13 Online Tech Summer Programs for High School Students
If you’re a high schooler interested in tech, consider participating in an online tech summer program. These programs will give you real exposure to coding, data science, AI, and other industry-relevant skills while also connecting you with mentors and like-minded peers. Since these programs are hosted virtually, you won’t have to relocate or commute, meaning you can learn from the best no matter where you live. Many of these programs are also designed to simulate real workflows, which means you’ll be learning new concepts and applying them to projects.
What are the benefits of a tech program?
Participating in a tech program allows you to develop skills in Python, building machine learning models, designing apps, or analyzing real datasets, often through hands-on projects. You might work on coding a website, creating an AI model, or solving tech challenges, all while gaining exposure to industry tools and concepts. These experiences help you figure out what areas of tech interest you and also act as a solid addition to your college applications. Many tech programs are also offered by well-known institutions and organizations, which adds credibility to your experience.
In this blog, we’ve listed 13 online tech summer programs for high school students that are worth considering.
If you’re looking for online summer programs, check out our blog here.
1. Veritas AI
Location: Virtual
Cost: Varies depending on program type; Full financial aid available
Acceptance Rate: Selective
Dates: Multiple 12-15 week cohorts throughout the year
Application Deadline: Rolling; Varies by cohort. You can apply to the program here.
Eligibility: High school students; Advanced programs (AI Fellowship) require prior experience with AI concepts or Python, or completion of the AI Scholars program
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.
2. Syracuse University Summer College – Online: Introduction to Computer Programming (Python)
Location: Virtual
Cost: $3,165 (credit); $1,995 (noncredit); Discounts and scholarships offered
Acceptance Rate/Cohort Size: Not specified
Dates: July 6 – 23
Application Deadline: December 15 – May 1
Eligibility: Rising high school juniors or seniors, or recent high school graduates
This Syracuse University Summer College course introduces you to the fundamentals of programming using Python through a fast-paced, college-level curriculum. Over three weeks, you’ll learn core concepts like variables, functions, conditionals, and object-oriented programming, while also practicing debugging and testing techniques. The course includes hands-on programming labs where you’ll write your own programs, work with libraries, and develop reusable code modules. A major advantage of this program is that you’re taking an actual college course, earning credits (or a transcript) while getting a realistic preview of university-level academics. You’ll also have opportunities to join virtual campus activities and connect with other students.
3. Lumiere Research Scholars Program
Location: Virtual
Cost: Varies depending on program type; Full financial aid available
Acceptance Rate: Selective
Dates: Varies by cohort; Program durations range from 12 weeks to 1 year
Application Deadline: Varies by cohort
Eligibility: High school students with strong academic achievement
The Lumiere Research Scholar Program is a selective, mentor-led research program designed for high school students seeking in-depth academic exploration. As a participant, you will be paired one-on-one with PhD mentors from leading institutions to develop an independent research project in your chosen field. The program spans a wide range of disciplines, including computer science, economics, psychology, engineering, and international relations. The experience emphasizes critical thinking, academic writing, and real-world application of concepts. With individualized mentorship and a strong academic framework, the program prepares you for advanced research opportunities and competitive college admissions.
4. Girls Who Code Pathways
Location: Virtual
Cost/Stipend: None
Acceptance Rate: Selective
Dates: June 29 – August 14
Application Deadline: April 15
Eligibility: High school girls and non-binary students (13+), including rising 9th graders and graduating seniors
Girls Who Code Pathways is a flexible, beginner-friendly coding program where you’ll explore different areas of computer science through self-paced projects and community-based learning. You will get to choose from tracks like data science, AI, game design, cybersecurity, and web development, and spend six to seven weeks building hands-on projects at your own pace. Alongside coursework, you’ll get access to virtual events with tech companies, career panels, and workshops that introduce you to real-world applications of coding. A key part of the program is its strong community focus, where you’ll join a global network of peers through Discord and participate in optional live sessions for support and collaboration.
5. Stanford AI4ALL
Location: Virtual (in-person options available)
Cost: $4,120 (online); Financial aid available
Acceptance Rate: Highly selective
Dates: June 15 – 26
Application Deadline: February 6
Eligibility: Current 9th graders
If you’re curious about how artificial intelligence can be used to solve real-world problems, this program gives you both the technical foundation and the broader context to explore it deeply. Over two weeks, you’ll engage in live lectures, hands-on activities, and collaborative research projects that introduce key AI areas like computer vision, natural language processing, medical AI, and robotics. A major part of the experience involves working in teams to investigate a socially relevant problem and present your findings, helping you build both technical and communication skills. You’ll also interact with researchers, graduate mentors, and industry professionals, gaining exposure to how AI is applied in practice. The program includes career workshops and guest sessions that highlight different pathways in the field.
6. Kode With Klossy Summer Camps
Location: Virtual
Cost/Stipend: None
Acceptance Rate/Cohort Size: Not specified
Dates: June 1 – August 14 (multiple 2-week sessions)
Application Deadline: March 31 (tentative)
Eligibility: Students aged 13-18 who identify as young women or gender expansive; No prior coding experience required
Kode With Klossy Summer Camps are two-week coding intensives where you’ll build foundational programming skills while working on creative, real-world projects. You will get to choose from tracks like AI/ML, data science, or web development, and spend your time learning core concepts, such as Python, SQL, or JavaScript, through hands-on projects like building chatbots or designing websites. The program emphasizes both technical learning and community, so you’ll collaborate with peers, get guidance from instructors, and join a network of alumni interested in tech.
