Virtual Driverless Car

Virtual Driverless Car - Meritus AI - STEMfinity

Virtual Driverless Car

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Virtual Driverless Car


Discover the future of driving with AI World School's Virtual Driverless Car Course! Designed for 14 and above, this advanced course features 20 hands-on sessions delving into Neural Networks, Machine Learning and Driverless Cars. You'll use cutting-edge tools like python3, Colab, PyCharm, and anaconda environment. Apply what you've learned in a capstone project and receive a certificate upon completion. Your one-year license includes online, self-paced learning and membership in the AIWS community.


  • Age range: 14 and above 
  • Level: Advanced
  • Duration: 20 Sessions x ~ 1 hour
  • Mode: Online and Self-Learning
  • Learning content: Rich & Experiential 
  • # of lessons: ~ 12
  • # of quizzes:  
  • Learning Experience: Hands-On 
  • Concepts: Neural Networks, Machine Learning and Driverless car.
  • Coding tools: python3, Colab, PyCharm, anaconda environment,
  • Capstone projects: 1
  • Subscription validity: One year
  • Course Certificate on Completion
  • Membership to AIWS Community


Curriculum or Lesson Topics:


Virtual driverless car can be used to train self-driving cars using reinforcement learning. Driverless cars are boon to science and technology which integrates AI, Robotics and engineering. Develop and learn the methodology to become a Virtual driverless car expert.

  1. Introduction to Self Driving
  2. Introduction to Computer Vision
  3. Basic Concepts of Neural Networks
  4. Building a Traffic Sign Classifier
  5. Running Your Self Driving Car




Themes and Modules Learning Outcomes
What is AI? This experiential course provides students with an overview and concepts of Artificial Intelligence
Do we need self-driving cars? Describes a self -driving car and its applications.
Are there different levels of self driving? Explains about the US National Highway Traffic Safety Administration
Are Sensors available in self-driving cars? Discover various sensors in Autonomous Vehicle
Does computer vision have? Analyse an computer vision tools to detect the lane lines on roads
What is Machine Learning? Model and nurture creativity and creative expression by understanding Machine Learning
Is Advance Lane Tracking in video? Identifies the pipeline and track the position of lane lines in video stream using detection techniques
What is Neural Networks? Learn about more input, output and hidden layers
What is the MNIST Dataset? Explore more about the handwritten digit classification
Do we need a traffic-sign recognizer? Build and experience the summarization, distribution and validating the dataset

What’s Included:

1-year access to 1 student for AI World School's Virtual Driverless Car course program. 

Additional Information and Resources:


Technology Requirements/Specifications:

Minimum Tech Requirements:

  • Operating System: Windows 10+
  • CPU: Intel Core i3 & above | 64 bit processor
  • RAM: 4 GB minimum
  • Network: Wired DSL Internet Connection, 40 Mbps minimum


Special Notes and Considerations:

PLEASE NOTE: This product is a temporary digital license and not a physical product. We DO NOT accept returns or refunds on digital licenses.

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