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AI-driven technologies hold the power to transform our world, offering solutions to some of our most pressing challenges—from advancing healthcare and environmental sustainability to improving accessibility and education. No matter your field of interest—whether it's healthcare, environmental science, education, social justice, or public policy—artificial intelligence is set to shape the future, influencing every sector and helping society address complex issues.
Instructor:
Course Description
In this program, students will gain an in-depth understanding of key AI technologies, such as computer vision, natural language processing, and neural networks, and the ethical considerations that come with using these tools. Through hands-on learning in the first half of the program, students dive into essential AI concepts, applications, and tools with coding sessions and practical labs. As they develop their technical skills, students will see firsthand how AI can contribute to social good, from addressing healthcare needs to improving environmental sustainability. In the second half of the course, they will work in instructor-led teams on a project tailored to a topic of their choice—such as music, environmental science, or finance—using AI as a tool to make a meaningful impact in their chosen field. Final projects will be presented in a formal showcase at the program’s end. This course covers foundational principles of machine learning while emphasizing how AI can make a positive social impact. Students are required to bring a personal laptop to class.
This course is conducted in partnership with Inspirit AI.
Note: Information is subject to change as instructors finalize course content and syllabi.
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Past Instructor Bios
Eric Bradford is a Senior Technical Product Manager at Apple. He received both his Master's and his Bachelor's in Computer Science and Electrical Engineering from MIT. Previously, Eric worked on high-impact sports analytics projects with FC Barcelona and the San Antonio Spurs, leveraging machine learning techniques to derive actionable insights. During his tenure with FC Barcelona, he incorporated unsupervised learning techniques and data visualization, and served as the main point of contact with the team.
Emily Guo is a Stanford graduate with a Master's in Computer Science. She is passionate about human-centered AI and is focused on building technology responsibly and ethically. She believes in interdisciplinary collaboration and has researched NLP tools for local newsrooms, built AI models for the EPA, and hosted former President Obama as a keynote speaker on AI's implications for democracy.
Subject to change in 2026
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Course Syllabus
To view a sample syllabus, please contact your program specialist, or reach us at info@summerdiscovery.com or call +1 (516) 447-4907.
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Admissions Criteria
An interest in all things AI is the key to success in this program! Additionally, your application criteria includes a completed Summer Discovery Application.
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Who should attend this course?
Aspiring technology professionals, this is a start to your successful academic and professional career. This course will introduce you to fundamentals that will advance your understanding of this field and help you determine whether a professional track in computer science and technology is right for you.
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Benefits of Attending this Course
In addition to a university-level course experience, students will leave this course with portfolio-building documentation in recognition of their summer achievements, including:
Summer Discovery Certificate of Completion
After successfully finishing this course, you will be awarded a certification completion for your accomplishment.
*This is a preview, not what you will receive