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Ranjan Relan
Self Driving cars have caught the attention of the automotive world in terms of operational efficiency and value they bring by automating driving. In fact, new age car makers such as Tesla who have reached highest market capitalization in Auto industry in year 2021, have developed technology which is well ahead by few years of traditional known automotive car makers. Technology which powers Self Driving car includes sophisticated algorithms such as deep reinforcement learning and that’s what we shall leverage to build your first self driving car on AWS DeepRacer platform. By the end of this course, not only you shall learn how to...
Read more
Self Driving cars have caught the attention of the automotive world in terms of operational efficiency and value they bring by automating driving. In fact, new age car makers such as Tesla who have reached highest market capitalization in Auto industry in year 2021, have developed technology which is well ahead by few years of traditional known automotive car makers. Technology which powers Self Driving car includes sophisticated algorithms such as deep reinforcement learning and that’s what we shall leverage to build your first self driving car on AWS DeepRacer platform. By the end of this course, not only you shall learn how to...
Read more
Self Driving cars have caught the attention of the automotive world in terms of operational efficiency and value they bring by automating driving. In fact, new age car makers such as Tesla who have reached highest market capitalization in Auto industry in year 2021, have developed technology which is well ahead by few years of traditional known automotive car makers. Technology which powers Self Driving car includes sophisticated algorithms such as deep reinforcement learning and that’s what we shall leverage to build your first self driving car on AWS DeepRacer platform. By the end of this course, not only you shall learn how to build your first self driving car but you could also participate in Amazon’s DeepRacer League.
Please note: As part of this course, you would need your AWS Account to complete the course. It would be charged as per your usage of AWS DeepRacer service. However, if you are using AWS DeepRacer for the first time, at the time of creating this course – AWS provides 10 hours of free hours to train or evaluate the model
and 5 GB of storage during the first month. Overall you need to use this service within the first 1 month post which you shall be charged.
Register for this course and see more details by visiting:
OpenCourser.com/course/plz7t2/build
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches students how to build self-driving cars using deep reinforcement learning on the AWS DeepRacer platform
Provides hands-on experience with AWS DeepRacer, a cloud-based simulation environment for developing and testing self-driving cars
Offers the opportunity to participate in the Amazon's DeepRacer League, a global competition for self-driving car enthusiasts
Requires an AWS account and may incur charges for using the AWS DeepRacer service beyond the free usage tier
Assumes prior knowledge of deep reinforcement learning and AWS cloud services
Does not provide a comprehensive introduction to self-driving car technology or deep reinforcement learning
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Reviews summary
Deepracer aws self driving car course
This hands-on course provides a foundation for building a self-driving car using AWS DeepRacer. It includes an overview of self-driving car technology, as well as practical experience in setting up and testing a self-driving car on the AWS DeepRacer platform. Some learners express concern about the limited time provided for training and testing without incurring charges, and one learner notes that a certificate is provided without any formal assessment.
Introduces AI concepts
"It is a good guided project to have a basic foundation to how develop a self-driving car in the age where we are seeing artificial intelligence has been exponentially growing"
Introduction to AWS DeepRacer
"cover the basic of AWS deep racer project."
Provides practical experience
"The time provided to train and test the car on the cloud platform was less and I had to continue with personal AWS account."
Certificate provided
"Also, certificate was provided without any actual test or evaluation whether I have understood the concepts clearly."
Limited time for training
"The time provided to train and test the car on the cloud platform was less and I had to continue with personal AWS account."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Build your first Self Driving Car using AWS DeepRacer with these
activities:
Review 'Deep Reinforcement Learning' by Sutton and Barto
Show steps
Gain a deeper theoretical understanding of the concepts behind deep reinforcement learning used in self-driving cars.
View
Reinforcement Learning, second edition: An...
on Amazon
Show steps
-
Read selected chapters relevant to the course.
-
Summarize key concepts and techniques in your own words.
Review Python programming concepts
Show steps
Deepen your understanding of the programming fundamentals required for this course.
Browse courses on
Python
Show steps
-
Go through Python tutorial online or refer to a textbook.
-
Complete practice problems on basic Python syntax.
-
Write a simple Python program to reinforce your understanding.
Follow tutorials on AWS DeepRacer platform
Show steps
Familiarize yourself with the key concepts and tools of the AWS DeepRacer platform.
Browse courses on
AWS DeepRacer
Show steps
-
Go through the official AWS DeepRacer tutorials.
