About Course
About Course
A structured learning journey tailored to the learner’s age, confidence, and developmental stage. Deepen AI understanding and apply it through research, stream-relevant projects, AI tools and a capstone.
| Grade band | Grades 8, 9 & 10 |
| Duration | 32 hours of live learning |
| Structure | 4 modules – 8 sessions – 4 hours (240 minutes) each |
| Delivery | Instructor-led, live online and hands-on, with supervised digital activities, breakout discussions, collaborative work and project-based learning. |
| Who It Is For | A student’s first structured look at AI. The emphasis is on curiosity, safe exploration, useful school applications and confidence — with no coding required. |
| Entry Guidance | No coding or advanced mathematics is required. A laptop or tablet, basic internet skills and a willingness to ask questions are enough. |
| Student Outcomes | A personal Prompt Journal, three finished AI-assisted school/creative projects, a completed AI Ground Rules card and a short portfolio presentation. |
| Certification | Certificate — AI Ready |
Common learning foundation
Depth increases as students progress, but the programme consistently reinforces six connected areas:
| AI Foundations What AI is, how it works at a conceptual level, and where it can go wrong. | Learning with AI Using AI as a study partner that supports thinking rather than replacing it. |
| Studying with AI Exam preparation, note-making, explanation and structured revision support. | Creating with AI Images, stories, audio, video and projects that remain human-led and properly acknowledged. |
| Agents & Automation Simple AI tools and mini workflows that extend what a student can do. | Ethics, Safety & Responsibility Bias, privacy, misinformation, originality and digital wellbeing built into the learning journey. |
What makes the programme distinctive
Industry-informed learning — Students experience professional habits such as problem framing, research, tool selection, peer feedback, quality checks and presentation — adapted for a school environment. Real outputs — Every module produces something students can keep, improve and share. Verification-first mindset — Students learn to question, test and verify AI output rather than simply accept it. Human-led learning — AI is treated as a support tool; students remain responsible for their ideas, decisions, originality and learning.
How the Programme Is Delivered
Live, online and hands-on — with a deliberate balance between guided instruction, independent practice and collaboration.
| Learning format | 32 hours of live, online, hands-on learning per course. |
| Session structure | 8 sessions • 4 hours (240 minutes) each • 4 modules per course. |
| Learning methods | Live demonstrations, guided tool practice, virtual activities, breakout discussions, collaborative workspaces, project building and online showcases. |
| Possible scheduling formats | Eight full-day sessions across two weeks; sixteen half-day sessions across a term; eight-weekend delivery; or evening/vacation-intensive formats for tighter school timetables. |
| Facilitation approach | Instructor-led and mentor-supported, with supervision appropriate to the age group and the tools being used. |
A Consistent Learning Rhythm
Explore – Start with a relatable question, example or challenge.
Try – Students use the concept or tool in a guided activity.
Question – Students compare outputs, identify limitations and discuss choices.
Build – Students create a tangible piece of work.
Reflect & Share – Students explain what they learned, what they changed and how they used AI responsibly.
Course — AI Pro Track (Grades 11–12)
Understand how AI works, question its outputs like a critical thinker, and apply those skills to higher education, entrance and early-career readiness.
| Grade band | Grades 11 & 12 • all streams |
| Duration | 32 hours of live learning |
| Structure | 4 modules • 8 sessions • 4 hours (240 minutes) each |
| Delivery | Instructor-led, live online and hands-on, with supervised digital activities, breakout discussions, collaborative work and project-based learning. |
| Who It Is For | For students approaching board exams, entrance tests, higher education and early career choices who want deeper AI understanding and evidence of applied skills. |
| Entry Guidance | No programming or statistics background is assumed. Basic comfort with an AI chat tool is enough; students may also enter with equivalent independent experience. |
| Student Outcomes | A stream-relevant applied AI project, a career pathway document, an application-ready portfolio and practice describing AI skills in interviews and applications. |
| Certification | Certificate — AI Pro Track |
Course Completion & Certification
|
Course |
Grade Band |
Certificate |
|
AI Pro Track |
Grades 11–12 |
AI Pro Track Certificate |
What Students Complete
- Stream-relevant applied AI project.
- Career pathway document connecting AI skills to future study and career options.
- Application-ready portfolio of selected course work.
- Practice explaining AI skills and project experience for interviews and applications.
What Students can Demonstrate
- Explain at a conceptual level how AI learns from data and where it can fail.
- Conduct AI-assisted research with independent verification and citations.
- Apply AI to a stream-relevant project and evaluate its quality.
- Build a guided AI integration and present a capstone portfolio.
What the Certificate Represents
- Portfolio-backed — Evidence comes from work completed during the course.
- Showcase-based — Students demonstrate their learning through a presentation.
- Skills-focused — Evidence covers responsible AI use, research, creation, verification, project work and communication.
Course Content
Module 1 — Understanding How AI Works
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SESSION I – From Data to Decisions
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SESSION 2 – Stress – Testing Generative AI
Module 2 — Advanced Prompting & Reliable Research
Module 3 — Applied AI Project
Module 4 — AI Applications, APIs & Capstone
Student Ratings & Reviews
