Cohort-Based

AI at Work — Education & Training
ROLE-SPECIFIC TRACK

Intensity Level

APPLIED · ROLE TRACK

Operational Duration

6 WEEKS

Course Code: R2-EDAT

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Enrolment

Dates announced soon

Register your interest and we'll tell you when the next cohort opens.

Register interest

MODULE TRACKS

Deep-Dive Specializations

01 // SPECIALIZATION ARRAYS

PROGRESSION PATHWAY

Badge Achievement Hierarchy

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Learner

Lvl 01

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Practitioner

Current Tier

verified

Educator

Lvl 03

WEEKLY PLAN

Timeline // 6 weeks · 2-wk shared core + 4 weekly labs + capstone

Wk 1-2

Prerequisite

Shared Core (R1-W)

AI foundations, prompt engineering, and safety. Complete before this role track begins.

Online + Lab

Wk 3

Module 1

Planning & Materials

Lesson plans, differentiation, worksheets, and accuracy checks. 80 min + lab work.

Online + Lab

Wk 4

Module 2

Assessment & Communication

Feedback, rubrics, quiz generation, parent updates, and integrity rules. 80 min + lab work.

Online + Lab

Wk 5

Module 3a

Teaching Assistant (No-Code)

Choose a recurring task, build a grounded helper, test it, and document handover. 85 min + lab work.

Online + Lab

Wk 6

Capstone

Role Transformation Project

Assemble your redesigned workflow, measure time saved, verify quality, and present to a head of department.

Lab + Presentation

TECHNICAL DELIVERABLES

System deployments you will depart with, fully optimized for production environments.

Forge Guarantee

You will redesign one core teaching workflow, measure the time saved, and present a production-ready AI assist to your head of department with all safeguards in place.

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Role Transformation Project

A redesigned teaching workflow with AI, baseline-to-after measurement, integrity safeguards documented, and a 5-slide pitch to your head of department.

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Teaching Toolkit

Curated prompts, grounding templates, accuracy checklists, and a no-code teaching assistant for a recurring task, ready to share with colleagues.

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Integrity & Privacy Playbook

Your class AI-use rules, assessment design for honest use, data-privacy rules, and bias-watch protocols, all shareable with students and leadership.