AI901-FA26-SU-NTN-Vinci AI Creator

Program Description

Course Details: • Name: Vinci AI Creator • Date: September 14, 2026 – January 24, 2027 • Time: Sundays, 9:30 AM – 11:00 AM • Location: Newton Classroom • Grades: G9+ • Prerequisite: None Vinci AI Creator is a 16-week capstone program of the Vinci AI pathway, designed for students in Grade 9 and above who are ready to build real AI products using today's most advanced artificial intelligence technologies. Rather than learning individual tools, students integrate software, AI models, hardware, and cloud services into complete intelligent systems that solve real-world problems. The flagship project of the course is the development of a Raspberry Pi AI Personal Assistant. Students will build an intelligent device capable of listening, speaking, remembering conversations, understanding images, and interacting naturally with users through voice and vision. Along the way, they will learn how modern AI products combine speech recognition, large language models (LLMs), computer vision, memory systems, and text-to-speech technologies into a seamless user experience. Students will also gain experience in Python software development, API integration, prompt engineering, system architecture, debugging, version control, and AI application design. Throughout the course, they will follow a professional product development workflow—from planning and implementation to testing, optimization, and demonstration. By the end of the program, students will have created a portfolio-quality AI product while developing practical skills that prepare them for future studies and careers in artificial intelligence, computer science, robotics, and engineering. Learning Outcomes: Students will be able to: Build an AI Personal Assistant on Raspberry Pi using modern AI technologies. Develop Python applications that integrate cloud AI services through APIs. Implement voice interaction using speech recognition and text-to-speech systems. Apply large language models (LLMs) to create intelligent conversational experiences. Build computer vision features that allow AI systems to understand and respond to images. Design memory and personalization features that improve long-term user interactions. Apply software engineering practices including debugging, testing, version control, and modular system design. Develop product design, presentation, collaboration, and problem-solving skills through portfolio-level AI projects.