Use AI with judgement
Learners practise prompting, checking and improving outputs instead of accepting them blindly.
AI & Future Skills
Generative AI & Automation
Move beyond using AI tools to designing AI-powered workflows, automations and practical applications.
Grades9–12LevelIntermediate to AdvancedLearningProject-led
This Generative AI & Automation course is designed for grades 9–12 and can be adapted to the learner's age, starting level and pace.
Generative AIPythonAutomation
Why this program matters
Benefits that go beyond learning a tool.
The program is designed to help learners think, create and solve problems more independently - with projects that make progress visible.
Create with modern tools
Projects turn AI from a novelty into a practical tool for research, communication and creation.
Verification habits
Students learn to question sources, check claims and explain the choices they made.
Future-ready confidence
The focus stays on thinking and decision-making, with AI supporting rather than replacing the learner.
Who is this program for?
Grade helps us shortlist a course, but confidence, experience and interests matter too.
Older students who already use AI tools and need deeper capabilityPython / data learners interested in automationStudents ready to think critically about AI-assisted workflows
By the end01 02 03 04
What should the learner actually be able to do?
Design multi-step AI-assisted workflows
Verify and improve model output
Automate selected repetitive tasks responsibly
Explain where human review, privacy and judgement remain essential
Curriculum journey
A structured path from foundations to an independent build.
The exact pace can change with the learner, while the progression keeps concepts connected to practical outcomes rather than isolated lessons.
01Learning block
Foundations
Connect multiple AI steps into repeatable workflowsEvaluate outputs and design responsible automation
02Learning block
Core Skills
How modern AI tools work at an age-appropriate levelPrompting, verification and responsible AI use
03Learning block
Applied Projects
Apply concepts to a complete working outcomeTest, improve and explain decisions
04Learning block
Independent Build
Plan a final projectBuild, debug, refine and present
What they'll build
Projects that turn concepts into visible outcomes.
Project examples can vary with level, but every learner should repeatedly plan, build, test and improve something that actually works.
01
Research workflow
02
Content pipeline
03
AI automation
04
AI-assisted research
05
Creative AI project
06
Prompting challenge
How learning works
Learn, build, test, debug, explain.
The mentor supports the thinking process without turning the class into a copy-along exercise. Learners are encouraged to make decisions, ask questions and improve their own work.
01Understand the idea02Build a working version03Test what happens04Debug and improve05Explain the result
Build Showcase milestone
Progress should be explainable - not just runnable.
Demonstrate an AI-assisted workflow and explain the prompt strategy, validation steps, automation logic and human checkpoints.
01What did I build?02How does it work?03What went wrong?04What did I change?05What would I improve next?
What comes next?
Explore all learning pathways A clear next step after this program.
Python Programming, APIs, agentic workflows, data science or domain-specific AI projects.
Questions about fit?
Is Generative AI & Automation the right starting point?
Tell us the learner's grade, current experience and interests. We'll recommend this program - or a better starting point if there is one.