New edition 2026 · Applied masteryVersion 1.0.0Standard 1.0

AI at Work: From Prompt to Reliable Output

Scope an AI-assisted task, verify its output and design a workflow with clear human review and privacy boundaries.

Level: Practical Foundation
Modules: 3
Lessons: 3
Study time: 45m

Practical transformation

What you will be able to do

Define an AI-assisted task with inputs, constraints and acceptance criteria.
Check claims, calculations and source references before using AI-generated work.
Create a repeatable workflow with approved inputs, human review and limited automation.

Designed for

People preparing for international life, study or work.

Completion standard

Complete the three applied lessons.
Pass all three formative checkpoints.
Create and self-review the practical outputs.

TGPI Learning OS

A repeatable system for applied mastery.

Learn through a realistic situation, create a practical output and check your reasoning.

Quality gates active

2/3

01
Orient
Understand the scenario and its constraints.
02
Learn
Study the worked explanation and decision rules.
03
Rehearse
Build an output for your own situation.
04
Check
Pass the formative checkpoint and review feedback.
05
Reflect
Record what to verify and do next.

Catalog ready

Active

Clear outcomes, named competencies and complete module mapping.

Learning ready

Active

Five-phase learning model, complete assessment blueprint and weighted rubric.

Credential ready

In build

All evidence gates are live and the verifiable credential service is active.

Capability map

Build capabilities you can put to work.

Every module builds one observable capability. Create the practical output and review your reasoning before moving to the next step.

01foundation

Specify the task before the prompt

Define an AI-assisted task with inputs, constraints and acceptance criteria.

Can-do statement

Define an AI-assisted task with inputs, constraints and acceptance criteria.

02foundation

Verify the output

Check claims, calculations and source references before using AI-generated work.

Can-do statement

Check claims, calculations and source references before using AI-generated work.

03foundation

Build a privacy-aware workflow

Create a repeatable workflow with approved inputs, human review and limited automation.

Can-do statement

Create a repeatable workflow with approved inputs, human review and limited automation.

Assessment architecture

Practice before commitment.

Mastery threshold

80%

Applied checkpoints

Live now

Three formative decisions with feedback. Practical outputs are self-reviewed, not graded.

3×

100% weight

Review the feedback and retry the formative checkpoint. This short course does not issue a professional certificate.

Full curriculum

3 modules. One practical outcome at a time.

Each lesson combines a realistic scenario, a worked example, a practical output and a formative checkpoint.

Module 01

Specify the task before the prompt

Define an AI-assisted task with inputs, constraints and acceptance criteria.

Capability · Specify the task before the prompt

0/1 completed

Specify the task before the promptDefine an AI-assisted task with inputs, constraints and acceptance criteria.15 min

Module outcome: Write a task brief with audience, inputs, constraints, requested output and five acceptance checks.

Module 02

Verify the output

Check claims, calculations and source references before using AI-generated work.

Capability · Verify the output

0/1 completed

Verify the outputCheck claims, calculations and source references before using AI-generated work.15 min

Module outcome: Audit an AI-generated draft with a table of claims, independent checks, corrections and remaining uncertainty.

Module 03

Build a privacy-aware workflow

Create a repeatable workflow with approved inputs, human review and limited automation.

Capability · Build a privacy-aware workflow

0/1 completed

Build a privacy-aware workflowCreate a repeatable workflow with approved inputs, human review and limited automation.15 min

Module outcome: Draw a five-step AI workflow identifying approved inputs, privacy checks, verification, reviewer and the boundary before external action.

All learning paths

New edition 2026 · Applied masteryVersion 1.0.0Standard 1.0

AI at Work: From Prompt to Reliable Output

Scope an AI-assisted task, verify its output and design a workflow with clear human review and privacy boundaries.

Level: Practical Foundation
Modules: 3
Lessons: 3
Study time: 45m

Practical transformation

What you will be able to do

Define an AI-assisted task with inputs, constraints and acceptance criteria.
Check claims, calculations and source references before using AI-generated work.
Create a repeatable workflow with approved inputs, human review and limited automation.

