AI Development via Python & C++
%201.svg)
Registration for this track is closed. You can click the link on the Summer Camps page to join the waitlist for this track. You can also explore our other summer tracks that are open for sign-up.
Location: San Diego Mesa College - 7250 Mesa College Dr, San Diego, CA 92111
Time: 8am to 3:30pm
A sports-themed AI and data science summer camp where students apply Python and/or C++ to analyze real athletic data, build predictive models, and generate a personalized performance profile.
.avif)
.avif)
.avif)
In the Advanced AI Development via Python & C++ summer camp, students explore how artificial intelligence and data science apply to professional sports and athletic performance. Using real-world athletic data alongside data they help collect, students learn to clean, analyze, and model datasets using industry-standard tools and programming languages. Through hands-on activities and iterative development, students build predictive models that generate meaningful insights about athletic performance. The course culminates in a personalized performance profile, a data-driven capstone artifact each student takes home, that mirrors how analysts and engineers apply AI in sports organizations. This program is a fun, recreational summer camp experience held at San Diego Mesa College. Students spend their days alongside peers in an integrated college-campus setting, building friendships, working in teams, sharing snack breaks together, and participating in a structured but playful environment. While students walk away with real technical skills, the camp is first and foremost a social, recreational, and community-based experience designed for connection, confidence-building, and joy.
Students Can Use These Skills For:
- Analyzing and interpreting real-world datasets using code
- Understanding how AI models are built, trained, and evaluated
- Applying data science workflows used in professional industries
- Building portfolio-ready projects that demonstrate applied AI skills
- Exploring careers in data science, machine learning, and sports technology
Tools Used:
- Python (data science and AI development)
- C++ (performance-oriented programming)
- Data analysis and visualization libraries
- Real-world athletic and sports performance datasets
- Data collection and spreadsheet tools
Students Will:
- Learn foundational data science and AI development concepts through a sports lens
- Collect, clean, and analyze athletic data using Python
- Build and evaluate predictive models using real-world datasets
- Apply C++ in performance-critical programming contexts
- Complete a Capstone Project, a personalized AI-generated performance profile, demonstrating applied data science and machine learning skills
Pathways:
- Artificial Intelligence
- Data Science
- Software Engineering
.avif)