7. Stanford AIMI Summer Health AI Bootcamp
Location: Virtual
Cost: $2,000 + $45 application fee; Financial aid available
Cohort Size: 50 students per session
Dates: June 15 – 26; July 6 – 17
Application Deadline: December 15 – February 21
Eligibility: U.S.-based high school students (14+); No coding experience required
The Stanford AIMI Summer Health AI Bootcamp is a two-week program that introduces you to how artificial intelligence is used in healthcare and medicine. Through lectures led by Stanford researchers and clinicians, you’ll explore topics like machine learning, medical imaging, and responsible AI, while also discussing how these tools are applied in real clinical settings. You’ll participate in group discussions, case studies, and collaborative activities that help you connect technical ideas to real-world healthcare challenges. You’ll also hear from guest speakers across academia and industry, helping you understand different career paths in health tech.
8. Syracuse University Summer College – Online: Object-Oriented Programming Fundamentals
Location: Virtual
Cost: $1,995; Discounts and scholarships offered
Acceptance Rate/Cohort Size: Not specified
Dates: July 6 – 23
Application Deadline: May 1
Eligibility: Rising high school sophomores, juniors, seniors, or recent graduates
During the Object-Oriented Programming Fundamentals course, you’ll learn how to structure programs using classes and objects, understand core programming concepts, and apply them to solve real-world problems. Each class combines lectures with hands-on coding practice, helping you reinforce concepts by actively building programs. By the end of the course, you’ll complete a final project based on your own interests, simulating a real client-style application. This course focuses on object-oriented thinking, a foundational skill that underpins most modern software development.
9. Johns Hopkins CTY: Coding and Creating with Arduino
Location: Virtual
Cost: $1,850; Financial aid offered
Acceptance Rate: Selective
Dates: June 16 – September 1
Application Deadline: May 11
Eligibility: 7th-11th graders
Coding and Creating with Arduino is an advanced online course that teaches you to build real-world electronic systems using both hardware and software. You’ll work with Arduino microcontrollers, sensors, and circuits to create interactive projects, like devices that respond to motion or collect environmental data, while also learning how to read and modify code. The course combines weekly live classes with independent work, giving you time to experiment and build your own prototypes over 12 weeks. A key highlight is the hands-on approach, giving you the chance to learn to code, design, and build functional electronic systems from scratch.
10. HUSAI AI (Harvard Undergraduate Society for AI) Bootcamp
Location: Virtual
Cost: $795 (early); $995 (final pricing)
Acceptance Rate/Cohort Size: Not specified
Dates: June 1 – 26 (multiple 1-week cohorts)
Application Deadline: April 28
Eligibility: High school students; requires Python experience and a strong math background (calculus preferred)
The HUSAI AI Bootcamp is a fast-paced, five-day intensive where you’ll explore advanced topics in artificial intelligence through lectures, coding sessions, and a final project. Across the week, you’ll learn about neural networks, transformers, computer vision, and reinforcement learning, while also discussing real-world applications like ChatGPT and self-driving systems. Each day combines technical instruction with hands-on activities, culminating in a mini hackathon where you’ll prototype and present your own AI project. You’ll also get exposure to topics like research pathways and college applications, making it both a technical and academic enrichment experience.
11. Brown University Pre-College Programs: AI, Data Science, and Machine Learning
Location: Virtual
Cost: $5,554 + $80 nonrefundable application fee; Financial aid offered.
Acceptance Rate: Competitive
Dates: June 22 – July 17
Application Deadline: May 8
Eligibility: High school students (ages 14-18) with prior programming experience (Python or R) and some background in statistics and probability
Brown’s AI, Data Science, and Machine Learning course is a rigorous four-week pre-college program designed to give you a practical foundation in how data-driven systems work. You’ll explore topics such as data visualization, predictive modeling, and machine learning, while also being introduced to deep learning, computer vision, and recommendation systems. The course emphasizes real-world applications, so you’ll think through how data science is used in fields like healthcare, sports, and business, and consider ethical challenges in building AI systems.
12. Johns Hopkins CTY: Dream It, Code It, Build It
Location: Virtual
Cost: $1,365; Financial aid offered
Acceptance Rate: Competitive
Dates: June 17 – July 22; July 13 – August 17
Application Deadline: May 11 (Session A); June 8 (Session B).
Eligibility: 7th-10th graders who meet CTY identification requirements (Quantitative level); No prior coding experience required
Dream It, Code It, Build It is a beginner-friendly course that teaches you to design and develop your own mobile app using MIT App Inventor, a visual, block-based programming platform. Through weekly live sessions and hands-on activities, you’ll build an app from scratch, learning how to structure logic, design user interfaces, and test your product. Along the way, you’ll strengthen problem-solving and computational thinking skills while working on real-world-inspired challenges.
13. Harvard (edX): Data Science: Building Machine Learning Models
Location: Virtual
Cost: Free (optional $149 certificate)
Acceptance Rate/Cohort Size: Open enrollment
Dates: Self-paced (approximately 8 weeks)
Application Deadline: Rolling
Eligibility: High school students
This Harvard edX course introduces you to the core ideas behind machine learning by guiding you through the process of building a movie recommendation system. You’ll learn how algorithms use data to make predictions, covering key concepts like training data, overfitting, cross-validation, and regularization. The course walks you through popular machine learning techniques step by step, helping you understand not just how models work, but why they’re used in real-world systems like spam filters and recommendation engines.