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AWS DeepRacer Course
Blane Sundred
and
DeClercq Wentzel
Blane Sundred
and
DeClercq Wentzel
Take Udacity's AWS DeepRacer course and learn the fundamentals of machine learning and reinforcement learning in an engaging way through autonomous driving with AWS DeepRacer.
Register for this course and see more details by visiting:
OpenCourser.com/course/3atc8u/aws
What's inside
Syllabus
Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Read more
Syllabus
Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Read more
Receive an overview of what you’ll be learning and doing in the course, learn about the items that come in the AWS DeepRacer box, and assemble and calibrate your vehicle!
First, learn how to navigate the standard AWS DeepRacer online platform. Then, build, train and evaluate your own basic racer in the online simulator!
Study the basics of reinforcement learning, including agents, actions, environments, states, and rewards. Then, find out how RL is used with AWS DeepRacer, and investigate other applications of RL.
Go more in depth with how parameters, hyperparameters and different reward functions can affect the racer’s performance. Then, enhance your racer by trying out your new skills on your own model!
Deploy your trained model onto your hardware. Next, learn about ROS. Study the differences between simulated and real-world tracks, and then dive even further in-depth on customizing your training.
Find out how to compete in both online and in-person AWS DeepRacer events, and then get yourself on the leaderboards!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an overview of what you’ll be learning and doing in this course, the items that come in the AWS DeepRacer box, and teaches you how to assemble and calibrate your vehicle!
Provides hands-on experience with building, training, and evaluating your own basic racer in the online simulator!
Provides the basics of reinforcement learning, including agents, actions, environments, states, and rewards. Examines how RL is used with AWS DeepRacer, and other applications of RL
Dives into details on how parameters, hyperparameters and different reward functions can affect the racer’s performance. Allows you to enhance your racer by trying out your new skills on your own model!
Provides instructions on how to deploy your trained model onto your hardware, learn about ROS, and study the differences between simulated and real-world tracks
Teaches you how to customize your training process even further, and prepare for competing in both online and in-person AWS DeepRacer events
Save this course
Save AWS DeepRacer Course to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
AWS DeepRacer Course.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete AWS DeepRacer Course will develop knowledge and skills
that may be useful to these careers:
Autonomous Vehicle Engineer
Autonomous Vehicle Engineer
An Autonomous Vehicle Engineer designs, develops, and tests autonomous vehicles. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design, develop, and maintain computer vision systems. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Data Scientist
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data to help make better decisions.
Data Analyst
Data Analyst
Data Analysts gather, clean, and analyze data to help companies make better decisions.
Simulation Engineer
Simulation Engineer
Simulation Engineers design, develop, and maintain simulations. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Game Developer
Game Developer
Game Developers design, develop, and maintain video games. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Software Engineer
Software Engineer
Software Engineers apply the principles of computer science to design, develop, maintain, test, and evaluate computer software.
Robotics Technician
Robotics Technician
Robotics Technicians build, maintain, and repair robots. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
DevOps Engineer
DevOps Engineer
DevOps Engineers build and maintain software development pipelines, ensuring that software is developed and deployed efficiently.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software and systems to ensure that they meet quality standards.
Robotics Engineer
Robotics Engineer
A Robotics Engineer designs, builds, and tests robots that may have various uses. This course may be helpful to you as you will be introduced to the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces to ensure that they are easy to use and enjoyable.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals and white papers.
For more career information including salaries, visit:
OpenCourser.com/course/3atc8u/aws
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AWS DeepRacer Course.
This is the classic textbook on reinforcement learning, and it provides a comprehensive overview of the field. It good resource for students who want to learn more about the foundations of reinforcement learning.
Save
Provides a comprehensive overview of deep learning, including the latest advances in the field. It good resource for students who want to learn more about the theory and practice of deep learning.
Provides a comprehensive overview of robotics, vision, and control. It good resource for students who want to learn more about the fundamentals of these fields.
Save
Provides a comprehensive overview of computer vision. It good resource for students who want to learn more about the theory and practice of computer vision.
Provides a comprehensive overview of deep learning with Python. It good resource for students who want to learn more about the theory and practice of deep learning with Python.
Provides a comprehensive overview of autonomous driving. It good resource for students who want to learn more about the history, present state, and future of autonomous driving.
Provides a comprehensive overview of deep learning for computer vision. It good resource for students who want to learn more about the theory and practice of deep learning for computer vision.
Provides a comprehensive overview of reinforcement learning for robotics. It good resource for students who want to learn more about the theory and practice of reinforcement learning for robotics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3atc8u/aws
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Effort
9 hours
Via
Udacity
Instructors
Blane Sundred
DeClercq Wentzel
Language
English
Good to know
Provides an overview of what you’ll be learning and doing in this course, the items that come in the AWS DeepRacer box, and teaches you how to assemble and calibrate your vehicle!
Provides hands-on experience with building, training, and evaluating your own basic racer in the online simulator!
Provides the basics of reinforcement learning, including agents, actions, environments, states, and rewards. Examines how RL is used with AWS DeepRacer, and other applications of RL
Dives into details on how parameters, hyperparameters and different reward functions can affect the racer’s performance. Allows you to enhance your racer by trying out your new skills on your own model!
Provides instructions on how to deploy your trained model onto your hardware, learn about ROS, and study the differences between simulated and real-world tracks
Teaches you how to customize your training process even further, and prepare for competing in both online and in-person AWS DeepRacer events
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