Program Overview
Explore the exciting field of applied artificial intelligence in engineering this summer at the world-renowned University of California, Berkeley. Ranked the #3 Best Undergraduate Engineering Program by U.S. News & World Report (2024), the Berkeley College of Engineering is known for academic excellence, cutting-edge research, and innovative approaches to engineering education. Located in the heart of the San Francisco Bay Area, a global hub for technology and innovation, UC Berkeley connects you to the world’s leading engineers.
In collaboration with Shorelight, international students currently enrolled in an undergraduate degree can participate in the Berkeley Engineering Applied AI program to learn about the future of applied artificial intelligence in engineering and its role in engineering applications.
The Summer Institute runs for two weeks and is ideal for students interested in exploring:
- Clean and renewable energy and infrastructural systems
- Biomedical and biomechanical engineering
- Engineering data analysis
- Advanced manufacturing
- Systems engineering and supply chain management
- Robotics and autonomous systems
- IoT and smart infrastructure
- Virtual assistants and embedded support systems
- Computer vision and image processing
- Ethics and societal impacts of AI in engineering
Students will engage with expert faculty from a top public university in the US, and learn how, as young people, AI could impact their future careers and society. Students will participate in lectures, seminars, and interactive group projects. Off campus, discovery continues with visits to leading technology companies to develop industry insights. Participants will also take part in
cultural excursions and events on campus and around the San Francisco Bay Area.
By the end of the program, students will complete capstone presentations that synthesizes technical, analytical, and conceptual insights and is presented to peers and instructors. Separate tracks are offered for students with and without technical backgrounds.
Prepare for academic and professional success by learning and collaborating in the world’s most exciting hub for engineering – register for the Berkeley Engineering Applied AI program today!
Program Dates
July 6 – July 28, 2026
To reserve your spot, you must complete a registration form and submit all required documents. Refer to the FAQ below for additional registration details.
Class Schedule Example
Weekday Schedule (Typical Day):
Faculty Lectures: 9:30 AM – 11:00 AM and 1:30 PM – 3:00 PM
Capstone Project Sessions: 11:15 AM – 12:30 PM and 3:15 PM – 4:30 PM
Site visits and soft skills workshops integrated on select days
The daily schedule will look something like:
| 8-9:30am | Breakfast |
| 9:30-11am | Core Lecture |
| 11:15-12:30pm | Capstone Seminar |
| 12:30-1:30pm | Lunch |
| 1:30-3pm | Core Lecture |
| 3:15-4:30pm | Capstone Seminar |
| 4:30-6pm | Dinner |
| 6-7pm | Social Activities |
Applications Now Open!
Apply by May 1, 2026 to be considered for the program.
Program Price
Regular Price: $8,500
Commuter Price: $7,500
The program price covers the cost of room & board, faculty, transportation to activities & visits, site visits, insurance and administrative fees.
Scholarships available to select individuals. Separate application required.
Info Session
Interested in learning more about this program? We will host an info session in late February/early March. Please register to receive updates on the info session and other program information.
FAQ
Who is this program for?
This program is ideal for ambitious undergraduate students (18+) who want to understand and apply artificial
intelligence within engineering and real-world systems while learning directly from UC Berkeley Engineering faculty.
Best suited for students who:
- Are interested in AI, engineering, and applied technology
- Want hands-on experience solving real-world problems with AI
- Are curious about how AI impacts infrastructure, manufacturing, robotics, and society
- Want exposure to the innovation culture of the U.S. West Coast and Silicon Valley
- Are ready for university-level, faculty-led learning
What will students study?
Students engage in faculty-led lectures and applied learning covering topics such as:
- Clean and renewable energy and infrastructural systems
- Biomedical and biomechanical engineering
- Engineering data analysis
- Advanced manufacturing
- Systems engineering and supply chain management
- Robotics and autonomous systems
- IoT and smart infrastructure
- Virtual assistants and embedded support systems
- Computer vision and image processing
What hands-on experiences are included?
- A Capstone Project: “AI in Practice”, focused on applying AI to real-world challenges
- Project pathways such as AI product development, analytics, or industry applications
- Final project presentation demonstrating applied learning
- Soft-skill workshops in global citizenship, professional networking, and effective presentation
What will students gain from the program?
- Certificate of Achievement and completion letter from UC Berkeley
- A completed AI Capstone Project for résumés or portfolios
- Experience working with Berkeley Engineering faculty
- Strong preparation for future study or careers in AI, engineering, or technology
How long is the program?
A two-week immersive program, delivered in person with structured academic sessions, projects, and cultural activities.
How does this program help my academic or career goals?
This program helps students move from theory to application, showing how AI is used in real engineering and industry
contexts.
Students gain:
- Hands-on experience applying AI to real-world systems
- Exposure to how AI is taught and researched at a top engineering school
- Practical projects that demonstrate initiative, technical curiosity, and problem-solving
How does this program prepare students for future study or work in AI?
Students build:
- University-level learning habits
- Applied problem-solving and design thinking skills
- Confidence working with complex, interdisciplinary AI topics
This experience signals readiness for advanced study or early-career roles in technology-driven fields.contexts.
Contact Us
We’d love to hear from you and answer any questions you may have. Send us an email if you have any questions!
Email: globesummer@berkeley.edu