Students learn tangible AI and machine learning skills, earning a stipend and CEU credits from Stanford University, and collaborate with mentors from top universities and industry.
The Coding School's "Summer of Emerging Tech - Machine Learning" program offers high school students an immersive experience in the exciting field of Machine Learning, a subfield of Artificial Intelligence. Students develop foundational knowledge and real-world skills through project-based learning. The curriculum focuses on utilizing large datasets and programming ML algorithms in Python, a widely used programming language. Participants will learn to use scikit-learn, a popular tool for ML, and train algorithms such as decision trees and Bayesian networks. A key aspect of the program is addressing bias in ML outcomes, fostering responsible AI leadership. Students will work on hands-on projects like image classification, where they train an ML algorithm to identify different types of organisms. The program aims to equip students with in-depth knowledge and practical skills in cutting-edge technologies, culminating in an Emerging Technologies certificate.
Each day is filled with hands-on activities and project building, allowing students to gain real-world skills and work together simulating a day-in-the-life of professional software engineers.
The ideal student is a high schooler interested in gaining foundational coding skills and exposure to cutting-edge technology fields like AI and Machine Learning.
Los Angeles, CA 91604
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