AI Development via Python & C++
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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.
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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
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