Program profile · official sources

Generative AI for Data Scientists Specialization

The Generative AI for Data Scientists Specialization on Coursera is an intermediate-level program offered by IBM. Designed for existing and aspiring data professionals, the curriculum teaches students how to apply generative AI to data science workflows. Learners explore prompt engineering and tools like ChatGPT, IBM Watsonx, Prompt Lab, and Dust. The self-paced online program has headline estimates of under 1 month or 4 weeks to complete at 10 hours a week. The curriculum consists of 3 courses. Earning the shareable provider-issued course certificate requires completing the work. As shown in the United States on 13 October 2026, the program is taught in English.

Facts checked 13 Oct 2026

Price
See pricing

As shown in the United States on 13 October 2026, no accepted numeric price is stated. The page lists 'Enroll for free' and 'Join for Free', though the FAQ clarifies 'No, you cannot take this course for free'.

Provider link

See price and enroll at IBM (official site) ↗

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Time
under 1 month; 4 weeks to complete at 10 hours a week
Level
Intermediate level
Credential
Provider-issued course certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Prerequisites
The FAQ states 'No experience is necessary' but also notes 'Prior data science experience is helpful'.
Format
Online, flexible schedule, learn at your own pace

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

No accepted numeric price in this registry. See the sourced pricing details below.

See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.

What’s covered

  • Course 1: Generative AI: Introduction and Applications
  • Course 2: Generative AI: Prompt Engineering Basics
  • Course 3: Generative AI: Elevate Your Data Science Career

Prerequisites: The FAQ states 'No experience is necessary' but also notes 'Prior data science experience is helpful'.

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What you actually do

  • Course 1: Generative AI: Introduction and Applications : 8 hours; Course 1 · Source
  • Course 2: Generative AI: Prompt Engineering Basics : 10 hours; Course 2 · Source
  • Course 3: Generative AI: Elevate Your Data Science Career : 14 hours; Course 3 · Source

What the credential is

Credential type
Provider-issued course certificate · www.coursera.org / generative-ai-for-data-scientists
Credential
Shareable certificate · www.coursera.org / generative-ai-for-data-scientists
Issuer
IBM · www.coursera.org / generative-ai-for-data-scientists
Sharing
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / generative-ai-for-data-scientists
Exam requirement
The page describes completing the work to earn a certificate; it does not explicitly establish whether a comprehensive final exam is required. · www.coursera.org / generative-ai-for-data-scientists

Alternatives in the registry

Related by topic or level.

Change log

  • : Initial recorded review of official program details. · Source
  • : Publishing-day recheck of the official Coursera page captured from the United States on 13 October 2026: the "Skills you'll gain" list now shows 12 skills, so topics were updated and the summary no longer names generative model architectures; duration, courses, price state, prerequisites and certificate unchanged. · Source
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