IBM AI Enterprise Workflow, Short Course | Part time online | Coursera | United States
2 months
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This IBM AI Enterprise Workflow Specialization offered by Coursera in partnership with IBM is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist.  

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  IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production.  The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.

Key facts

Throughout this IBM AI Enterprise Workflow Specialization offered by Coursera in partnership with IBM, the focus will be on the practice of data science in large, modern enterprises.  You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models.  Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models.  Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools.  After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.

Programme Structure

Courses include:

  • AI Workflow: Business Priorities and Data Ingestion
  • AI Workflow: Data Analysis and Hypothesis Testing
  • AI Workflow: Feature Engineering and Bias Detection
  • AI Workflow: Machine Learning, Visual Recognition and NLP
  • AI Workflow: Enterprise Model Deployment
  • AI Workflow: AI in Production

Key information


  • Part-time
    • 2 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.




  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Advanced Level

  • Designed for those already in the industry.

Tuition Fee

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  • International

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.


Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

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