15 AI Summer Camps for High School Students
- Stephen Turban
- 16 hours ago
- 10 min read
If you’re a high school student interested in Artificial Intelligence (AI) and want to explore it beyond your classroom, consider enrolling in an AI summer camp. These camps give you the chance to understand how AI works in practical settings while learning skills you can apply to real projects.
What are AI summer camps? What will I do as a participant?
AI summer camps focus on building your understanding through hands-on activities instead of long academic lectures. You might work on coding tasks, build small AI tools, or see how machine learning is used in different industries like healthcare, business, or design. Unlike longer summer programs, camps are usually shorter, more affordable, and focus on practical experience over theory. This makes them a good option if you want to get started with AI without a large time or financial commitment.
Why should I do an AI summer camp?
Joining a summer camp is also an effective way to experience college-level learning in a more focused and collaborative setup. You’ll strengthen technical skills, work on group projects, and learn how AI connects to real problems in today’s world. These experiences also give your college applications an edge by showing initiative and practical engagement with technology.
To help you find the right fit, here’s a list of 15 AI summer camps for high school students!
15 AI Summer Camps for High School Students
1. Veritas AI
Location: Virtual
Cost: Varies based on program type; financial aid is available
Acceptance rate/cohort size: Selective
Dates: Multiple 10- to 15-week cohorts in a year, including winter, fall, spring, and summer.
Application deadline: Rolling basis | Spring sessions have a January deadline, Summer programs have a May deadline, Fall programs have a September deadline, and Winter cohort has a November deadline
Eligibility: High school students | AI Fellowship applicants should either have been AI Scholars participants or have some familiarity with AI concepts or Python.
Veritas AI introduces high school students to artificial intelligence through online programs that combine learning and research. In the AI Scholars program, you take part in ten sessions that cover key ideas in machine learning and data science while working in small groups led by mentors from top universities.
If you already have some background in AI, you can join the AI Fellowship, where you receive one-on-one guidance to design your own research project in areas such as healthcare, finance, or climate science. Many students go on to publish their work in student research journals, making this program a strong first step into AI and academic research.
Location: Princeton University, Princeton, NJ
Cost: No cost
Acceptance rate/cohort size: Competitive
Dates: July 9 – 30
Application deadline: April 9
Eligibility: 10th-graders (rising 11th-graders) who live in the U.S. or Puerto Rico and qualify as low-income
The AI4ALL program at Princeton University allows high school students to study artificial intelligence while examining its broader social and ethical implications. Over three weeks, you participate in lectures led by Princeton faculty, engage in discussions on AI’s impact across sectors like healthcare and criminal justice, and work on group research projects guided by graduate student mentors. The program also includes professional development workshops, mentorship sessions, and a field trip to Washington, D.C., where students meet policymakers and explore how technology intersects with society.
Location: London, New York, San Francisco, and Tokyo
Cost: Varies according to program. Financial aid available
Acceptance rate/cohort size: Selective
Dates: 2 weeks during the summer
Application deadline: Multiple summer cohorts with rolling admissions
Eligibility: High school students aged 15-18
Immerse Education’s Career Insights Pathway allows you to explore professional industries such as business, law, medicine, and technology through a two-week experience in major cities like London or New York. You’ll take part in interactive workshops, company visits, and collaborative projects designed to simulate real-world scenarios. Mentors from industry and academia provide guidance as you develop projects and present your findings at the end of the program. Weekly coaching sessions also help you reflect on your learning and career goals.. You can find more details about the application here!
Location: Multiple locations across the country
Cost: No cost
Acceptance rate/cohort size: Not selective; eligible applicants accepted on a first-come, first-served basis
Dates: Multiple two-week sessions from June to August
Application deadline: March
Eligibility: Open to girls, gender nonconforming, and trans students between the ages of 13-18
Kode With Klossy offers free two-week summer camps focused on empowering young women and gender-expansive students in STEM through hands-on coding and AI learning. The AI and machine learning track introduces concepts such as algorithms, datasets, and natural language processing, culminating in a Python-based chatbot project. You can also explore data science by analyzing real-world datasets with SQL and Python to create your own visualizations. The program also covers AI’s social implications, including bias in technology, while building coding confidence through teamwork and mentorship.
Location: UC Berkeley Campus, Berkeley, CA
Cost: Free
Acceptance rate/cohort size: Competitive
Dates: July 8–12 (tentative, based on the previous year’s program)
Application deadline: Applications typically close in April
Eligibility: High school students entering grades 10-12 residing in the Bay Area
At the Berkeley Artificial Intelligence Research Lab High School Summer Program, you’ll study artificial intelligence on campus with direct mentorship from UC Berkeley researchers. The free program includes lectures, lab tours, and collaborative activities that explore AI areas such as computer vision, robotics, natural language processing, and machine learning. You will engage with BAIR faculty and graduate students to learn how research in these areas connects to broader societal questions around AI ethics and impact. Lunch and campus activities are included, offering an immersive academic environment throughout.
