Conclusion
Congratulations on completing this unit
You connected environmental impact,sustainable data practices,lifecycle integration,advocacy andaction planning so ML programmes can align with ESG and engineering reality.

What's in it for you?
You can credibly discuss carbon, cost and quality trade-offs, propose measurable efficiency programmes and partner with risk and sustainability teams—skills that matter as AI budgets and scrutiny both grow.
Call to action
Pick one production model this month: document its data dependencies, baseline energy or cost metrics and define a single optimisation experiment with a clear success criterion.
Reflection
- How will you integrate sustainability metrics into AI projects you influence?
- What is one concrete step to reduce training or inference footprint?
- How will you advocate for sustainability in the next planning cycle?