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AI RANA-AI-505
The Ecological Impact of AI
Course code: RANA-AI-505 Β· Catalog #RANA-AI-505
Understand AI's real-world footprint β energy, water, and emissions β and what it means for you, for business, and for the planet.
What you'll learn β competencies
Pass each module's knowledge check to earn these competencies (view in the competency framework β):
- The hidden footprint
- The power bill: training and inference
- Carbon and the honest counter-fact
- Water, land and the neighbours
- Hardware, minerals and e-waste
- The Jevons trap
- Data centers in space
- Night sky, astronomy and Kessler
- Weighing the tradeoffs
Badges you can earn
Complete each module to collect these badges. Click any badge for details.
Course modules
- Section 01: The Footprint Nobody Sees
- Section 02: The Power Bill: Training, Inference & the Grid
- Section 03: Carbon, and the Honest Counter-Fact
- Section 04: Thirsty Machines: Water, Land & the Neighbours
- Section 05: The Hardware Mountain: Chips, Minerals & E-Waste
- Section 06: Does Efficiency Save Us? The Jevons Trap
- Section 07: Escape to Orbit: The Case for Data Centers in Space
- Section 08: The New Costs of the Sky: Night Sky, Astronomy & Kessler
- Section 09: Weighing It: Tradeoffs Without a Verdict
Suggested pre-requisites
β
Any one AI 2xx Applied course (Claude, ChatGPT, Copilot or Gemini)
Pre-requisites are recommendations, not gates β you can enroll in any course at any time.
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