Now Enrolling · Summer 2026

AI Systems Development
Internship

Vision-Guided Robotic Manipulation System with Adaptive Grip Control

An intensive 2-month full-time in-person internship for college students and ambitious rising seniors. Includes hands-on training, a real AI hardware/software internship project, provisional patent application, and research paper submission.

June 15 – August 7, 2026
Haddee Berkeley · Next to UC Berkeley
College · Grad · Rising Seniors
40 hrs/wk · Full-Time · 2 Months
Apply Now View Detailed Syllabus
About the Program

Real AI. Real Hardware. Real Outcomes.

The AI Systems Development Internship is designed for students who want more than coursework — you'll operate as part of an autonomous, self-directed team building a production-quality AI system from scratch over 8 weeks.

The program bridges disciplines — AI software, FPGA hardware, and systems integration — ensuring you hit real milestones, draft patent claims, and leave with a tangible portfolio asset.

Team Tracks
⚙️ Hardware 💻 Software 📋 Product / Project Management
Lead Mentor
Mr. Mauro
Mr. Mauro
Industry Expert in AI Systems Development

Mr. Mauro teaches at UC San Diego, focusing on Computer Science, Machine Learning, and Digital Electronic Circuit Design. He brings over 20 years of industry experience as a hardware, software, and systems engineer at Qualcomm, where he was awarded more than 20 patents.

He has taught at Canyon Crest Academy for many years, with students consistently admitted to top STEM universities. A published author and research mentor, he has guided students to peer-reviewed, widely cited publications.

🏆 In 2019, 12 of his students were accepted to MIT.
The Project

What You'll Build

A production-grade AI system integrating computer vision, machine learning, and FPGA-based hardware control.

AI / Vision Layer
  • →YOLO-lite or MobileNet variant for real-time object detection
  • →Raspberry Pi 4 with Pi-camera pipeline
  • →Adaptive grip algorithms based on visual feature analysis
  • →Sub-millisecond inference via quantized image layers
Hardware / FPGA Layer
  • →Basys3 FPGA for hardware-accelerated motor control
  • →Pmod-based sensor interfaces
  • →FPGA-to-motor control integration
  • →Force feedback loop for adaptive grip control
Sprint Structure (4 × 2-Week Sprints)
Sprint 1
Pi-camera pipeline setup & system architecture
Sprint 2 — Core
Image layer quantization & matrix operations
Sprint 3
FPGA integration, force feedback & grip optimization
Sprint 4 — Demo
Optimization, documentation & final demonstration
Outcomes

What You'll Walk Away With

🤖
Functional MVP
FPGA + Raspberry Pi robotic system — a real GitHub project for future recruiters and applications.
📄
Technical Paper
6–8 page IEEE-format paper written for conference submission. Potential IEEE publication credit.
⚖️
Provisional Patent
File a provisional patent application with potential co-inventor status — a rare credential at any level.
📝
Resume Review
Personalized resume review tailored to your target track: Hardware, Software, or Product.
🎯
Interview Training
Mock interviews and preparation for technical roles at top companies and graduate programs.
🌐
Real-World Experience
Work as an autonomous team on a heterogeneous AI system — the kind of experience employers value.
Eligibility

Who Should Apply

  • ✓College students (any year)
  • ✓Graduate students
  • ✓Passionate rising seniors in high school
  • ✓Motivated to gain real-time, real-world experience
Students must complete a formal application and pass a selection interview to be admitted.
Location & Format

In-Person at Haddee Berkeley

2006 Kala Bagai Way, Unit 10
Berkeley, CA 94704
Right next to UC Berkeley Campus
40 hours per week · Full-time commitment
June 15 – August 7, 2026 (8 weeks)
Pricing

Program Fee

Includes training, internship project, provisional patent application, and research paper submission.

Early Bird
$8,000
Enroll & pay before April 30, 2026
Standard
$8,800
Enroll May 1 – 31, 2026

Questions about payment plans or additional discounts? Contact us via the application form.

Resources

Program Materials & Links

AI Systems Internship Application Form Detailed Syllabus YouTube: Info Session AI Systems Development Internship — FAQs
Limited Spots · Selection Interview Required

Ready to Build Something Real?
Apply Today.

Complete the application form. Selected applicants will be invited to a brief interview. Spots are limited and fill on a first-come, first-served basis.

Apply Now View Full Syllabus