Overview
Through group-based practical work, decision-making and presentation practice, participants will integrate what they have learned to complete a small AI project. Participants will not only build solid AI application skills and teamwork ability, but also accumulate practical experience through showcasing their results, laying a firm foundation for the AI-driven learning environment of the future.
Course Content
-Introduction to core concepts of artificial intelligence and machine learning
-Exploring AI application cases in healthcare, finance, education and other fields
-Understanding the limitations of AI technology and common misconceptions
Generative AI and AI Agents
-Understanding how generative AI works and its main use cases
-Understanding the basic principles of Agentic AI
-Exploring AI ethics, data security and principles of responsible use
Applied Thinking and Communication Skills
-Practising task division and collaboration through small AI projects
-Building basic skills in decision-making, problem analysis and presentation preparation
-Practising presenting technical concepts and project outcomes concisely
Results Showcase and Feedback
-Presenting group AI project results
-Receiving professional comments and suggestions for skill improvement
-Compiling learning records as a basis for further learning
Format
Duration
Location
Instructor
Billy Hau
Former NASA engineer with a strong background in aerospace engineering; holds a master's degree in Mechanical Engineering from Lehigh University (USA) and a master's degree in Computer Science from the Georgia Institute of Technology. During his time at NASA Glenn Research Center, he took part in several cutting-edge R&D projects, including the Lunar Gateway space station, deep-space mining robots and hybrid-electric aircraft, and received the NASA Silver Achievement Medal and the AIAA best paper award for space energy systems. He also holds a patent for a deployment mechanism for small-satellite solar arrays.
Billy is also passionate about promoting STEAM education, has led the NASA Young Innovators outreach programme, has years of experience teaching from primary to secondary school level, and received the "Outstanding Teacher Award" from HKU SPACE (School of Professional and Continuing Education, The University of Hong Kong) in 2025, recognising his teaching strength. From an engineer's hands-on perspective, he guides students through project-based learning to explore mechatronics integration, artificial intelligence, aerospace technology and engineering design, giving classes both professional depth and innovative inspiration.