6. Stony Brook University Pre-College Program – Artificial Intelligence and Self-Driving Summer Program
Location: Center of Excellence in Wireless and Information Technology, Stony Brook, NY
Cost: Residential option: $2,250, Commuter option: $1,250
Acceptance rate/cohort size: Not specified
Dates: Session One: July 6 – 11 | Session Two: July 13 – 18 | Session Three: July 20 – 25
Application deadline: Not specified, typically rolling
Eligibility: Rising high school juniors and seniors (ages 15-17) who are in good academic standing and are U.S. residents
Stony Brook University’s Artificial Intelligence and Self-Driving Pre-College Program introduces students to machine learning concepts through hands-on experiments with remote-controlled cars. Across one week, you’ll learn how data collection, neural networks, and model training contribute to autonomous vehicle systems. You will use PyTorch to explore architectures like CNN and ResNet and observe demonstrations of self-driving RC cars. The course emphasizes experiential learning–students manually drive and program RC cars, analyze datasets, and refine models for autonomous performance.
Location: New York City
Cost: $2,195
Acceptance rate/cohort size: Moderately selective
Dates: 2 weeks in the summer
Application deadline: Rolling until full
Eligibility: High school students
The NextGen Bootcamp Python Data Science and AI Machine Learning program is a two-week, project-based course in New York City that teaches you how to code and apply Python to real data problems. The first week focuses on Python fundamentals, preparing you to handle programming challenges independently. In the second week, you transition to data science and machine learning, using tools like Pandas, Matplotlib, and scikit-learn to analyze, visualize, and interpret datasets. The 45-hour live course includes expert instruction, a proprietary workbook, access to recordings, and optional one-on-one mentoring.
Location: Center of Excellence in Wireless and Information Technology, Stony Brook, NY
Cost: Residential option: $2,250, Commuter option: $1,250
Acceptance rate/cohort size: Not specified
Dates: Session One: July 6 – 11 | Session Two: July 13 – 18 | Session Three: July 20 – 25
Application deadline: Not specified, typically rolling
Eligibility: Rising high school juniors and seniors (ages 15-17) who are in good academic standing and are U.S. residents
In Stony Brook University’s Engineering Problem-Solving with AI pre-college course, you’ll learn to approach engineering challenges using computational tools and artificial intelligence. The one-week program introduces key principles from mechanics, thermodynamics, and fluid dynamics, with hands-on projects supported by coding in MATLAB and Python. You’ll also use generative AI tools for problem formulation and debugging, gaining insight into how AI assists in engineering analysis. The course combines short lectures with practical sessions, allowing you to simulate and visualize engineering systems. It concludes with a capstone project where participants present AI-assisted solutions to real-world engineering problems.
Location: NYU Tandon School of Engineering, Brooklyn, NY
Cost: Varies based on partnership package
Acceptance rate/cohort size: Not specified
Dates: 2 weeks in the summer
Application deadline: Not specified
Eligibility: Current 9th - graduating 12th graders; ages 15 and above
The IDEA Program at New York University bridges artificial intelligence with entrepreneurship and public service innovation. Over the course of the program, you’ll study the fundamentals of AI, analyze real-world business case studies, and work on team projects that move from ideation to implementation. Through guided workshops, participants learn to identify gaps in industries such as healthcare, transportation, and education, and design AI-powered solutions to improve them. Students also participate in curated college visits to top universities in the Northeast, offering exposure to academic and career paths in AI and business.
Location: NYU's Brooklyn campus, NY
Cost: $3,045
Acceptance rate/cohort size: Not specified
Dates: July 28–August 8
Application deadline: April 30
Eligibility: Open to high school students who will be entering their sophomore, junior, or senior year of high school in the Fall
The AI+Art Summer Program explores how artificial intelligence is transforming creativity and artistic expression. Over two weeks, you learn how generative AI models function and how they can be used to produce original art, animation, and music. The program combines lectures on creative machine learning with extensive hands-on practice, allowing you to experiment with AI tools, train models, and even build simple creative robots. Ethical and policy discussions are integrated into the curriculum, helping you reflect on issues like authorship and bias in AI-generated art. You’ll work toward a final creative project that incorporates AI techniques into your own artistic vision, culminating in an end-of-program exhibition.
