engineering
(219) 989-2486
Hammond Campus, POTT 323