Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
Make your own AI autonomous vehicle!
This is a course where you can learn about AI and reinforcement learning in the most fun and fastest way.
This course was produced by the developer ranked #1 in DeepRacer Korea.
Autonomous Driving Model Development and Optimization
AWS DeepRacer League Participation and Strategy
AWS DeepRacer, Learn from Korea's #1 ranked AI, Castle! 🚀
AI Castle ranked #1 in the official DeepRacer Korea rankings in 2023!
Created with AWS DeepRacer My own AI self-driving car 🚗
This course will teach you artificial intelligence (AI), reinforcement learning, and autonomous driving technologies through self-driving cars using AWS DeepRacer. As of May 2023, when the course opened, AI Castle is ranked #1 in Korea in the AWS DeepRacer League.
The course covers a wide range of topics, including Python programming, vehicle control using AWS DeepRacer, and cloud computing. Upon completion, students will gain a deeper understanding of autonomous driving technology and enhance their ability to develop autonomous driving models using Python.
AWS DeepRacer?
This platform allows you to create your own self-driving car using artificial intelligence. You can apply reinforcement learning, an advanced machine learning (ML) technique capable of learning complex behaviors without training data.
* AWS DeepRacer is a paid service, but when you first sign up, you get 10 hours of model training time for free.
I recommend this to these people 🙆♀️
Students and professionals interested in artificial intelligence and autonomous driving
Anyone who wants to develop an autonomous driving model based on Python
Anyone who wants to develop their skills in a hands-on environment like AWS DeepRacer
Those who lack programming experience to control an actual car
Lecture Features ✨
Hands-on training using AWS DeepRacer
A detailed look at cloud computing and how to leverage AWS.
Includes Python programming training for beginners
Learn things like this 📚
Introduction to autonomous driving technology
Artificial Intelligence and Reinforcement Learning Theory
Python Programming Basics
How to Use AWS DeepRacer
Leveraging cloud computing
Development and optimization of autonomous driving models
AWS DeepRacer League Participation and Strategy
eBook Release ✨
You can view materials easily and conveniently through eBooks.
Q. Is this a course that non-majors can also take?
Yes, even non-majors can take the course. Python programming training is included, so anyone with basic programming knowledge can take the course.
Q. Is there anything I need to prepare before attending the lecture?
While basic programming knowledge is helpful, the course covers Python programming from the ground up. Therefore, you can take the course without any special preparation.
Q. What level of content is covered in the course?
This course covers autonomous driving technology and artificial intelligence from the basics to advanced levels. You'll even learn how to control a real car using AWS DeepRacer.
Things to note before taking the course 📢
Practice environment
Operating System and Version (OS): All OS are supported, including Windows, macOS, and Linux.
Tools used: AWS DeepRacer console and AWS account
PC specifications: PC with basic specifications capable of Internet access
Learning Materials
Learning material formats provided: PPT, cloud link, text, source code, example problems, etc.
Amount and Capacity: Learning materials provided for each section
Player Knowledge and Precautions
No prior knowledge is required.
High school-level math knowledge and Python programming experience may be helpful for this course. However, as the course covers all the fundamentals required, it's perfectly fine if you're enthusiastic about it.
This course is copyrighted by AI Castle, Inc. Unauthorized distribution and duplication are prohibited. The learning materials are also copyrighted and may not be used for any purpose other than personal learning.
Introducing AI Castle ✒️
Hello! We are AI Castle, Inc., specializing in artificial intelligence development and education.
This course was created by AI Castle's training team. Our team consists of experienced developers and training experts who develop practical and innovative AI technologies and run a wide range of training programs. This allows us to provide valuable services to both individuals and businesses.
We offer both offline and online courses, developing programs for all levels of learners, from beginners to experts. Our courses expertly combine theory and practice, enabling participants to apply AI technologies in real-world situations.
AI Castle Inc. is constantly striving to provide the best AI solutions and educational services to domestic and international customers. If you're interested in preparing for the future with us, please contact us anytime. We invite you to join us in the world of AI!
Understand the principles of reinforcement learning algorithms used in AlphaGo as well.
Understand sensors such as cameras and LiDAR used in autonomous vehicles.
Learn and utilize cloud computing via AWS.
Acquire basic Python programming skills essential for autonomous driving model training.
Learn useful tips and strategies to excel in the AWS DeepRacer League.
Exciting AI and reinforcement learning programs for students.
Need to know before starting?
This course requires no prior knowledge and is open to everyone.
This course covers basic Python syntax. Therefore, you can enroll without prior programming knowledge.
Anyone who is an eager student wanting to learn AI and autonomous driving can enroll.
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안녕하세요! 저희는 인공지능 개발과 교육을 전문으로 하는 AI Castle Inc.입니다. 저희 회사는 첨단 기술과 전문 지식을 바탕으로 다양한 분야에 최첨단 인공지능 솔루션과 교육 프로그램을 제공하는 선두 주자입니다. 저희의 목표는 기술의 혁신적인 발전을 통해 사람들의 삶의 질을 향상시키는 것입니다.
저희 팀은 경험이 풍부한 개발자와 교육 전문가들로 구성되어 있으며, 실용적이고 혁신적인 인공지능 기술을 개발하면서 광범위한 교육 프로그램을 운영합니다. 이를 통해 개인과 기업 모두에게 귀중한 서비스를 제공할 수 있습니다.
저희는 인터넷을 통해 오프라인과 온라인 코스를 제공하며, 초보자부터 전문가까지 모든 수준의 학습자를 위한 프로그램을 개발합니다. 저희 코스는 이론과 실습을 전문적으로 결합하여 참가자들이 인공지능 기술을 실제 상황에서 적용할 수 있도록 합니다.
AI Castle Inc.는 국내외 고객들에게 최고의 인공지능 솔루션과 교육 서비스를 제공하기 위해 끊임없이 노력하고 있습니다. 저희와 미래를 준비하는데 관심이 있으시다면 언제든지 연락 주시기 바랍니다. 인공지능의 세계에서 저희와 함께하시길 초대합니다!
This is the best course for laying the foundation for easy and powerful reinforcement learning. I hope that in the future, more in-depth autonomous driving reinforcement learning courses will be opened!
Hello, Mr. Yang Jin-ho. Thank you for your great compliment on laying the foundation for easy and powerful reinforcement learning. I am very happy that you have gained a lot. Congratulations on completing the course, and I recommend that you participate in DeepRacer competitions that are held often:)
Thanks to this, I was able to obtain the reinforcement learning part necessary for making an autonomous exploration and rescue robot, which I am working on as my graduation project this year, as well as the comprehensive information and technologies necessary for Ubuntu. Thank you very much.
Hello, Mr. Woo Sang-min. Congratulations on your graduation! I am so glad that you have gained the information and insight you need. I hope you will be able to create a satisfactory graduation project. Thank you :)