SEED Programs
Structured, progressive on-campus technology programs for secondary school students — building the AI literacy, digital skills and real-world experience that Hong Kong's Digital Education Blueprint expects of every student.
What Makes Our Programs Unique?
Hands-On Learning with Exclusive Industry Exposure
We go beyond theory — students learn by doing. Through project-based learning, problem-solving challenges and mentorship from industry professionals, they build practical capability and learn to work alongside AI tools with judgement. What sets us apart? Only SEED students gain access to exclusive field trips and workplace experiences that bridge the classroom and the real world.
We go beyond theory — students learn by doing. Through project-based learning, problem-solving challenges and mentorship from industry professionals, they build practical capability and learn to work alongside AI tools with judgement. What sets us apart? Only SEED students gain access to exclusive field trips and workplace experiences that bridge the classroom and the real world.
Structured Multi-Level Learning for Long-Term Growth
Unlike one-off workshops and bootcamps, SEED offers comprehensive, multi-level programs for secondary school students. With 20–30 hours per level, students progress through the stages the AI Literacy Learning Framework sets out — learn to apply, apply to learn, learn to think, think to innovate — building capability in data analytics, cloud computing and UX/UI design. Along the way they develop digital fluency, critical thinking about AI, and applied problem-solving.
Unlike one-off workshops and bootcamps, SEED offers comprehensive, multi-level programs for secondary school students. With 20–30 hours per level, students progress through the stages the AI Literacy Learning Framework sets out — learn to apply, apply to learn, learn to think, think to innovate — building capability in data analytics, cloud computing and UX/UI design. Along the way they develop digital fluency, critical thinking about AI, and applied problem-solving.
Tech-Centric Curriculum Designed for Future-Ready Skills
Our on-campus programs in data analytics, cloud computing and UX/UI design equip students with the in-demand skills powering today's digital economy, opening doors to further study and future careers. Every program also applies AI directly and stands on the foundations AI is built on: data, computing power and the interfaces people use, alongside the digital literacy and technology ethics that professional work now demands.
Our on-campus programs in data analytics, cloud computing and UX/UI design equip students with the in-demand skills powering today's digital economy, opening doors to further study and future careers. Every program also applies AI directly and stands on the foundations AI is built on: data, computing power and the interfaces people use, alongside the digital literacy and technology ethics that professional work now demands.
Our Model
A Proven Framework for AI and Digital Skills Education
SEED's programs are built on the cross-sector collaboration the Blueprint for Digital Education Development calls for, bringing together secondary schools, industry partners, mentors and students. This ecosystem approach bridges theory and real-world application, helping learners gain deeper understanding, stronger AI and digital capabilities, and meaningful exposure to the world of work.
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Secondary Schools
We partner with secondary schools across Hong Kong to broaden student access to AI and digital skills education. Our programs are delivered on campus and scheduled outside regular class hours, aligning with school calendars. Schools can name our provision in the digital and AI education strategy in their School Development Plan, and each program comes with the attendance records, student work and assessment data.
We partner with secondary schools across Hong Kong to broaden student access to AI and digital skills education. Our programs are delivered on campus and scheduled outside regular class hours, aligning with school calendars. Schools can name our provision in the digital and AI education strategy in their School Development Plan, and each program comes with the attendance records, student work and assessment data.
02
Experienced Instructors, Hands-On Learning
We work with experienced and supportive instructors to deliver our on-campus programs using interactive, hands-on teaching methods. Each course balances foundational theory with practical application through labs and real-world collaborative projects, so students stay motivated and ready to apply their skills beyond the classroom. Assessment follows the Framework's principles: diversified modes, process over outcome, authentic contexts, and balancing knowledge and values.
We work with experienced and supportive instructors to deliver our on-campus programs using interactive, hands-on teaching methods. Each course balances foundational theory with practical application through labs and real-world collaborative projects, so students stay motivated and ready to apply their skills beyond the classroom. Assessment follows the Framework's principles: diversified modes, process over outcome, authentic contexts, and balancing knowledge and values.
03
Industry Partners
We collaborate with a wide range of companies — from startups to large enterprises across industries — to keep our programs aligned with evolving digital workforce needs. These partners provide input on in-demand skills and offer students real-world exposure through field trips, workplace experiences and mentorship during projects.
We collaborate with a wide range of companies — from startups to large enterprises across industries — to keep our programs aligned with evolving digital workforce needs. These partners provide input on in-demand skills and offer students real-world exposure through field trips, workplace experiences and mentorship during projects.
04
Up-to-Date Curriculum, Taught by Industry Experts
Our courses are refreshed quickly to reflect the latest professional and AI tools, trends and developments in technology — helping students build skills that stay relevant. Classes are led by experienced instructors active in the tech industry, bringing real-world perspectives that keep our teaching connected to current practice.
