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AI & Machine Learning · 🏫 University of Florida

EQuIPD AI & Machine Learning Camps

EQuIPD camps provide free, hands-on, cutting-edge engineering experiences led by University of Florida student mentors, fostering a strong university affiliation and inspiring students to pursue STEM.

🔥 Middle/High School 🕒 1-week Day Camp In-person Beginner-friendly
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About this camp

EQuIPD AI & Machine Learning Camps offer middle and high school students hands-on experiences in artificial intelligence, programming, machine learning, and engineering design thinking. Campers engage in design challenges and activities such as programming micro:bit pets to be interactive, analyzing AI data to develop hurricane forecast models, and exploring AI in agriculture by visiting smart farms and building self-driving tractors. High school students delve into machine learning through music and sports, while middle schoolers learn about electrical power in smart microgrids. The curriculum emphasizes computational thinking practices to solve real-world problems and utilizes technology like BBC Micro:bits, Arduino boards, and sensor kits to build engineering solutions. Students gain practical coding skills, develop critical thinking, and learn to apply AI concepts to various domains, fostering a STEM identity and preparing them for future careers in technology.

What a typical day looks like

A typical day involves hands-on activities and design challenges where students apply principles of engineering design and computational thinking, often working with microcontrollers like micro:bits and receiving mentorship from University of Florida students.

Best suited for

This camp is best for students who are curious about AI, coding, and technology, and are excited to explore how AI is used in real-world applications while strengthening their STEM skills.

What you'll learn

Artificial Intelligence Machine Learning Programming (Python MakeCode) Engineering Design Thinking Computational Thinking Microcontrollers (micro:bit Arduino) Data Analysis

Location

Multiple Locations

Sponsored · Research Ignited

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