AI & Robotics
Learn how artificial intelligence powers robots and autonomous systems through simulations, real-world examples, and hands-on problem-solving activities.
AI & Robotics introduces students to how artificial intelligence enables robots and autonomous systems to perceive their environment, make decisions, and act independently. Students explore core robotics concepts such as sensors, perception, and control, alongside AI techniques used for object detection, navigation, and decision-making. Real-world examples—including self-driving cars, drones, and industrial robots—illustrate how AI-driven robotics is applied across transportation, manufacturing, and service industries.
Students experiment with AI-enabled robotic behaviors and analyze system performance under different conditions through guided simulations and structured, low-code activities. The program also emphasizes safety, reliability, and ethical considerations in autonomous systems, including failure modes, human oversight, and responsible deployment. The program concludes with a team-based capstone project in which students design, test, and present a simulated AI-powered robotic system during a culminating showcase.
Program Details
Start Date
July 27, 2026
End Date
August 7, 2026
Duration
2 weeks
Program Times
5:00 - 7:00 PM PST
Program Cost
$400
Program Information
Prerequisites
- Open to high school students in Grades 9–12
- Prior exposure to programming or robotics concepts is helpful but not required
- Interest in engineering, automation, and AI systems
Program Format
- Live online sessions 5:00 - 7:00 PM PST
- Concept-driven lectures with clear visual demonstrations
- Real-world robotics and autonomy case studies
- Simulation-based, low-code hands-on activities
- Structured group discussions on autonomy, safety, and ethics
- Team collaboration for a guided capstone project
Curriculum Highlights
- Robotics Foundations: Sensors, perception, actuation, and basic control concepts
- AI for Robotics: Computer vision, decision-making, and simple autonomy pipelines
- Simulation-Based Learning: Test and evaluate AI-driven robotic behavior in controlled environments
- Autonomy, Safety, and Ethics: Failure modes, reliability, human-in-the-loop systems, and ethical considerations
- Capstone Project: Design and analyze a simulated AI-powered robotic system and communicate results clearly
Capstone Project & Showcase
Students will complete a team-based capstone project focused on a simulated AI-powered robotic system. Working in small groups, students design a system for a defined task (e.g., navigation, obstacle avoidance, or object detection), explain how AI enables perception and decision-making, evaluate system performance and safety considerations, and present their designs and findings during the final showcase to parents, educators, and peers. A certificate of completion will be provided at the end of the program.
Meet the Instructors
Priya brings over 25 years of industry experience across a wide range of technology domains, with a specialization in AI and data. She has worked extensively with large-scale datasets and complex analytical concepts, translating technical work into practical, real-world applications. With more than a decade of teaching experience, she has taught students computer science, Python, AI, and data science, supporting learners at different skill levels. Priya is passionate about working with students to build confidence, curiosity, and responsible problem-solving skills through engaging, hands-on projects.
Anjana brings a strong background in data and AI education, with experience guiding high school students through hands-on projects that connect technical skills to real community needs. She helps students frame meaningful questions, work with real-world datasets, and communicate findings with clarity and confidence. Anjana is passionate about creating an inclusive, supportive classroom where students feel empowered to learn and contribute positively.
Program Registration
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