Designed for

People preparing for international life, study or work.

Completion standard

Complete the three applied lessons.
Pass all three formative checkpoints.
Create and self-review the practical outputs.

TGPI Learning OS

A repeatable system for applied mastery.

Learn through a realistic situation, create a practical output and check your reasoning.

Quality gates active

2/3

01
Orient
Understand the scenario and its constraints.
02
Learn
Study the worked explanation and decision rules.
03
Rehearse
Build an output for your own situation.
04
Check
Pass the formative checkpoint and review feedback.
05
Reflect
Record what to verify and do next.

Catalog ready

Active

Clear outcomes, named competencies and complete module mapping.

Learning ready

Active

Five-phase learning model, complete assessment blueprint and weighted rubric.

Credential ready

In build

All evidence gates are live and the verifiable credential service is active.

Capability map

Build capabilities you can put to work.

Every module builds one observable capability. Create the practical output and review your reasoning before moving to the next step.

01foundation

Specify the task before the prompt

Define an AI-assisted task with inputs, constraints and acceptance criteria.

Can-do statement

Define an AI-assisted task with inputs, constraints and acceptance criteria.

02foundation

Verify the output

Check claims, calculations and source references before using AI-generated work.

Can-do statement

Check claims, calculations and source references before using AI-generated work.

03foundation

Build a privacy-aware workflow

Create a repeatable workflow with approved inputs, human review and limited automation.

Can-do statement

Create a repeatable workflow with approved inputs, human review and limited automation.

Assessment architecture

Practice before commitment.

Mastery threshold

80%

Applied checkpoints

Live now

Three formative decisions with feedback. Practical outputs are self-reviewed, not graded.

3×

100% weight

Review the feedback and retry the formative checkpoint. This short course does not issue a professional certificate.

Full curriculum

3 modules. One practical outcome at a time.

Each lesson combines a realistic scenario, a worked example, a practical output and a formative checkpoint.

Module 01

Specify the task before the prompt

Define an AI-assisted task with inputs, constraints and acceptance criteria.

Capability · Specify the task before the prompt

0/1 completed

Specify the task before the promptDefine an AI-assisted task with inputs, constraints and acceptance criteria.15 min

Module outcome: Write a task brief with audience, inputs, constraints, requested output and five acceptance checks.

Module 02

Verify the output

Check claims, calculations and source references before using AI-generated work.

Capability · Verify the output

0/1 completed

Verify the outputCheck claims, calculations and source references before using AI-generated work.15 min

Module outcome: Audit an AI-generated draft with a table of claims, independent checks, corrections and remaining uncertainty.

Module 03

Build a privacy-aware workflow

Create a repeatable workflow with approved inputs, human review and limited automation.

Capability · Build a privacy-aware workflow

0/1 completed

Build a privacy-aware workflowCreate a repeatable workflow with approved inputs, human review and limited automation.15 min

Module outcome: Draw a five-step AI workflow identifying approved inputs, privacy checks, verification, reviewer and the boundary before external action.

AI at Work: From Prompt to Reliable Output

What you will be able to do

Completion standard

A repeatable system for applied mastery.

Orient

Learn

Rehearse

Check

Reflect

Build capabilities you can put to work.

Specify the task before the prompt

Verify the output

Build a privacy-aware workflow

Practice before commitment.

Applied checkpoints

3 modules. One practical outcome at a time.

Specify the task before the prompt

Verify the output

Build a privacy-aware workflow

AI at Work: From Prompt to Reliable Output

What you will be able to do

Completion standard

A repeatable system for applied mastery.

Orient

Learn

Rehearse

Check

Reflect

Build capabilities you can put to work.

Specify the task before the prompt

Verify the output

Build a privacy-aware workflow

Practice before commitment.

Applied checkpoints

3 modules. One practical outcome at a time.

Specify the task before the prompt

Verify the output

Build a privacy-aware workflow