07/05/2026
Learning AI by Building: Fugumobile x Harrow International School Shanghai
It was a real pleasure for Fugumobile to work with the Grade 10 and 11 students at Harrow International School Shanghai for our 6-week Project-Based Learning (PBL) AI Campus Buddy Program.
Over the course of the 6-week project training program, Fugu’s team trained the students on how conversational AI works, combining theory with practical development workshops that introduced them to modern AI tools and workflows used in industry today.
The program was highly hands-on, practical, and built around learning by doing. Students were not only exposed to AI concepts, but also guided through the process of building their own AI-powered “Campus Buddy” assistants from idea to prototype.
As part of the training, students learned how conversational AI systems are created using Python, APIs, embeddings, prompt engineering, and large language models (LLMs). They explored how AI assistants can retrieve information, answer questions, and provide contextual responses using vector embeddings and semantic search techniques.
Students were introduced to tools and platforms commonly used in AI development. They also learned how embeddings work by converting text into numerical vectors that allow AI systems to understand meaning and similarity between questions and answers.
Fugu’s team shared its industry experience across AI product development, digital product thinking, UI/UX design, conversation design, naming, branding, and how to shape an idea into something that can genuinely help users.
The workshops covered practical AI development concepts including prompt engineering, chatbot workflows, knowledge base creation, RAG, user testing, AI personality design, conversational tone, and responsible AI.
What made the program even more interesting was the range of topics the students chose for their projects, they independently selected areas that mattered personally to them, demonstrating both creativity and curiosity across a wide variety of subjects.
Projects ranged from physics to aviation, maths to medicine, football to mental health, with students exploring how AI could support learning, wellbeing, productivity, and student life on campus.
On the final day, each student presented their finished product to the class. They explained why they chose their topic, who it was designed for, and how their AI assistant could help users.
It was a strong moment to see the students speak about their ideas with confidence and clarity.
By the end of the program, students had not only gained exposure to AI concepts, but also experienced what it feels like to think, build, test, and present like real AI product teams.
