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Overall Score : 80 / 100

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Course Description

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today's job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it's estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications - no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career. This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.

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Instructor Details

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Blaine Sundrud, from Washington D.C., has been teaching technology for more years than he is willing to admit. After spending time teaching in the newspaper industry, he moved to the AWS Training and Certification Department. Blaine has taught classes globally on many different disciplines, such as Security, Cloud Architecture, DevOps, Big Data, AI/ML, and Theatre History. When asked if he can actually quote every line in The Godfather, he smiles and changes the subject.

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Reviews

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