AI course learning ladder
The entry-level course is mainly aimed at inspiring interest and is suitable for students with zero foundation in AI and programming. The course covers AI art creation, music creation, robot control, VR/AR experience, etc., allowing students to easily master the basic concepts of AI and cultivate logical thinking and creativity through game-based learning. Learning these knowledge points can open up students' interest in technology and lay the foundation for more in-depth learning in the future. It is the entry-level ladder for AI learning.
- Introduction to AI Artistic Creation:
- Introduction to AI Music Composition
- Maqueen Plus x Huskylens Artificial Intelligence
- Sports and STEM innovative courses (jointly developed with the Education University of Hong Kong)
- Computational Thinking and Game Design (jointly developed with Hong Kong Education City)
- CoSpaces VR/AR Creation and Experience Course
- LEGO SPIKE Programming Course
- AI video production and design course
- AI Campus TV Anchor Course
- Scratch AI discovery
Intermediate courses are suitable for students who have mastered basic programming concepts and are designed to strengthen students' programming abilities and AI application skills. The courses cover Python programming, Internet of Things applications, robot competitions, drone control, etc., allowing students to learn in practice and improve their problem-solving abilities and innovative thinking. Learning these knowledge points can improve students' technological literacy and prepare them for participating in more advanced AI projects in the future. It is an advanced step in AI learning.
The advanced course is designed for students with a foundation in Python programming and aims to cultivate students' deep learning capabilities and AI project development capabilities. The courses cover deep learning, machine learning, cloud platform applications, chat robot development, autonomous driving, robotic arm control, etc., allowing students to master cutting-edge AI technology and improve scientific research capabilities and competitiveness. Learning these knowledge points can allow students to delve into the field of AI and lay a solid foundation for future studies or employment. It is a professional ladder for AI learning.
Introduction to AI painter
AI-assisted sketching
AI and abstract art
AI game character design
AI poetry and visual art
AI artist collaboration
CoSpaces is a digital learning platform that provides students and teachers with a virtual collaborative space. Through CoSpaces, you can engage in real-time cross-school collaboration, remote teaching, and team cooperation. This platform allows users to create and design 3D virtual environments and engage in various activities within these environments, such as game design, scientific experiments, programming, and storytelling. This design process helps foster students' creativity, logical thinking, and problem-solving abilities.This design process helps cultivate students' creativity, logical thinking, and problem-solving skills.
Course topics include:
- Introduction to CoSpaces
- Exploring CoSpaces
- Exploring Coding Concepts with CoSpaces
- Advanced Coding Concepts
- Design Principles in CoSpaces
- Collaboration and Practice Exercises in CoSpaces
- Creating More Complex Interactive Spaces
Course topics include:
An introductory exploration of AI music generation
Improvisation and AI
AI music style transfer
AI emotional music creation
AI and human musicians collaborate
- AI video script creation and storyboard design
- AI-assisted film storyboard production
- AI movie scene and character design
- AI video special effects and animation production
- AI film soundtrack and sound effects design
- Video editing, transitions and synthesis techniques
- AI video color grading and post-processing
- AI video project implementation and results release
- AI virtual anchor image creation and setting
- AI voice cloning, style transfer and training
- News interview skills and practical drills
- Press release writing and script creation
- Virtual anchor expression and lip synchronization skills
- AI anchor news broadcast video production and post-production
- Media literacy and journalism ethics
- Publication and application of AI anchor results
- Microsoft Makecode Usage
- The basic concepts of programming
- How to use sensors (such as ultrasonic)?
- Creating a facial recognition model
- Creating an object tracking model
- Creating a color tracking model
Course topics include:
- Smart posture corrector
- Smart rope skipping counter
- AI driven motion sensing game
This course will introduce students to the world of drone technology and explore how to apply programming techniques and STEM concepts to develop innovative solutions. Through hands-on activities and experiments, students will learn how to program drones and apply them to scientific experiments, technical explorations, and creative applications. This course aims to cultivate students' logical thinking, teamwork, and innovation skills while expanding their knowledge and skills in technology. It will allow them to discover the vast potentials of applying drones to solve real-world problems through creativity and code.
Course topics include:
- Introduction to Python Programming
- Drone Operation and Control
- Drone Sensor Applications
- Practical project: Intelligent application of drones
Course topics include:
- Key elements of operational thinking
- Apply computational thinking to solve problems
- Create your own game with MakeCode Arcade
- Design games that include levels, characters, scoring, etc.
- Develop different types of games such as fantasy mazes, space adventures, etc.
Course topics include:
- Master different levels of software programming knowledge and skills
- Improve logical thinking, computational thinking and problem-solving skills
- Be fully prepared to take the National Youth Software Programming Level Examination
- Obtain national certification and enhance personal competitiveness
- World Robot Competition (WRC)
- National Primary and Secondary School Information Technology Innovation and Practice Competition (NOC)
- National Youth Aerospace Innovation Competition
- National Youth Science and Technology Education Achievements Display Competition
- National Youth Artificial Intelligence Innovation Challenge
- Competitions such as "Innovation Association Cup" and Super AI Challenge
With the reform of the DSE ICT curriculum in 2025, programming skills and computational thinking have become compulsory core competencies. As one of the most popular and easy-to-learn programming languages, Python has been included as the designated language of DSE ICT. To help schools and students adapt to the new curriculum, we have specially designed this course.
This course focuses on the 2025 DSE ICT exam syllabus and is dedicated to cultivating students' programming abilities, computational thinking and problem-solving abilities. The course content covers the basics of Python language, classic algorithms and data structures, DSE examination question analysis, etc., while exploring the practical applications of Python in various fields. Our goal is to lay a solid foundation for programming, improve test-taking abilities, and stimulate interest in learning.
