Program profile · official sources
IBM AI Enterprise Workflow Specialization
The IBM AI Enterprise Workflow Specialization on Coursera is an advanced-level program designed for existing data science practitioners seeking to build and deploy AI solutions in large enterprises. Instructed by IBM, the six-course curriculum covers data ingestion, exploratory data analysis, feature engineering, model training, and enterprise model deployment using tools like Python, Jupyter, Apache Spark, and IBM Cloud technologies. Learners gain hands-on experience through case studies focusing on a hypothetical streaming media company. The self-paced online program has a headline estimate of 2 months to complete at 10 hours a week, though an FAQ section estimates 35-40 hours of total study. Completing the program prepares learners for the IBM AI Enterprise Workflow V1 Data Science Specialist certification exam. As shown in the United States on 15 October 2026, the program is taught in English.
Facts checked 15 Oct 2026
- Price
- See pricing
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available', while the FAQ states 'No, you cannot take this course for free' as shown in the United States on 15 October 2026.
- Provider link
See price and enroll at IBM (official site) ↗
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- Time
- Headline: 2 months to complete at 10 hours a week. FAQ: The entire specialization will require 35-40 hours of study.
- Level
- Advanced level
- Credential
- Provider-issued course certificate
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- Prerequisites
- The provider explicitly requires a fundamental understanding of Linear Algebra, sampling, probability theory, probability distributions, descriptive and inferential statistical concepts, machine learning techniques and best practices, plus a practiced understanding of Python and data science packages (NumPy, Pandas, matplotlib, scikit-learn). Familiarity with IBM Watson Studio and the design thinking process is also required. An FAQ section further notes it is highly recommended to have at least a basic working knowledge of design thinking and Watson Studio prior to taking the course. Course 1 includes a Readiness Exam to test preparation.
- Format
- 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.
Sources ↗
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: AI Workflow: Business Priorities and Data Ingestion
- Course 2: AI Workflow: Data Analysis and Hypothesis Testing
- Course 3: AI Workflow: Feature Engineering and Bias Detection
- Course 4: AI Workflow: Machine Learning, Visual Recognition and NLP
- Course 5: AI Workflow: Enterprise Model Deployment
- Course 6: AI Workflow: AI in Production
Prerequisites: The provider explicitly requires a fundamental understanding of Linear Algebra, sampling, probability theory, probability distributions, descriptive and inferential statistical concepts, machine learning techniques and best practices, plus a practiced understanding of Python and data science packages (NumPy, Pandas, matplotlib, scikit-learn). Familiarity with IBM Watson Studio and the design thinking process is also required. An FAQ section further notes it is highly recommended to have at least a basic working knowledge of design thinking and Watson Studio prior to taking the course. Course 1 includes a Readiness Exam to test preparation.
What you actually do
- Course 1: AI Workflow: Business Priorities and Data Ingestion : 8 hours; Course 1 · Source
- Course 2: AI Workflow: Data Analysis and Hypothesis Testing : 11 hours; Course 2 · Source
- Course 3: AI Workflow: Feature Engineering and Bias Detection : 12 hours; Course 3 · Source
- Course 4: AI Workflow: Machine Learning, Visual Recognition and NLP : 14 hours; Course 4 · Source
- Course 5: AI Workflow: Enterprise Model Deployment : 9 hours; Course 5 · Source
- Course 6: AI Workflow: AI in Production : 17 hours; Course 6 · Source
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / ibm-ai-workflow
- Credential
- Shareable certificate · www.coursera.org / ibm-ai-workflow
- Issuer
- IBM · www.coursera.org / ibm-ai-workflow
- Sharing
- Add to your LinkedIn profile · www.coursera.org / ibm-ai-workflow
- Exam requirement
- Earning the credential requires completing the specialization courses, but it is not explicitly established whether a separate comprehensive final exam is required. Completing this specialization prepares learners to take a separate official certification examination for the IBM AI Enterprise Workflow V1 Data Science Specialist administered by Pearson VUE. · www.coursera.org / ibm-ai-workflow
Alternatives in the registry
Related by topic or level.
- Google Advanced Data Analytics Professional Certificate : Google Advanced Data Analytics Professional Certificate : USD 49 / month regular; US scope; prices may vary in other countries. As shown in the United States on 2 October 2026; Less than 6 months (headline estimate); 6 months at 10 hours a week (completion estimate); over 200 hours of instruction (lesson hours)..
- IBM Machine Learning Professional Certificate : Check official price; 3 months to complete at 10 hours a week (duration checked 11 October 2026).
- Mathematics for Machine Learning and Data Science Specialization : Check official price; 12 weeks to complete at 5 hours a week. (duration checked 1 October 2026).
Change log
- : Initial recorded review of official program details. · Source
- : Publishing-day recheck of the official Coursera page captured from the United States on 15 October 2026: the "Skills you'll gain" list changed, so two topics no longer shown were removed; level, duration, courses, price state, language and certificate unchanged. · Source
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