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AWS DeepRacer: Driven by Reinforcement Learning

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AWS DeepRacer: Driven by Reinforcement Learning

In this course, you will learn how use reinforcement learning (RL) to build, train and deploy models in AWS DeepRacer, and participate in the AWS DeepRacer League. You will cover car orientation, RL, building and training models, evaluating them, and deploying them to the physical car. By the end of this course, you will have a working RL model that you can use in the AWS DeepRacer League.

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Skill level: Intermediate Time required: 4 hours 30 minutes
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You Will Learn

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Understand how reinforcement learning (RL) is used to build, train, and deploy models in AWS DeepRacer

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Learn the basics of car orientation, RL, building and training models, evaluating them, and deploying them to the physical car

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Get hands-on experience in building, training, and evaluating RL models

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Learn how to create a fully functional RL model that you can enter into the virtual or physical circuit of the AWS DeepRacer League

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