IBM: Mastering Generative AI for Data Science
About this course
Rav Ahuja teaches how to use generative AI tools (GPT-3.5, ChatCSV, tomat.ai, and others) throughout the data science lifecycle: querying and preparing data, generating and augmenting datasets, and applying generative AI techniques to develop and refine machine learning models.
The honest take: this course requires existing familiarity with generative AI, prompt engineering, and data science — it's squarely aimed at practicing data professionals adding gen-AI fluency, not beginners. The standalone verified certificate price isn't listed separately on the page; it's bundled into a 3-course $147 Professional Certificate track.
What you'll learn
This course includes
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- Price
- FreeAudit free · verified certificate price not listed on page (part of a 3-course bundle priced at $147)
- Duration
- 12 hrs
- Level
- Intermediate
- Certificate
- Verified
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 94 hrs
- Level
- Intermediate
- Certificate
- Professional
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 14 hrs
- Level
- Beginner
- Certificate
- Professional
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 110 hrs
- Level
- Beginner
- Certificate
- Professional
Instructor
Rav Ahuja is IBM's Global Program Director for the IBM Skills Network, leading curriculum strategy for AI, data science, and cloud courses on edX.
Requirements
- Introductory knowledge of generative AI, prompt engineering, and data science
Who this course is for
- Working data scientists, analysts, and engineers
- Data professionals wanting generative AI fluency