Applied AI in Engineering Summer Institute: Frequently Asked Questions

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University of California - Berkeley
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By Ruqyyaha Deane
Published on January 28, 2026

Explore how UC Berkeley’s approach to AI and engineering supports academic and career growth.

The Applied AI in Engineering Summer Institute at UC Berkeley is a two-week, immersive academic experience designed for undergraduate students who want to understand how artificial intelligence is applied within engineering systems, technology, and real-world industries.

Led by UC Berkeley Engineering faculty, the program combines applied learning, project-based instruction, and exposure to the innovation ecosystem of Berkeley and Silicon Valley, helping students bridge the gap between theory and practice in AI and engineering. Let us explore some of the most frequently asked questions about this summer program. 


Who is this program for?

This program is ideal for ambitious undergraduate students (18+) who want to explore artificial intelligence in engineering, infrastructure, and applied technology contexts.

It is 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 US 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 sessions that reflect UC Berkeley’s leadership in engineering and technology.

Topics may include:

  • 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?

Students complete a structured Capstone Project: “AI in Practice”, focused on applying AI concepts to real-world engineering challenges.

The experience includes:

  • Project pathways such as AI product development, analytics, or industry applications

  • Guided project development supported by faculty instruction

  • A final project presentation demonstrating applied learning and problem-solving

  • Professional skill workshops covering global citizenship, networking, and effective technical presentation

This project-based approach mirrors how AI is used in real engineering and industry settings.


What will students gain from the program?

By the end of the program, students leave with practical outcomes that strengthen both academic and career pathways.

  • 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, The program runs for two weeks and is delivered in person, combining:

  • Structured academic sessions

  • Applied project work

  • Cultural and enrichment activities

Students should expect a full-day schedule similar to an intensive undergraduate program.


How does this program help my academic or career goals?

This program helps students move from theory to application, demonstrating how artificial intelligence functions within 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

These outcomes strengthen applications for advanced study, internships, and early-career roles.


How does this program prepare students for future study or work in AI?

Students build core competencies essential for success in AI-driven fields, including:

  • 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.


For more detailed information on Shorelight’s summer programs, policies, housing, cost, and student support, visit our Undergraduate Summer Programs FAQs.


Still have questions? Reach out to a Shorelight advisor or explore other summer programs that may be of interest!