Course topics include:
- The Python syntax in the HKDSE ICT course
- Computational Thinking and Classical Algorithms
- Software engineering concepts and techniques
- DSE ICT exam preparation
Course topics include:
- game design concepts
- GDevelop game engine
- 2D game implementation
- 3D game scene design
- AI game development
- Unity game engine
- VR game development
Course topics include:
- Frontiers of Artificial Intelligence: Deep Learning
- Deep Learning Model Development Process
- Deep Learning Tools in Python
- Object Recognition and Tracking Models
- Face Recognition Models
- Autonomous Driving Models
- Fundamentals of Hardware for Robotics
- AI ethics concepts and importance
- Analysis of international AI ethical principles
- AI data privacy and security
- Algorithmic bias and fairness
- The impact of AI technology on society
- AI transparency and explainability
- AI challenges and opportunities for employment
- Student AI tool usage guide
- Critical thinking on AI-generated content
- Interdisciplinary AI education practice methods
VINCI AI joins hands with top universities and official institutions to create a new future of smart education
AI Artificial Intelligence Education FAQ
What level of students are each of the three course ladders (beginner, advanced, and advanced) suitable for?
Beginner's course Suitable for primary school and junior high school students, no programming experience is required. It is designed to inspire students' interest in learning and establish basic knowledge of AI.Advanced courses Suitable for high school and junior high school students. It is recommended that students already have some programming experience. The course content covers more advanced programming skills and AI applications.Advanced courses It is suitable for middle school students who need to have a basic knowledge of Python programming. It is designed to cultivate students' deep learning ability and AI project development ability.
If a student does not have any programming experience, can I directly take an intermediate or advanced course?
We do not recommend that students without programming experience jump straight into advanced courses. It is recommended to start with an introductory or intermediate course to gradually build up programming foundation and AI knowledge, and then gradually learn more in-depth content.
How long does it take to complete each level of the course?
The time required for each course will vary depending on the course content and student learning progress. Generally speaking, each course takes approximately 10-20 hours to complete. Please refer to the individual course introductions for detailed information.
What is the Jetson AI Specialist certificate course series? What are the benefits of getting a certificate?
This series of courses is specially designed for high school students and aims to train students to become AI experts. The course content covers Python, deep learning, NVIDIA Jetson platform operation, and deep learning project practice. After completing the course and passing the assessment, students can obtain the NVIDIA Jetson AI Specialist certificate to prove their AI professional capabilities, which will help with further education and future employment.
What competitions will the Super AI Challenge competition course participate in?
This course aims to train students to participate in robotics competitions, including the World Robot Competition (WRC), the National Primary and Secondary School Information Technology Innovation and Practice Competition (NOC), the National Youth Aerospace Innovation Competition, and the CTEA "Innovation Association Cup" Creative Technology in Hong Kong "Whitelist" competitions such as robot competitions.
What is a "whitelist" competition?
"Whitelist" competitions refer to competitions that are officially recognized by the Ministry of Education of China. The competition results are regarded as officially recognized academic achievements and have important reference value for students' further studies and development, helping to enhance students' competitiveness.
What platforms and tools are used in the AIoT Smart Internet of Things course?
For students at different learning stages, we use platforms and tools such as Micro:bit and Boson (beginner/advanced) and Arduino (advanced/advanced) to allow students to learn the application and programming skills of the Internet of Things.
What game engines will be taught at the Metaverse Game Development Bootcamp?
This training camp covers three stages of game development, using game engines such as GDevelop (2D game development), Spatial (3D games and AI metaverse), and Unity (virtual reality game development).
What does the OpenAI Chatbot course cover?
This course covers the use of OpenAI API, dialogue data collection and management, advanced dialogue processing (Prompt Engineering), integrated applications (Telegram and MIT App Inventor), and performance evaluation and optimization.
What hardware are used in the Jetbot AI self-driving racing course and the Dofbot AI robotic arm course?
The Jetbot AI self-driving racing course uses the NVIDIA Jetson Nano-based Jetbot racing kit; the Dofbot AI robotic arm course uses the Dofbot six-degree-of-freedom educational robotic arm. Both courses use Python programming to control hardware.
Here are some of the schools and organizations they have previously served
Hong Kong Education City
Hong Kong Metropolitan University
Education University of Hong Kong
Oxbridge International School
Kingston International School
Cheung Chu Shan English Secondary School
Salesian English School
Tak Ai Secondary School
Po Leung Kuk Ho Yin Tong Secondary School
Tung Wah Group of Hospitals Fung Wong Fung Ting Secondary School
catholic wuhua middle school
Lize Middle School
Sister Delia Memorial School
Qingshan Catholic Primary School
Po Leung Kuk Lam Man Chan English Primary School
Po Leung Kuk Luk Hing Too Primary School
Po Leung Kuk Tin Ka Ping Primary School
Sir Kadoorie Government Primary School
Ping Shek Catholic Primary School
Shau Kei Wan Government Primary School
Tai O Primary School
Pok Oi Hospital Prime Minister's Association Liang Province School
POH 80th Anniversary Tang Ying Hei College
Buddhist Ye Jinan Secondary School
Yu Chun Keung Memorial Secondary School
Bishop John White Anglican Secondary School
Pat Heung Rural Committee Charity Secondary School
St. Peter's Secondary School
holy family school
Hong Kong Red Cross Hospital School
HK01 Summer AI Summer Camp 2022
Conducted artificial intelligence painting workshops for 30 primary schools
Youth Association Youth Center (Hung Hung Kiu)
Children's Club
