12 Online AI Summer Programs for High School Students

If you are a high school student interested in artificial intelligence, online summer programs can offer a structured way to explore the field while learning from home. These programs typically combine guided instruction with projects that help you build skills in Python programming, data analysis, and machine learning. You may also explore topics such as neural networks, computer vision, or AI ethics while working with mentors and collaborating with peers.

What are the benefits of an online AI summer program?

Online AI programs give you the flexibility to learn from anywhere while still engaging with rigorous academic content and structured coursework. You can work on coding exercises, research-based assignments, or collaborative projects that help you understand how AI systems are developed and applied across different domains. These experiences can help you build technical skills, clarify your academic interests, and demonstrate sustained engagement with AI in future applications.

To help you find the right fit, we’ve selected 12 online AI summer programs for high school students.

If you are looking for online math research programs, check out our blog here.

1. Harvard Computer Society’s AI Bootcamp

Location: Virtual

Cost: Regular price: $795 | Final priority price: $995 

Dates: Summer cohorts happen weekly from June 1 to June 26

Application Deadline: March 31

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 a five-day intensive 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 Harvard's current AI research.

2. Veritas AI 

Location: Virtual

Cost: Varies depending on program type; full financial aid available

Dates: Multiple 12-15-week cohorts throughout the year, including spring, summer, fall, and winter.

Application Deadline: Rolling. Spring (January), Summer (May), Fall (September), and Winter (November). You can apply to the program here.

Eligibility: High school students. AI Fellowship applicants should either have completed the AI Scholars program or exhibit experience with AI concepts or Python.

Veritas AI, founded and run by Harvard graduate students, offers programs for high school students who are passionate about artificial intelligence. Students looking to get started in AI, ML, and data science would benefit from the AI Scholars program. Through this 10-session boot camp, students are introduced to the fundamentals of AI & data science and have the opportunity to work on real-world projects. Another option for more advanced students is the AI Fellowship with Publication & Showcase. Through this program, students have the opportunity to work 1:1 with mentors from top universities on a unique, individual project. A bonus of this program is that students have access to the in-house publication team to help them secure publications in high school research journals. You can also check out some examples of past projects here and read about a student’s experience in the program here. 

3. Stanford AIMI’s Summer Research Internship

Location: Virtual

Cost: $2,400 program fee + $45 application fee; scholarships available

Dates: Session A: June 15 – 26 | Session B: July 6 – 17

Application Deadline: February 20

Eligibility: U.S. rising 9th-12th graders (14+) with math or computer programming skills or experience with a healthcare project

In Stanford AIMI’s two-week virtual Summer Research Internship, you’ll dive into how AI is used in medical imaging and healthcare. You’ll attend daily lectures on the fundamentals of machine learning in medicine, and you’ll work in small teams on real research projects with Stanford mentors. Alongside that, you’ll take part in “Meet the Expert” sessions where industry and academic experts share their career insights into the field and current research. Participants who successfully complete the internship earn a certificate, and select students may be invited to pursue extended research opportunities.

4. Immerse Education’s Online Research Programme

Location: Fully remote

Cost: Varies by program type

Dates: Flexible; multiple cohorts in a year.

Application Deadline: Rolling admissions; multiple dates throughout the year

Eligibility: Students aged 13-18 (accredited options require age 14+)

The Online Research Program enables high school students to conduct rigorous research under the guidance of tutors from Oxford, Cambridge, and Ivy League universities. You will work with your tutor to explore a subject of your choice in depth and write an academic research paper. The program is offered in 1:1 and small-group formats, and you can choose to earn college credit from universities in the US and the UK. The virtual research program is offered in over 20 subjects, including artificial intelligence, chemistry, psychology, economics, computer science, creative writing, philosophy, and more. At the end of the program, you’ll receive a written evaluation from your tutor, an opportunity to publish your research, and an invitation to present at the Immerse Online Symposium. You can find examples of papers Immerse students have worked on here. You can find more details about the application here.

5. Stanford AI4ALL Online

Location: Virtual

Cost: $4,120

Acceptance rate/cohort size: Selective; cohort size not publicly disclosed

Dates: June 15 – June 26

Application Deadline: February 6

Eligibility: 9th-grade students who have an interest in Artificial Intelligence; no previous AI or programming experience is required to apply

Stanford AI4ALL Online is a two-week virtual program that immerses high school students in artificial intelligence through live lessons and collaborative activities. You’ll attend daily online classes, work in research-focused groups, and engage in guided problem-solving sessions led by Stanford-affiliated instructors and mentors. The curriculum explores foundational AI concepts and discusses ethics, social impact, and real-world applications. In addition to academics, participants engage in student life programming, including college-preparation workshops and guest speaker events. The program requires full-time participation during scheduled hours and additional independent work outside class.

