Exciting AI: Autonomous Driving & RL with AWS DeepRacer

Build your own autonomous car! Experience the most engaging approach to AI, reinforcement learning exploration.


What you'll learn
Develop and deploy their own autonomous driving models on real-world physical vehicles.
Gain a deep understanding of the principles behind AI model training.
Comprehend the fundamentals of reinforcement learning algorithms, as used in AlphaGo as well.
Understand the principles and applications of camera and LiDAR sensors used in self-driving cars.
Learn about cloud computing through AWS and harness its power for your projects.
Acquire foundational Python programming skills essential for training autonomous driving models.
Discover valuable tips and strategies to excel in the AWS DeepRacer League.
Provide an engaging and enjoyable AI and reinforcement learning program for students.

Requirements
No prior programming experience is needed. The course is designed to teach you everything you need to know.
A passion for learning and the motivation to explore the exciting world of AI and autonomous driving.

Description
Welcome to our Autonomous Car Course featuring AWS DeepRacer!
Embark on an exciting journey into the world of artificial intelligence (AI), reinforcement learning, and self-driving technology with this comprehensive and engaging course.
AWS DeepRacer is the fastest way to create your very own autonomous car, offering an unparalleled approach to learning AI and reinforcement learning in an enjoyable and accessible manner.
In this course, you'll delve into various topics such as:
1. Autonomous driving
2. Artificail Intelligence
3. Deep learning
4. Reinforcement learning
5. Python programming
6. Cloud computing
7. AWS
8. DeepRacer operation
9. League participation and various tips
The course includes Python programming education, ensuring that it is accessible to anyone, even without prior programming knowledge.
Throughout the course, you'll explore the fundamentals of AI and reinforcement learning, along with their real-world applications. You'll learn about autonomous driving technologies such as camera and LiDAR sensors and delve into different levels of vehicle autonomy.
We'll introduce you to the AWS DeepRacer platform and help you understand the advantages of cloud computing. You'll acquire essential Python programming skills through hands-on exercises, providing you with the tools to develop your own autonomous driving models.
As you progress, you'll learn how to design, train, test, and deploy models on physical vehicles. We'll also cover performance evaluation and optimization techniques to ensure your models run smoothly and efficiently.
Throughout the course, we'll offer valuable tips and strategies for success in the AWS DeepRacer League and encourage collaboration and community engagement for a well-rounded learning experience.
By the end of this course, you'll have a solid understanding of AI, reinforcement learning, and self-driving technologies, setting the foundation for continued exploration and innovation. Join us on this engaging and accessible adventure with AWS DeepRacer!
Who this course is for:
Beginners seeking an enjoyable and engaging approach to learning AI fundamentals.
Students interested in quickly and easily building self-driving car models.
Educators and instructors aiming to incorporate practical, hands-on AI experiences into their curriculum.
Hobbyists and enthusiasts passionate about AI, robotics, or self-driving cars who want to develop their skills further.
Researchers exploring reinforcement learning and its applications in various industries.

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