-
Follow step-by-step guides on building and training a self-driving car model.
-
Experiment with different parameters and techniques to optimize your model.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group to discuss course topics
Show steps
Engage with fellow students to exchange ideas, clarify concepts, and reinforce your understanding through peer discussions.
Show steps
-
Find or create a study group with other students in the course.
-
Meet regularly to discuss course materials, assignments, and projects.
Build and train a basic self-driving car model
Show steps
Apply your knowledge to create a functional self-driving car model, solidifying your understanding of the course concepts.
Browse courses on
Machine Learning
Show steps
-
Design and implement a deep reinforcement learning algorithm.
-
Train the model using the AWS DeepRacer simulator.
-
Evaluate the performance of your model and make necessary adjustments.
Build a simple autonomous vehicle using Raspberry Pi
Show steps
Enhance your practical skills by building a physical autonomous vehicle, deepening your understanding of the hardware and software components involved.
Browse courses on
Raspberry Pi
Show steps
-
Gather necessary materials and components.
-
Assemble the vehicle and install the required sensors.
-
Develop and implement software for autonomous navigation.
Participate in the Amazon's DeepRacer League
Show steps
Challenge yourself and showcase your skills by participating in a real-world competition to build the best self-driving car model.
Browse courses on
Competition
Show steps
-
Register for the Amazon's DeepRacer League.
-
Submit your self-driving car model for evaluation.
-
Analyze the results and improve your model based on feedback.
Review 'Deep Reinforcement Learning' by Sutton and Barto
Show steps
Gain a deeper theoretical understanding of the concepts behind deep reinforcement learning used in self-driving cars.
View
Reinforcement Learning, second edition: An...
on Amazon
Show steps
Show steps
Show steps
- Read selected chapters relevant to the course.
- Summarize key concepts and techniques in your own words.
Review Python programming concepts
Show steps
Deepen your understanding of the programming fundamentals required for this course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Go through Python tutorial online or refer to a textbook.
- Complete practice problems on basic Python syntax.
- Write a simple Python program to reinforce your understanding.
Follow tutorials on AWS DeepRacer platform
Show steps
Familiarize yourself with the key concepts and tools of the AWS DeepRacer platform.
Browse courses on
AWS DeepRacer
Show steps
Show steps
Show steps
- Go through the official AWS DeepRacer tutorials.
- Follow step-by-step guides on building and training a self-driving car model.
- Experiment with different parameters and techniques to optimize your model.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group to discuss course topics
Show steps
Engage with fellow students to exchange ideas, clarify concepts, and reinforce your understanding through peer discussions.
Show steps
Show steps
Show steps
- Find or create a study group with other students in the course.
- Meet regularly to discuss course materials, assignments, and projects.
Build and train a basic self-driving car model
Show steps
Apply your knowledge to create a functional self-driving car model, solidifying your understanding of the course concepts.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Design and implement a deep reinforcement learning algorithm.
- Train the model using the AWS DeepRacer simulator.
- Evaluate the performance of your model and make necessary adjustments.
Build a simple autonomous vehicle using Raspberry Pi
Show steps
Enhance your practical skills by building a physical autonomous vehicle, deepening your understanding of the hardware and software components involved.
Browse courses on
Raspberry Pi
Show steps
Show steps
Show steps
- Gather necessary materials and components.
- Assemble the vehicle and install the required sensors.
- Develop and implement software for autonomous navigation.
Participate in the Amazon's DeepRacer League
Show steps
Challenge yourself and showcase your skills by participating in a real-world competition to build the best self-driving car model.
Browse courses on
Competition
Show steps
Show steps
Show steps
- Register for the Amazon's DeepRacer League.
- Submit your self-driving car model for evaluation.
- Analyze the results and improve your model based on feedback.
Career center
Learners who complete Build your first Self Driving Car using AWS DeepRacer will develop knowledge and skills
that may be useful to these careers:
Autonomous Vehicle Engineer
Autonomous Vehicle Engineer
Autonomous Vehicle Engineers design, develop, and test self-driving cars. This course provides you with hands-on experience in building and training self-driving cars using AWS DeepRacer. By completing this course, you'll gain the skills and knowledge necessary to pursue a career in this rapidly growing field.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and deploy artificial intelligence solutions. This course provides a comprehensive introduction to deep reinforcement learning, a key technology powering self-driving cars. By completing this course, you'll gain the skills necessary to build and implement AI solutions in various domains.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. This course provides a comprehensive introduction to deep reinforcement learning, a powerful machine learning technique used in self-driving cars. By completing this course, you'll gain the skills necessary to build and implement machine learning solutions in various domains.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design, develop, and deploy computer vision systems. This course provides a solid foundation in deep reinforcement learning, a technique used in self-driving cars to process visual data. By mastering these concepts, you'll gain valuable skills that are highly sought after in the computer vision industry.
