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Introduction to Machine Learning on AWS

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Self-paced course

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Certification program

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Overview

In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think of your current solutions and see where you can improve these solutions using AI, ML or Deep Learning. All of these solutions can work with your current applications to make some improvements in your user experience or the business needs of your application.

At the end of this course, students will be able to:

Apply machine learning and artificial intelligence to tasks that you'd normally think you'd need a human to do

Understand the differences between Machine Learning, Artificial Intelligence and Deep Learning

Analyze labels and images using advanced technology

Learn how to host your own machine learning models with Amazon Sagemaker

Skills you will gain

Learning outcomes

Post this credential on your LinkedIn profile, resume, or CV, and don’t forget to celebrate your achievement by sharing it across your social networks or mentioning it during your performance review

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1471 students

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14 Days

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English

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