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Put green engineering guidance inside the agentic coding tools your teams already use.
Ten modules on building green agent skills: where they belong across the engineering lifecycle, how to design and build one to the standard, designing the agent itself for a low footprint, distributing a single source across tools, governing them, and evaluating whether they change what the tools produce.
7h 40m
10
30 questions
80%
Certification
Building a Green AI Agent
How the course works
Built to the agent skills standard
Skills built to a standard and governed as such, rather than a prompt library.
Review as the high-leverage point
One integration there influences every change that passes through it, which makes it a strong first choice for many teams.
Worked examples and a capstone
Build and install, evaluate and measure, then design and evaluate your own.
What this course helps with
Guidance at the moment of decision
Green engineering guidance that arrives while the code is being written is followed more often than a standard that sits in a wiki.
One maintained source
Editor, review tool and pipeline carrying the same version, rather than drifting copies.
Evidence that a skill works
A way to check whether the code the tools produce is measurably less wasteful, rather than assuming the skill is effective.
Who this is for
- Architects and developers using agentic tools day to day
- Platform and developer-experience engineers who distribute tooling
- Engineering leads standardizing practice across teams
Related courses:
For model training decisions rather than the coding loop, see Green AI for ML Practitioners.
What you will work with
The lifecycle map
Where a skill earns its place across seven points, from design and architecture through testing, review and delivery to the operations handoff.
One source, many tools
Distributing the same guidance without forking it into divergent copies.
The evaluation
How to establish whether the skill changed the output.
What you will be able to do
Course Lessons
The full course
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
Time to complete