Our courses are refreshed quickly to reflect the latest professional and AI tools, trends and developments in technology — helping students build skills that stay relevant. Classes are led by experienced instructors active in the tech industry, bringing real-world perspectives that keep our teaching connected to current practice.
Our Model Tap Now
Our Model Tap Now
Our Programs
Cloud Computing
SEED's accredited, three-level Cloud Computing curriculum equips students with practical skills on real cloud infrastructure. Students deploy applications, configure servers and build simple cloud-based systems while learning key service models such as computing power management and software deployment. Cloud computing is one of the three key elements of AI ( data, algorithms and computing power), and this course gives students hands-on understanding of the infrastructure AI systems run on. It fills a critical gap in the current school curriculum and supports students pursuing future ICT careers.
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Data Analytics
SEED's hands-on Data Analytics programme guides students through the full data cycle — from collecting and analysing data to visualising patterns and presenting insights. Students work with professional-grade tools to solve real-world problems and support evidence-based decisions. Students also discover how data patterns allow AI models to learn and predict, how bias enters an AI model, why AI output must be fact-checked, and how to judge whether a pattern is real. Designed for students interested in business, science or technology, it builds transferable skills valued across industries.
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UX/UI
SEED's hands-on UX/UI programme introduces students to the foundations of user interface design and user experience thinking, from user research and wireframing to prototyping and testing. Through practical projects, students learn to design digital products that are both visually engaging and user-friendly. Students research, sketch and draft first; AI is then used to review their work, verifying sources, testing interview questions, flagging stereotypes and biases or challenging a problem statement. AI suggests: students decide what to accept or reject, and must explain why. This discipline of judging AI output is the "reflection on using AI" the AI Literacy Learning Framework sets out. Designed for students interested in visual arts, design and ICT.
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Our Programs
Cloud Computing
SEED's accredited, three-level Cloud Computing curriculum equips students with practical skills on real cloud infrastructure. Students deploy applications, configure servers and build simple cloud-based systems while learning key service models such as computing power management and software deployment. Cloud computing is one of the three key elements of AI ( data, algorithms and computing power), and this course gives students hands-on understanding of the infrastructure AI systems run on. It fills a critical gap in the current school curriculum and supports students pursuing future ICT careers.
Learn More
Data Analytics
SEED's hands-on Data Analytics programme guides students through the full data cycle — from collecting and analysing data to visualising patterns and presenting insights. Students work with professional-grade tools to solve real-world problems and support evidence-based decisions. Students also discover how data patterns allow AI models to learn and predict, how bias enters an AI model, why AI output must be fact-checked, and how to judge whether a pattern is real. Designed for students interested in business, science or technology, it builds transferable skills valued across industries.
Learn More
UX/UI
SEED's hands-on UX/UI programme introduces students to the foundations of user interface design and user experience thinking, from user research and wireframing to prototyping and testing. Through practical projects, students learn to design digital products that are both visually engaging and user-friendly. Students research, sketch and draft first; AI is then used to review their work, verifying sources, testing interview questions, flagging stereotypes and biases or challenging a problem statement. AI suggests: students decide what to accept or reject, and must explain why. This discipline of judging AI output is the "reflection on using AI" the AI Literacy Learning Framework sets out. Designed for students interested in visual arts, design and ICT.
Learn More
Integrated Digital Learning
Real-World Application
Apply Skills Through Real-World Experience
We go beyond textbooks. Secondary school students take part in project-based learning, company visits and workplace experience — developing practical skills, problem-solving ability and confidence. Capstone projects ask students to build solutions that serve real community needs — the "Technology for good" principle at the heart of the AI Literacy Learning Framework.
Competitions
Field Trips and Company Visits
Workplace Experience Program (WXP)
Competitions
Field Trips and Company Visits
Workplace Experience Program (WXP)
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Knowledge
Building AI and Digital Skills for Success in the Future Workplace
Our structured curriculum builds essential skills in data analytics, cloud computing and UX/UI design. By combining core knowledge with real-world application, it gives students practical experience in the areas that power the digital economy and underpin AI. AI runs on data and computing power, and UX/UI design is where human-AI interaction takes shape. Students apply AI directly in every course: building and running applications on cloud platforms, working with AI-assisted analysis tools, and using AI throughout the design process.
Certificate of Completion
Interactive, Practice-Based Learning
Structured Progression Tailored for Students
Certificate of Completion
Interactive, Practice-Based Learning
Structured Progression Tailored for Students
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Gallery
Students building AI literacy, digital skills and confidence — in the classroom and beyond.
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