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ChatGPT + Zapier: Automate Email Replies with AI

Vanderbilt University · View on Coursera ↗

Taught by Dr. Jules White

BusinessData Science

Coursera
4.4
headline rating
Starisk
4.2
Holds up
Small sample. Only 12 reviews were readable, so this score is a hint, not a verdict. Every other course page reads about 20 of the most-helpful reviews.

About the course

Tired of spending hours manually replying to emails? In ChatGPT + Zapier: Automate Email Replies with AI, you’ll learn how to transform your inbox management process by setting up automated AI-driven email replies. This course will show you how to connect labeled emails and folders to workflows that draft responses while you triage your inbox. By the time you’ve finished organizing, ChatGPT will have prepared reply drafts for you to review and send. You’ll master setting up ChatGPT with customi

The dissent

The most-upvoted critical review (no upvotes, 1.0★).

“I am a great and experienced customer support agent, and for the future carriere I am learning here.... Yes, Im a tech dummy for sure... because I have no idea how to repeat the steps that Jules have performed. He does not explain the very basics - how to set everything up. I spent already two days trying to connect zapier to chatgpt (needed to learn how to create the mailbox at https://parser.zapier.com/, then searched where to get my chatgpt API key and other) and still nothing worked after that. I am looking for youtube videos about zapier now, but they are also not helpful and for some reason all guys have the zapier interface looking kind of differently... So far, the course is not helpful for me. The good things are how Jules talks and the fact that he is a human)). Thanks. Vero.”

1.0 / 5

Read the full review on Coursera ↗

Coursera's 4.4 comes from 34 ratings. Of those, 8.8% 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 ↗