DECM 640 - Cloud Analytics and Machine Learning

Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0

This course introduces students to the concepts and terminology of Artificial Intelligence and machine learning. By the end of this course, students will be able to select and apply machine learning services to resolve business problems. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach, implement a machine learning pipeline using Amazon SageMaker, use ML services for forecasting, computer vision and natural language processing. This course will also host a series of lab exercises that teach students how to conduct Big Data analysis with practical, real-world examples. Students will learn how to analyze extremely large data sets, and to create visual representations of that data, using a case-study approach. The labs and learning resources are designed to supplement an institution’s existing Big Data and data analytics courses and provide students with hands-on experience working with data at scale.
Prerequisite: BIDA 630 and DECM 610 or AWS Cloud Foundation Certificate

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Academic Catalog

DECM 640 - Cloud Analytics and Machine Learning