Location: Syracuse, NY
Cost: Residential: $4,295 | Commuter: $3,318
Acceptance rate/cohort size: Selective
Dates: July 20 – August 1
Application deadline: Not specified
Eligibility: Rising high school juniors and seniors
Syracuse University’s Generative AI Summer Institute introduces high school students to the rapidly growing field of AI-driven creativity. Across one intensive week, you’ll explore how generative models learn from data to produce new content–ranging from stories and code to music and visual art. Through interactive lectures, workshops, and team projects, the program teaches the foundations of machine learning, neural networks, and generative AI systems. You’ll experiment with algorithms to generate your own creative outputs while also discussing the ethical considerations of using AI responsibly. Expert mentors guide you through real-world applications of generative AI in industries like media and software. Upon completion, you receive a Certificate of Completion and can request a Syracuse University noncredit transcript.
Location: Virtual
Cost: $840 + $40 application fee (financial aid is available)
Acceptance rate/cohort size: Competitive
Dates: June 16-27
Application deadline: December 9–February 28
Eligibility: High school students who are U.S. citizens or permanent residents who will be 14 years or older by the program's start
Stanford’s AIMI Summer Health AI Bootcamp is a free, two-week virtual program that introduces high school students to the use of artificial intelligence in healthcare. The curriculum focuses on the principles and challenges of applying machine learning to medical data and clinical decision-making. Each day includes online modules, group discussions, breakout sessions, and interactive “Career Lunch and Learns” with professionals from academia, industry, and government. You’ll study topics like evaluation metrics, model strategies, and the ethics of AI use in healthcare, as well as newer developments like foundation models and generative AI for medical applications.
Location: Virtual
Cost: No cost
Acceptance rate/cohort size: Not selective
Dates: Summer Immersion Program: July 7 – 18 (for U.S. students); July 28 – August 8 | Pathways: June 30 – August 8
Application deadline: Early acceptance: February 28 | General application: April 16
Eligibility: High school students in grades 9 – 12 (only 9th – 11th graders accepted for Summer Immersion) who are between the ages of 14 and 18 and identify as girls or non-binary individuals
Girls Who Code offers two free summer programs that prepare high school students for careers in computer science and emerging technologies. The two-week Summer Immersion Program focuses on live virtual instruction in game design, covering both foundational coding and principles of user experience design. The six-week Pathways Program, on the other hand, is self-paced and lets you explore fields like artificial intelligence, data science, web development, and cybersecurity. Both programs focus on practical learning, using languages such as Python, HTML, CSS, and JavaScript, while also providing access to mentorship from professionals in the tech industry. You can attend live industry events, collaborate with peers, and build projects that reflect their personal interests in technology.
Location: Virtual
Cost: Regular price: $495; final priority price: $695
Acceptance rate/cohort size: Not specified
Dates: Available year-round
Application deadline: Varies by session, typically one week before the camp start date
Eligibility: High school students with strong mathematical skills (preferably including calculus) and mandatory proficiency in Python programming | Age-related exceptions are considered on a case-by-case basis
The Harvard Computer Society’s AI Bootcamp is an intensive five-day experience designed to introduce high school students to the frontiers of artificial intelligence research. Taught by Harvard undergraduates and graduate-level researchers, the program blends lectures, coding labs, and project-based learning. You can choose between two tracks: an Introductory program for students proficient in Python and mathematics, and an Advanced program for those with prior exposure to AI or machine learning frameworks like PyTorch. Both tracks explore core AI and ML concepts, including the principles behind generative AI, and guide you in applying them through small-group research projects. The curriculum draws directly from current AI research at Harvard.
Location: NYU Tandon School of Engineering, Brooklyn, NY
Cost: $3,050 tuition + additional optional costs
Acceptance rate/cohort size: Competitive
Dates: Session 1: June 16 – 27 | Session 2: July 7 – 18 | Session 3: July 28 – August 8
Application deadline: April 21
Eligibility: High school students in grades 9–11 who have some programming experience and have completed Algebra 2 | Applicants typically have a minimum 3.0 GPA.
Hosted by NYU Tandon, the two-week Machine Learning Program introduces you to the scientific and mathematical foundations that underpin AI systems. The program combines computer science and data analysis with practical applications, teaching concepts such as linear regression, neural networks, and model validation. Through daily assignments and weekly projects, you’ll see how machine learning powers technologies like autonomous vehicles, image recognition, and medical diagnostics. A focus on engineering problem-solving helps you understand how these techniques can be used to address real-world challenges.
One other option–the Lumiere Research Scholar Program
If you’re interested in pursuing independent research, consider applying to one of the Lumiere Research Scholar Programs, selective online high school programs for students founded with researchers at Harvard and Oxford. Last year, we had over 4,000 students apply for 500 spots in the program! You can find the application form here, check out students’ reviews of the program here and here.
Also check out the Lumiere Research Inclusion Foundation, a non-profit research program for talented, low-income students. Last year, we had 150 students on full need-based financial aid!
Stephen is one of the founders of Lumiere and a Harvard College graduate. He founded Lumiere as a PhD student at Harvard Business School. Lumiere is a selective research program where students work 1-1 with a research mentor to develop an independent research paper.
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