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Data and Models

Write prompts that get the answer first time, at the smallest footprint that does the job.

Eight modules on the Prompt Footprint and the Five Levers: specification, structure, reasoning depth, model selection and orchestration. They apply to the prompts you write yourself and to the agents that run without you.
8h 30m
of learning
8
modules
50 question
final assessment
85%
to pass
Certification
upon completion

Green AI Prompting for Self & Agents

What
How
Tools
Who

How the course works

Five levers, applied in order

Specification, structure, reasoning depth, model selection and orchestration, each with the question to ask and the evidence to check.

For your own prompts and for agents

The same levers applied to what you write and to what runs autonomously, which behave differently at scale.

Grounded in SCI for AI

Footprint figures follow the ratified specification, with method and boundary stated.

What this course helps with

Understand what a prompt actually costs

A prompt is authored once and runs on every request. The first module accounts for that across cost, carbon, energy, water and embodied hardware.

Get the answer first time

Vague requests are corrected, and every correction resends the whole conversation for a fresh answer. Specification is the lever that removes most of that work.

Keep agents inside a budget

Autonomous work multiplies calls and carried context. Budgets and stop conditions put a bound on the worst case.

Who this is for

  • Developers and software engineers working with AI features

  • Prompt engineers and AI product managers

  • ML engineers and architects designing AI features

  • Anyone whose prompts run at production volume


  • Recommended first: LFC131 Green Software for Practitioners (not required)

Related courses:

For the training side of models rather than their use, see Green AI for ML Practitioners; for putting this guidance into coding tools, see Building a Green AI Agent.

What you will work with

The Prompt Footprint

Five dimensions of a single prompt, and what changes when it runs a million times.

The five levers

Each with its GSF framework, a backwards audit for prompts already running, and the quality bar it must hold.

Procurement and disclosure

What to ask an AI supplier, and how to report your own figures without overstating them.

What you will be able to do

  • Account for a prompt's footprint across cost, carbon, energy, water and hardware, per call and at scale
  • Apply the Intent Framework so a task succeeds the first time
  • Control output length, and match reasoning depth to how hard the task is
  • Route work to the smallest model that meets a written quality bar
  • Set limits on agent work with the four Orchestration Guardrails
  • Measure and report a prompt's footprint as a Software Carbon Intensity for AI (SCI for AI) score, with its method and boundary

Course Lessons

The full course

Every module ends with an application exercise and a worked solution.

01

Why Water, and Why You

Software feels dry, but the buildings it runs in use water for cooling, the electricity it consumes was made using water, and the hardware was manufactured with it. This module shows those three connections and closes the gap between the people who can see the water and the people who change the software.
module-01

02

The Four Layers: building, electricity, hardware, and the stress conversion

This module gives the three ways software uses water their proper names, as the draft SWI specification uses them, and adds a fourth layer that converts litres into how much each litre matters. It ends with the only line of arithmetic in the course.
module-02

03

Consumption and Withdrawal: used up vs borrowed

Water figures come in two kinds, and confusing them is the most common mistake in reading them. This module teaches the distinction between water used up and water borrowed and returned, and the rule that the two are never added together.
module-03

04

Reading a Water Number

This module teaches no calculations. It teaches how to look at any water figure, whether a provider report, a news headline or a colleague’s slide, and know what it does and does not say.
module-04

05

Stress-Adjusted Water: a liter is not a liter

The same liter counts for more where water is scarce and for less where it is plentiful. This module turns that idea into arithmetic using a published factor per place, giving the conversion layer its full treatment at foundation depth.
module-05

06

Small Things That Save Water

The earlier modules built a vocabulary; this one turns it into actions small enough to take this week, organised by role. None of them needs a water meter, a budget or permission to run a project.
module-06

07

Final Assessment

A final assessment of 12 questions - 80% to pass, 30 minutes, retake available.
Final Assessment

Assessment & Certification

How you are assessed

  • A short knowledge check after every module, drawn at random from that module’s pool
  • A final assessment of 50 scenario-judgement questions from a pool of 80
  • 85% to pass, 120 minutes, retake available
  • Questions test judgement in situations you will meet — not recall of figures that date

What you earn

GSF Certification
Green AI Prompting
  • Issued on passing the final assessment
  • Valid for 2 years, refreshed by a short update module
  • Shareable credential for your profile, CV and tender responses

Time to complete

Reading and exercises
8h 30m across 8 modules
Knowledge checks
About 5 minutes per module
Final assessment
120 minutes
Typical completion
About 11h including knowledge checks and the final, at a module per session

Join the Pilot

The GSF Academy is currently in pilot. If your organization would like to enrol learners and issue GSF certifications to your teams, tell us a little about what you need and we'll follow up to discuss access, pricing, and enrolment.

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Which courses are most relevant to you?

Select all

Building a Green AI Agent

Designing Green Agentic Systems

Green AI Prompting for Self & Agents

Green AI for Executives

Green AI for ML Practitioners

Green AI for Policy Makers

Green Data Practitioner

Green IT for Leaders

Green Software Developer

Green and Efficient Architect

GreenOps Practitioner

SCI for AI Practitioner: The Measurement Lab

Scaling Green AI and Software

Software Water Essentials