2025 Artificial Intelligence
and Self-driving Summer Program

9th - 12th Grade

Check out our interview with TBR News Media here

Program Dates and Place

This is a day program: housing and transportation are not provided.

If you need lodging with free shuttle to/from our location, you can book at group discount rate in a nearby hotel at your own responsibility. Click here to learn more info.

Eligibility:  High-school Students entering 9th to 12th grade in 2025-2026 school year

Place:  

             Building: Center of Excellence in Wireless and Information Technology (CEWIT)

             Address: 1500 Stony Brook Rd, Stony Brook, NY 11794

Time:         9:30 am – 4:30 pm

Date:         

     July 7 – July 18, 2025 (Monday to Friday)

Why choose us?

Program Fee, Registration, and Contact

Program Fees: $2,000

Payment Method: (Please kindly write student name and session number)

  1. Zelle (preferable) – Sunrise Technology Inc., 631-507-3608 or sunrisetechnology001@gmail.com
  2. Mail check to Sunrise Technology Inc., CEWIT, 1500 Stony Brook Road, Stony Brook, NY 11794

**Maximum 24 seats per session, registration is first come first serve

Any and all questions about registration or fees should be directed to info@sunriseaitech.com

Program Instructors

The program instructors are a group of Sunrise Technology employees/engineers with direct experience designing, testing, and implementing the system. Leading instructor is Professor Dantong Yu, who has years of teaching and research experiences in the field of machine learning.

Management: 

                            Program Director: Yu Sun, CEO of Sunrise Technology Inc.                        

Enroll now!

Gain Knowledge and Insight

Become familiar with Machine Learning and Deep Learning concepts, frameworks, and methodologies

Explore Problem Solving

Utilize your machine learning toolbox to solve actual problems!

Connections & Community

Meet new friends who share a common interest!

Have Fun

Have a blast driving the robot and watching it drive itself!

Program Structure

The program structure is centered around lectures where the students will learn the relevant concepts and a lab portion where they can apply what they learned in a more hands on way. 

Day 1. F1/10 Autonomous Driving Vehicle Introduction, Hand-on drive the real radio-controlled vehicle in-door and out-door, practice and control your car from your desk. 

Day 2. Introduction to Deep Learning and Self-Driving System Break-Down: Traxxas 1/10 RC Car, Cell Phone Programming, Hardware Components, Programming Environment

Day 3. Python Programming Basic and Machine Learning Basics (Linear Algebra, Probability, and Gradient Descend)
Basic Software Install Anaconda, Google Colab
Day 4. Linear Neural Networks
Day 5. Multilayer Perceptron (MLP), your first Deep Neural Networks Models

Day 6. Convolutional Neural Networks for Self-Driving

Day 7. Advanced Convolutional Neural Networks for Self-Driving; 
Afternoon:  Indoor Data Collection Training and Testing Self Driving with the five most popular Convolutional neural Networks models. 

Day 8. Object Detection Networks. Model Training and Testing Day (In-door close-loop track)

Day 9. Model Training and Testing Day (Out-door-parking lots)

Day 10. Parents’ day, Robotic Racing Competitions (Fast, Furious, and Safe), and graduation and certification ceremony

Videos from previous sessions:

Here are some videos showcasing the camp experience

Testimonials:

Hear from some of our students about the experience they had last summer:

With or without a mathematical background this course will change the way you look at AI. It's not going to be an abstract concept anymore nor will it be a scary technology that you see on the news. This will clarify what's working behind the scenes as AI drives your car.
Franklin Lee
New York
I had an incredible amount of fun during this summer program. I learned a variety of things and received an opportunity that none of my peers have been able to get. Along with my partner, Yama, we trained a machine learning model to autonomously drive an RC car. I learned that the possibilities are endless with machine learning. Overall, I would definitely recommend this summer program to someone interested in this field.
Syed Raza
Saudi Arabia
We got to present our models to the entire class at the end of the course. I would greatly recommend it and if given the chance I would go again next summer!
Konstin Le
Hong Kong
The hands on learning was mostly comprised of learning how to train models, and training the models that were able to navigate any sorts of terrain and various types of obstacles. It was absolutely thrilling and an absolute must for anyone who's interested in the future of transportation, computer science, or machine learning.
Ali Sayan
New York