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IBM AI Enterprise Workflow

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This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. 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. Throughout this specialization, 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.

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From IBM via Coursera
Hours 46
Instructors Mark J Grover, Ray Lopez, Ph.D.
Language English
Subjects Data Science Programming

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Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

Jun
26

AI Workflow: Business Priorities and Data Ingestion

This is the first course of a six part specialization.  You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of...

Coursera | IBM

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Jun
26

AI Workflow: Data Analysis and Hypothesis Testing (You were viewing this course)

This is the second course in the IBM AI Enterprise Workflow Certification specialization.  You are STRONGLY encouraged to complete these courses in order as they are not...

Coursera | IBM

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Jun
26

AI Workflow: Feature Engineering and Bias Detection

This is the third course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not...

Coursera | IBM

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Jun
26

AI Workflow: Machine Learning, Visual Recognition and NLP

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not...

Coursera | IBM

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Jul
3

AI Workflow: Enterprise Model Deployment

This is the fifth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not...

Coursera | IBM

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Jul
3

AI Workflow: AI in Production

This is the sixth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not...

Coursera | IBM

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Coursera

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IBM

From IBM via Coursera
Hours 46
Instructors Mark J Grover, Ray Lopez, Ph.D.
Language English
Subjects Data Science Programming

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

IBM DataPower $64k

IBM Commerce Developer $65k

Character AI Developer $67k

IBM SME $82k

IBM MDM $86k

IBM/WPS developer $91k

AI Developer Technology Engineer $126k

AI Software Engineer $132k

Robotics / AI Software Engineer $135k

Senior AI & Gameplay Programmer $149k

Research Engineer, AI $151k

Research Engineer, Amazon AI $157k

Similar Courses

Sorted by relevance