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Green AI

Measure a real AI workload end to end, and record every number so it can be checked.

A hands-on measurement lab covering SCI and SCI for AI, four measurement approaches: research estimates, provider data, your own or third-party estimation models, and direct measurement, plus intensity, embodied impact, boundaries and reporting.
11h 10m
of learning
14
modules
30 question
final assessment
80%
to pass
Certification
on completion

SCI for AI Practitioner: The Measurement Lab

What
How
Tools
Who

How the course works

A lab, not a lecture

You measure a real workload end to end, then compare the approaches against each other.

Evidence recorded as you go

Method, level, boundary and date on every number, which is what makes a figure defensible later.

Built on the ratified specification

SCI (ISO/IEC 21031) and SCI for AI, cited precisely, with pathway status stated.

What this course helps with

Answer the second question

"What does it include?" is where most footprint figures come apart. The boundary discipline is the core of the course.

Interpret provider data

What a vendor figure covers, what it omits, and how to use it without overstating what it says.

Explain why tools disagree

Four approaches, different results, and a way to reconcile and explain the gap. The energy and carbon figure you publish is the one that holds when a reduction is claimed against it.

Who this is for

  • Engineers, architects and sustainability practitioners producing AI footprint figures

  • Practitioners preparing figures for disclosure

  • Anyone answering customer, audit or regulatory questions about AI impact

Related courses:

To govern measurements rather than produce them, Green AI for Executives covers the leadership view.

What you will work with

One score, four inputs

The SCI structure applied to AI, with the functional unit treated as the decision it is.

The reconciliation

Why four approaches disagree, and how to explain the difference.

Boundaries and the register

What is in, what is out, and where it is recorded for the next person.

What you will be able to do

  • Calculate a Software Carbon Intensity (SCI) score by hand, with its boundary and functional unit stated
  • Choose the measurement approach that fits the data and access you have
  • Judge what a provider's or vendor's figure does and does not cover
  • Build your own energy model, or measure directly on hardware you own
  • Report the rate and the total together, and explain the gap between figures from two approaches
  • Apply reduction levers one at a time, and attribute each change to the part of the score it moved

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 30 scenario-judgement questions from a pool of 210
  • 80% to pass, 60 minutes, retake available
  • Questions test judgement in situations you will meet — not recall of figures that date

What you earn

GSF Certification
SCI for AI Practitioner
  • 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
11h 10m across 14 modules
Knowledge checks
About 10 minutes per module
Final assessment
60 minutes
Typical completion
2–3 weeks at a module per session, entirely self-paced

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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