Data Scientist
Data Scientist
Data Scientists use data to extract insights and solve business problems. The course you're enrolled in provides a strong foundation in deep reinforcement learning, a technique used to train self-driving cars. By gaining proficiency in this area, you'll enhance your data science skillset and become more valuable in the job market.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and test robots. This course provides a solid foundation in deep reinforcement learning, a technique used to control self-driving cars. By mastering these concepts, you'll gain valuable skills that are transferable to a wide range of robotics applications.
Research Scientist
Research Scientist
Research Scientists conduct research in various scientific fields. This course provides a comprehensive introduction to deep reinforcement learning, a powerful machine learning technique used in self-driving cars. By completing this course, you'll gain the skills necessary to conduct cutting-edge research in this exciting field.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to the design, development, deployment, and maintenance of software systems. The course you're taking provides a solid foundation in deep reinforcement learning, a key technology powering self-driving cars. By mastering these concepts, you'll gain valuable skills that are highly sought after by employers in the software industry.
Control Systems Engineer
Control Systems Engineer
Control Systems Engineers design, develop, and test control systems. This course provides a valuable introduction to the field of self-driving cars, a key area of innovation in control systems engineering. By completing this course, you'll gain a competitive edge in the job market and increase your chances of success in this field.
Automotive Engineer
Automotive Engineer
Automotive Engineers design, develop, and test vehicles. This course provides a valuable introduction to the field of self-driving cars, a key area of innovation in the automotive industry. By completing this course, you'll gain a competitive edge in the job market and increase your chances of success in this field.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course provides a comprehensive introduction to deep reinforcement learning, a key technology powering self-driving cars. By completing this course, you'll gain the skills necessary to develop and launch innovative products in various domains.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to provide insights for decision-making. This course provides a solid foundation in deep reinforcement learning, a technique used to train self-driving cars. By gaining proficiency in this area, you'll enhance your data analysis skillset and become more valuable in the job market.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course provides a valuable introduction to the field of self-driving cars, a key area of innovation in project management. By completing this course, you'll gain a competitive edge in the job market and increase your chances of success in this field.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify areas for improvement. This course provides a valuable introduction to the field of self-driving cars, a key area of innovation in business. By completing this course, you'll gain a competitive edge in the job market and increase your chances of success in this field.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course provides a valuable introduction to the field of self-driving cars, a key area of innovation in technical writing. By completing this course, you'll gain a competitive edge in the job market and increase your chances of success in this field.
For more career information including salaries, visit:
OpenCourser.com/course/plz7t2/build
Reading list
We've selected seven 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
Build your first Self Driving Car using AWS DeepRacer.
Provides a rigorous foundation in probabilistic robotics, which is essential for understanding the navigation and planning algorithms used in self-driving cars.
This classic textbook provides a well-established foundation in reinforcement learning and will be an invaluable reference for learners who wish to dig deeper into the subject.
Provides a detailed introduction to control systems and robotics, which are essential for understanding the low-level control algorithms used in self-driving cars.
Save
Provides a comprehensive overview of planning algorithms, which are used in self-driving cars to determine the best path to take.
Provides a practical guide to machine learning using popular Python libraries, and will be helpful for learners who want to apply their knowledge to real-world projects.
Provides a comprehensive overview of automotive safety, which is essential for understanding the safety considerations in the design of self-driving cars.
Provides a comprehensive introduction to deep learning and will be particularly useful for learners who want to understand the underlying principles behind the course's material.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/plz7t2/build
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Ranjan Relan
Good to know
Teaches students how to build self-driving cars using deep reinforcement learning on the AWS DeepRacer platform
Provides hands-on experience with AWS DeepRacer, a cloud-based simulation environment for developing and testing self-driving cars
Offers the opportunity to participate in the Amazon's DeepRacer League, a global competition for self-driving car enthusiasts
Requires an AWS account and may incur charges for using the AWS DeepRacer service beyond the free usage tier
Assumes prior knowledge of deep reinforcement learning and AWS cloud services
Does not provide a comprehensive introduction to self-driving car technology or deep reinforcement learning
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