IBM AI Enterprise Workflow
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.
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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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The IBM AI Enterprise Workflow course is a specialized, six-course program tailored for data scientists aiming to elevate their skills and prepare for the IBM AI Enterprise Workflow V1 Data Science Specialist certification. This expert-level course focuses on the intersection of business priorities and technical implementations, bridging the gap between machine learning and specialized AI applications such as visual recognition and natural language processing (NLP). Participants will engage with content designed around a hypothetical streaming media company, enhancing their practical data science skills within a large, modern enterprise context. The curriculum includes extensive use of enterprise-class tools on the IBM Cloud, deployment of machine learning models using IBM Watson, and integration with popular open-source tools like Jupyter notebooks and Python libraries. Guided through a series of videos, readings, and case studies, learners will gain hands-on experience in creating, deploying, and testing AI solutions. Upon completion, participants will be well-prepared to take the official IBM certification exam. This course is available through Coursera with professional subscription options, targeting practicing data scientists seeking to deepen their expertise in AI and data science.
Mark J Grover
Ray Lopez, Ph.D.