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FORMATIVELABZ INC

Grades 9-12

AI Future Scholar

For parents and guardians · Grades 9-12 · Registration is open · CAD 299 online (self-paced) / CAD 399 hybrid. Start date confirmed directly.

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The CPD Group Approved Provider #786002

Formativelabz Inc (earlier known as Formativelabz Learning & Research Academy). Explore our provider reference and ask about your chosen course.

Check the provider reference on the CPD Register

About the program

AI Future Scholar is a six-module, 24-session course in which Grade 9-12 students train a model, break it, audit it, protect the people in its data, and then build their own. Every module runs the same four moves: Think, Test, Transform, Create.

Help your teenager learn to test AI, protect their privacy and explain their own work. Parents and guardians handle registration and course arrangements. Do not submit a child's identifying information through the enquiry form.

Your learning journey

  1. 01The Machine That Guesses
  2. 02Talking Machines
  3. 03The AI Auditors
  4. 04Your Data, Your Rules
  5. 05Design for Good
  6. 06Build Lab and Demo Day

Who is this program designed for?

  • Grade 9 students
  • Grade 10 students
  • Grade 11 students
  • Grade 12 students

What you will build

  • A model they trained
  • A signed audit report and privacy label
  • A personal AI charter and Scholar Passport

Putting the learning to work

Train a classifier using objects and hand signs, never faces.

Practice areas

  • Model training
  • Prompt testing
  • Fairness audits
  • Privacy labels
  • Project design
  • Model cards

Why choose this program

01

A clear learning path

Six practical modules.

02

Work you can review

A model they trained

03

A practical focus

Train a classifier using objects and hand signs, never faces.

04

Learning with context

Grades 9-12 students

05

Evidence of learning

There are no written tests in the framework. Students earn one Scholar Passport stamp per module by making evidence of their learning. The final project is judged on its model, testing, privacy and explanation. Practice uses objects and hand signs, never faces.

06

A final piece of work

Create a working model, a model card and a live demonstration. Each team checks the data plan and privacy responsibilities before showing its work.

Completion and evidence of learning

There are no written tests in the framework. Students earn one Scholar Passport stamp per module by making evidence of their learning. The final project is judged on its model, testing, privacy and explanation. Practice uses objects and hand signs, never faces.

  • A model they trained
  • A signed audit report and privacy label
  • A personal AI charter and Scholar Passport

Learning path

Module01

The Machine That Guesses

Train a classifier using objects and hand signs, never faces.

Project: A classifier trained on student examples.

Module02

Talking Machines

Test when a confident chatbot is wrong and set boundaries for a study buddy.

Project: A Prompt Playbook and guarded study buddy.

Module03

The AI Auditors

Check accuracy across groups and document the gaps.

Project: A signed audit report.

Module04

Your Data, Your Rules

Read what apps know and explain data rights through a privacy label.

Project: A privacy label and personal AI charter.

Module05

Design for Good

Plan a useful project with a data plan and privacy check.

Project: A project blueprint and data plan.

Module06

Build Lab and Demo Day

Build, test and explain a model with its limits and a model card.

Project: A working model, model card and live demo.

Preparation and entry requirements

No coding needed to start

One laptop with a webcam per pair in the course framework

Where the learning fits

01

Grade 9 students

02

Grade 10 students

03

Grade 11 students

04

Grade 12 students

Build practical skills and a body of work you can explain and apply.

Projects and use cases

01

Capstone project

Build Lab and Demo Day

Create a working model, a model card and a live demonstration. Each team checks the data plan and privacy responsibilities before showing its work.

01

The Machine That Guesses

A classifier trained on student examples.

02

Talking Machines

A Prompt Playbook and guarded study buddy.

03

The AI Auditors

A signed audit report.

04

Your Data, Your Rules

A privacy label and personal AI charter.

05

Design for Good

A project blueprint and data plan.

06

Build Lab and Demo Day

A working model, model card and live demo.

Your questions, answered

Who is this course for?

For students in Grades 9-12, with parents or guardians handling registration and course arrangements.

How much does it cost?

CAD 299 online (self-paced) / CAD 399 hybrid. Our team confirms payment arrangements directly. Fees may vary for international students outside Canada.

How long is the course?

The current outline lists six modules and 24 sixty-minute sessions. Final schedule and access arrangements will be confirmed before enrollment.

What will I work on?

Build and test a model, audit its limits and make a project you can explain.

Can I register now?

Yes. Registration is open. Register now and we confirm your place, fee, start date and access directly.

What happens after I register?

Register now, then confirm your course format, start date and access with Formativelabz. Review final delivery details, total cost and terms before enrollment. Enrollment and access are confirmed separately.

Enrollment and program information

Registration is open

We reply within 1 business day with your start date and payment details.

Self-paced: start within 24 hours of payment. Hybrid: next cohort confirmed on registration.

Registration is open. Choose Register now; we confirm your place, fee, start date and access directly. Your registration is reviewed by our team before payment.

Register now

Program fees

CAD 299 online (self-paced) / CAD 399 hybrid.

Fees may vary for international students outside Canada.

Intended participants

  • Grade 9 students
  • Grade 10 students
  • Grade 11 students
  • Grade 12 students

For more details

Formativelabz Inc

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