A Week-Long Immersion Into AI and Robotics
High school students participating in Sunrise Technology’s self-driving robotics program experience an accelerated introduction to artificial intelligence, machine learning, and autonomous systems. Over the course of a week, students move from foundational concepts to building and programming a working self-driving RC car. The program is designed to replace passive learning with hands-on experimentation, helping students understand how modern AI systems operate in the real world.
This immersive approach allows students to see how code directly controls physical behavior, which makes abstract technical concepts far easier to grasp.
Who the Program Is Designed For
The program is open to high school students entering grades 9 through 12 in the 2026/2027 school year who are curious about technology, coding, or engineering. Prior programming experience is helpful but not required. Instruction is structured to support beginners while still challenging students who already have some exposure to Python or robotics.
By focusing on learning by doing, the program levels the playing field and allows students with different backgrounds to progress together.
Learning the Foundations of Artificial Intelligence
The first phase of the program introduces students to the core principles behind self-driving systems. Instructors explain how artificial intelligence models process information, make decisions, and improve through iteration. Students learn how sensors collect data and how machine learning models interpret that data to guide movement and behavior.
Short lectures are paired with interactive exercises so students can apply concepts immediately rather than memorizing theory without context.
Configuring the Self-Driving RC Car Platform
Once students understand the basics, they begin working directly with their self-driving RC cars. Sunrise Technology provides a fully assembled vehicle platform equipped with sensors and onboard computing hardware. Students follow guided instructions to configure the system, connect it to the required software, and prepare it for programming tasks.
This stage introduces real engineering considerations, including understanding hardware capabilities, system integration, and troubleshooting during configuration and testing.
Programming With Python and Machine Learning Models
With the hardware assembled, students shift their focus to software development. Using Python, they write code that gathers sensor data from the RC car and feeds it into machine learning models. These models help the vehicle recognize patterns such as track boundaries or obstacles.
Students do not start from scratch. Instead, they work within a structured framework that allows them to focus on logic, customization, and experimentation. This mirrors how real-world engineering teams build on existing systems rather than reinventing them.
Testing, Debugging, and Iteration
One of the most valuable parts of the program is the testing process. Students run their cars on physical tracks and observe how their code performs in real conditions. When the car behaves unexpectedly, students analyze what went wrong, recollect data, adjust their models, and test again.
This repeated cycle teaches critical debugging and problem-solving skills. Students quickly learn that failure is not a setback but part of the development process.
Engineering Challenges Beyond Code
In addition to programming, students tackle challenges related to sensor calibration, system accuracy, and performance tuning. They learn why a model that works well in one scenario may struggle in another. Instructors guide students through these challenges and explain how professional engineers approach similar problems.
These lessons help students understand the complexity behind autonomous vehicles and AI-driven systems.
Collaboration and Team-Based Learning
The program emphasizes teamwork and collaboration. Students share discoveries, help troubleshoot issues, and learn from one another’s experiments. Throughout the program, students also present their progress to peers and instructors, explaining their coding decisions, testing results, and problem solving process. At the conclusion of the week, each team delivers a final live demonstration of their self-driving RC car.
This environment reflects real technology workplaces, where progress depends on communication, shared problem solving, and the ability to clearly present ideas. Working as part of a team helps students build confidence while strengthening their technical communication skills.
From Beginner to Builder in One Week
By the end of the program, students have transformed from learners into builders. They leave with a working self-driving RC car and a clear understanding of how artificial intelligence, machine learning, and robotics intersect. Many students finish the program with a stronger interest in pursuing computer science, engineering, or AI-related fields.Sunrise Technology’s hands-on approach shows students what is possible when learning moves beyond the classroom and into real-world application. Apply for the program today!