6. MITES Semester

Location: Online

Cost: None

Dates: 6 months from June to December

Application Deadline: February 1

Eligibility: U.S. high school juniors 

The MITES Semester includes rigorous online STEM coursework, live webinars, interactive sessions with peers and mentors, and workshops that explore advanced topics in science, technology, engineering, and mathematics. Over the summer portion of the program, students spend intensive time in online classes and collaborative work, then transition to regular evening and weekend webinars, discussions, and community-building activities during the academic year. Students who complete the program receive evaluations and insights that can support further STEM study and strengthen college applications, while engaging with a sustained online community focused on advanced learning and academic growth. 

7. Kode With Klossy Summer Coding Camps

Location: Virtual (and in‑person options available)

Cost: Free

Dates: Multiple two‑week sessions each summer (e.g., June 1–June 12, July 6–July 17, July 20–July 31, August 3–August 14)

Application Deadline: March 31

Eligibility: Young girls and gender‑expansive teens, ages 13–18

Kode With Klossy offers free, two‑week summer coding camps designed for students ages 13 to 18 who identify as young women or gender‑expansive and want an introduction to computer science and technology. The virtual camp includes instruction in foundational programming concepts and project‑based learning in areas such as web development (HTML, CSS, JavaScript), mobile app design, machine learning, or data science, depending on the session track. Participants engage in hands‑on coding activities, build real projects, and connect with peers and mentors in an online learning environment throughout the two‑week program. The camp's structure is designed to be accessible to beginners and provides sustained exposure to coding practices and collaborative problem‑solving.

8. CS50’s Introduction to Artificial Intelligence with Python – Harvard University

Location: Online

Cost: Free to audit; an optional verified certificate is available for ~$299

Dates: Self‑paced online course; typically structured over approximately 7 weeks of study

Application Deadline: Open enrollment

Eligibility: High school students with some basic Python knowledge

CS50’s Introduction to Artificial Intelligence with Python is an online course from Harvard University that introduces learners to foundational concepts in artificial intelligence and machine learning using Python. Students explore topics such as search algorithms, knowledge representation, optimization, classification, reinforcement learning, and neural networks while completing hands‑on programming projects to apply these principles in practice. The course is delivered in a self‑paced online format, allowing students to engage with lectures, problem sets, and projects at their own pace.

9. Girls Who Code: Pathways

Location: Online

Cost/Stipend: None

Acceptance Rate/Cohort Size: Not specified

Dates: June 29 – August 14

Application Deadline: February 27 (early); April 10 (general)

Eligibility: 9th-12th grade girls and non-binary students

The Girls Who Code Pathways Program is a seven‑week online program where high school students learn computer science and explore tech fields at their own pace. Participants choose from curriculum tracks such as data science + AI, game design, web development, cybersecurity, and AI + Society, and complete hands‑on projects that connect coding with real‑world technology applications. The virtual format includes flexible learning, optional live support sessions, workshops, and opportunities to connect with peers and mentors in the Girls Who Code community. Students also gain access to virtual Partner Events and an online communication platform to share ideas and build networks as they develop technical skills and confidence in technology.

10. Stanford Pre-Collegiate Summer Institutes – Artificial Intelligence Course

Location: Online

Cost: $3,200; financial aid available 

Dates: Session One: June 15 – June 26 | Session Two: July 06 – July 17

Application Deadline: March 20

Eligibility: High school students in grades 10 and 11

This Artificial Intelligence course is part of Stanford’s Pre-Collegiate Summer Institutes, an online program where students focus on a single subject in a small, discussion-based class. The curriculum introduces core AI concepts, including supervised, unsupervised, and reinforcement learning, as well as how intelligent systems are trained to perform tasks. Students engage in interactive lectures, problem-solving, and project-based work to apply these ideas in practical contexts. The program is structured as an intensive academic course that emphasizes conceptual understanding and applied learning in an online classroom.

11. George Mason University Aspiring Scientists Summer Internship Program (ASSIP)

Location: Virtual, hybrid, and in-person options available

Cost: $25 application fee; $1,299 tuition for accepted students (fee waivers available)

Dates: June 18 – August 12 

Application Deadline: February 15

Eligibility: High school students aged 15+ 

The Aspiring Scientists Summer Internship Program (ASSIP) is an eight-week research internship in which high school students work on faculty-mentored projects across a variety of STEM fields, including data science, artificial intelligence, and machine learning. During this internship program, students are assigned to research groups where they actively participate in ongoing research projects, including tasks in data analysis and modeling, algorithm development, and other aspects directly related to current artificial intelligence practices. At the end of this internship program, students present their research in a final symposium, similar to academic research settings.

12. Data Science and Machine Learning 1 – Columbia University Pre-College Program

Location: Online

Cost: ~$4,018

Dates: Summer A: July 6 – July 17; July 20– July 31

Application Deadline: April 2

Eligibility: High school students

This online course from Columbia’s Pre-College Program introduces high school students to the foundations of data science and machine learning through a structured virtual classroom format. Students attend live online lectures and participate in guided exercises that explore how data is collected, analyzed, and used to make predictions. The curriculum covers core concepts such as data analysis, basic machine learning techniques, and their real-world applications across different industries. Students engage with assignments and discussions throughout the course, gaining exposure to how data-driven methods are applied in modern technology and research contexts.

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