Write your awesome label here.
Start a green software and green AI program, and grow it beyond the first team.
An adoption journey in seven steps: map the footprint, build awareness and choose a first portfolio, set a baseline, apply patterns, embed checks in delivery, run reduction campaigns, and keep it going with a dashboard and a governance rhythm.
5h 15m
7
30 question
80%
Certification
Scaling Green AI and Software
How the course works
One organization throughout
Northbridge appears in every module, with the same estate and the same numbers, so the steps connect into a single journey.
Patterns from a curated catalog
Each reduction has a precondition, a trade-off and a verification step, and is applied through a select–apply–verify loop.
A workbook you fill in
Seven steps that assemble into an adoption plan for your own organisation, each with a worked solution to check against.
What this course helps with
Awareness that holds
Understand the four dimensions (carbon, energy, water and waste) and where they're created across the estate, so the conversation starts from facts.
A first step that is small enough to take
A portfolio of a few workloads chosen on materiality, tractability and evidence, rather than a programme that tries to cover everything.
Work that continues after the launch
A cadence, an owner and a dashboard, so the program does not depend on one person’s attention — with reduction campaigns that cut consumption, and usually the bill for it, in the same pass.
Who this is for
- Anyone starting or scaling a green program, in any role
- Product, design, engineering, ML and data, platform and infrastructure teams
- Procurement and governance colleagues joining the effort
- No sustainability background required; Modules 3–6 assume familiarity with delivery tooling
Related courses:
Already measuring confidently and want depth on one layer? The practitioner courses go further on measurement, architecture and operations.
What you will work with
The portfolio test
Three questions (material, tractable, evidenced) for choosing the first workloads, and what to say to teams not in the first cohort.
A completed baseline row
Unit of work, rate and total, boundary, data tier and date, filled in for one service.
The campaign design
Scope, baseline, quality bar and the go/no-go stated before the work begins.
What you will be able to do
Course Lessons
The full course
01
The Prompt Footprint
Introduces the five-dimensional view: cost, carbon, energy, water, embodied hardware. Establishes SCI for AI as the standards anchor. Positions the regulatory landscape (CSRD, EU AI Act, procurement disclosure) as the why now for Footprint literacy.
Before You Begin
Modules
02
The Specification Lever
How prompt intent quality drives Footprint. The GSF Intent Framework introduced. Trade-offs: over-specification wastes tokens, under-specification wastes retries. Worked examples across capability tiers.
Modules
03
The Structure Lever
Prompt organization: system messages, few-shot examples, output constraints, formatting instructions. Where structure earns its tokens and where it doesn't.
Modules
04
The Reasoning Depth Lever
When to invoke chain-of-thought, tree-of-thought, extended reasoning modes; when not to. The GSF Reasoning Budget: task-class taxonomy for reasoning depth decisions.
Modules
05
The Model Selection Lever
The most consequential single decision in inference efficiency. Capability tiers and routing decisions. The GSF Model Fit Test protocol. Same task across tiers, measured.
Halfway Check-in
Modules
06
The Orchestration Lever
Where agents leak resource: tool selection, chain depth, redundant retrieval, missing caching. Token budgets as a first-class design constraint. Case study from the supply-chain agent paper (70–90% workflow-level savings).
Modules
07
Measuring the Prompt Footprint
Hands-on demonstrations with EcoLogits, CodeCarbon, AI Energy Score. Producing numbers a CSRD auditor can read. The measurement chain from token count to gCO₂eq.
Modules
08
Procurement & Disclosure
What to ask your LLM vendor. What CSRD and the EU AI Act will require. The GSF Procurement question bank organized by Footprint dimension.
Modules
09
Course Completion
50 questions, 120 minutes. Pass Marks: 85%
Final Assessment
Share Your Feedback
Assessment & Certification
Time to complete