Data Integration for Enterprise Automation

In ANL555 Data Integration for Enterprise Automation, students will learn how to use data integration and workflow automation techniques to drive enterprise transformation and achieve business results. The course begins by giving students an understanding of the roles that integration and automation play in digital transformation, as well as the various integration and automation platforms that have emerged in both Business and Technology environments. Students will learn how to evaluate and select suitable platforms based on business and technical requirements. Following which, students will learn essential concepts, skills and techniques in two common enterprise integration and automation pathways: User Interface-based (UI-based) Automation, like Robotic Process Automation (RPA), and Application Programming Interface-based (API-based) Automation, like Integration Platform-as-a-Service (iPaaS). Students will be guided and equipped with the skills to build their own API-based integration and automation workflows to solve real-life industry problems, and use Artificial Intelligence (AI) and Machine Learning (ML) to enhance their data integration and automation techniques. By the end of this course, students will be competent and proficient in using data integration and automation techniques to build a scalable enterprise integration and automation framework for their organizations.

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