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Updated in [August 18th, 2023]

Skills and Knowledge:
This course will provide learners with the skills and knowledge necessary to utilize Amazon Web Services (AWS) for Machine Learning. Learners will gain an understanding of the various services offered by AWS for Machine Learning, such as computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training, and virtual agents. Learners will also learn how to use these services to improve their current applications and user experience.
Professional Growth:
This course provides an introduction to Machine Learning on AWS, which can contribute to professional growth by teaching participants how to use services to handle training models and raw inference. Participants will learn how to use AI, ML, and Deep Learning to improve current solutions and user experiences, as well as how to apply these technologies to business needs. By the end of the course, participants will have a better understanding of how to use Machine Learning on AWS to their advantage.
Further Education:
This course is suitable for preparing further education in the field of Machine Learning on AWS. It covers a wide range of topics, from services that handle training models and raw inference to computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. The course also provides an opportunity to think about current solutions and how they can be improved using AI, ML or Deep Learning. All of these topics are essential for further education in the field of Machine Learning on AWS.