ENhanced learning
Master GreenOps for AI
Learn how to impact your organisation's AI consumption to reduce energy, carbon, water, and cost.
What will this course give me?
Be the catalyst for AI GreenOps in your organisation by learning how to make AI usage visible, ask the right questions, and introduce more efficient, lower-impact ways of working.
Understand AI impact
Learn where AI emissions actually come from, why inference matters, and how everyday usage drives impact in the cloud
The GreenOps approach to AI
Understand how traditional GreenOps thinking applies to AI and where it needs to adapt for new workloads and stakeholders
Measure what matters
Learn what to measure and how to make AI usage visible alongside cost and cloud spend
Ask the right questions
Build confidence in challenging how AI is used across teams, using simple questions to identify inefficiencies and opportunities
Key optimisation levers
Understand practical techniques like caching, batching, model selection, and token optimisation... and when to use them
Drive action across teams
Learn how to engage AI teams, engineers, and stakeholders to start embedding GreenOps thinking into AI workflows
Cloud GreenOps for AI
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Author: James Hall
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Level: Intermediate
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Study time: 1 hour
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Course overview
The AI GreenOps course is a practical guide to understanding and managing the impact of AI in the cloud. You will learn where AI emissions come from, what to measure, and how to apply GreenOps thinking to AI workloads.
Get certified
Level One and Level Two Courses Available
If you’re new to GreenOps or just starting to explore the topic, we recommend beginning with our Level One and Level Two courses - Cloud Sustainability Fundamentals and Cloud GreenOps Philosopher. These will give you the foundations in cloud sustainability, data, and use case development needed to get the most out of this AI course. Once you’ve built that grounding, you’ll be in a much stronger position to apply GreenOps thinking to AI and drive meaningful action in your organization.
