Carbon Aware Computing for GenAI Developers
DeepLearning.AI · View on Coursera ↗
Taught by Nikita Namjoshi
Computer Science
About the course
Learn how to perform model training and inference jobs with cleaner, low-carbon energy in the cloud! Learn from Nikita Namjoshi, developer advocate at ...
The consensus
Every one of the 5 reviews we read gave it 4★ or more. This is the most-upvoted one (no upvotes).
“I’ve completed the Carbon Aware Computing for GenAI training! Reducing the environmental impact of AI is not just a technological challenge — it's a moral responsibility. Through this training, I gained valuable insights into carbon-aware algorithms, sustainable computing infrastructures, and energy-conscious design. Key takeaways: A deeper understanding of the energy footprint of GenAI systems Practical strategies for reducing carbon emissions in AI development A renewed perspective on how to align innovation with environmental responsibility Technology can — and should — drive a more sustainable future. I'd be happy to connect and discuss this topic further with anyone interested!”
Coursera's 4.7 comes from 17 ratings. Of those, 0.0% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