❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
This course will provide students with the skills and knowledge necessary to utilize Amazon Web Services (AWS) for Machine Learning. Students will learn how to use AWS services such as Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Translate, Amazon Lex, and Amazon Polly to create and deploy machine learning models. Additionally, students will gain an understanding of the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and natural language processing.
Professional Growth:
This course provides an introduction to Machine Learning on AWS, which can contribute to professional growth by teaching users how to use services to improve their current solutions. Through the course, users will learn how to use services such as computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents to improve their user experience or the business needs of their application. By gaining these skills, users will be able to apply them to their current solutions and create more efficient and effective solutions.
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. This course provides a comprehensive overview of Machine Learning on AWS and is an excellent starting point for further education in the field.