Welcome to AWS DeepRacer: Driven by Reinforcement Learning. This AWS DeepRacer: Driven by Reinforcement Learning course is an excellent opportunity for anyone interested in the field of machine learning and robotics. It provides a comprehensive introduction to reinforcement learning, allowing users to build autonomous models that can be applied in real-world scenarios. The course also offers hands-on experience with Amazon’s proprietary technology, giving students invaluable insight into how it works and how they can use it effectively.
Reinforcement learning is an important tool for teaching computers how to make decisions and learn from experience. By using AWS DeepRacer, users can quickly become proficient in these techniques without needing any prior knowledge or expertise on the subject matter. The course begins by introducing the basics of reinforcement learning, including concepts such as Markov decision processes and Q-learning. It then dives into how to use the AWS DeepRacer platform, including how to set up a virtual race track and train a model using the provided sample code. The course is organized into six chapters that start off by orienting you to the car before diving into RL. You’ll have several opportunities to build, train, and evaluate your own RL models, and then deploy them to the physical car.
Finally, AWS DeepRacer also offers great flexibility when it comes time for learners to apply what they have learned outside of class by providing access to cloud computing resources such as Amazon EC2 instances at no additional cost beyond tuition fees – making it easier than ever before for budding engineers or data scientists looking break into this exciting field! With its combination of top-notch instruction materials coupled with convenient cloud resources available at no extra cost; there’s never been a better way to explore reinforcement learning than through taking part in this groundbreaking free course offered by Amazon Web Services!