Course curriculum

    1. Welcome!🌞

    2. Let's get to know you📝

    1. Autonomous Driving 💭

    2. Developing the AI 📈

    3. The Challenges 🤯

    4. Simulations 🔮

    1. Extra Resources 🍅

    2. Feedback📝

About this course

  • Free
  • 8 lessons
  • 0.5 hours of video content
  • Beginner Friendly

What you will learn

  • Perception & Mapping: Learn how an autonomous car senses the world and handles traffic, and how it turns camera and sensor data into a smart 3D map, letting the car's brain spot hazards instantly.

  • The Power of Simulation: Understand why the real challenge isn't writing driving rules, but building massive backend systems. Learn how engineers create simulations to prepare the car for wild, unpredictable real-world moments.

  • Continuous Learning: Discover how these cars learn from their mistakes using constant feedback loops. We will explore how building a super-smart training system is the secret key to getting safe, fully self-driving cars on the road.

Meet your Instructor

David Kirk

Lead Engineer, Wayve

David Kirk is a software engineer who learned how to program as a teenager because he wanted to make games. Now, he builds software to help other developers create products, and in his free time, he still follows his original passion of creating games.

Frequently asked questions

  • Do I need to be a coding genius or know how to drive to take this course?

    Not at all! All you need is a curious mind and an interest in how technologies like artificial intelligence, computer vision, and robotics are shaping our future world.

  • How will this course benefit me and my future career?

    You will learn how world-class tech companies build software, how machine learning works in the real world, and how to solve complex problems like an AI engineer. Gaining this knowledge is a fantastic head start if you are interested in high-demand future careers in coding, robotics, data science, or engineering!