About this Specialization
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.
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 | |
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Jun |
AI Workflow: Business Priorities and Data Ingestion (You were viewing this course) 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 |
AI Workflow: Data Analysis and Hypothesis Testing 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 |
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 |
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 |
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 |
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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|
&
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