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Innovating with AI Design Using Autonomous Vehicles

Innovating with AI Design Using Autonomous Vehicles

1h 20mBeginner2025-07-15

Authors

Sudha Jamthe

Sudha Jamthe

CEO of IoT Disruptions, Advisor, Author, and Instructor

Course details

In this course, learn how to design intuitive, human-centered artificial intelligence using autonomous vehicles—without having to use any code. Instructor Sudha Jamthe starts with a look at designing AI with a human-computer interface, and an exploration of the AIX framework—an industry standard developed by Sudha—that serves as the foundation for designing AI in a human-centered way. Learn to design voice, computer vision and machine learning using a hands-on exercise using no-code. Sudha finishes the course with a look at ethical decisions and data privacy concerns that should be addressed when working with AI.

Skills covered

Design ThinkingUX DesignUser ExperienceGraphic DesignLearningWeb Development

Concepts

0. Introduction

  • 01 - Drive into designing AI

1. Understanding AIX - Designing AI with a Human-Computer Interface

  • 02 - How AI powers autonomous vehicles
  • 03 - How to innovate using human-centered AI design
  • 04 - Understanding the types of AI
  • 05 - AIX - A framework for designing AI

2. Design with Voice

  • 06 - Voice AI
  • 07 - AIX framework to design voice AI
  • 08 - Demo - Designing for voice AI
  • 09 - Challenge - Designing for voice AI
  • 10 - Solution - Designing for voice AI

3. Designing for Computer Vision

  • 11 - Examples of computer vision in the car and beyond
  • 12 - AIX design for camera interfaces
  • 13 - Demo - Designing for computer vision
  • 14 - Challenge - Designing for computer vision
  • 15 - Solution - Designing for computer vision

4. Designing for Machine Learning (MLUX)

  • 16 - What is machine learning for design (MLUX)
  • 17 - AIX framework to design for MLUX
  • 18 - Demo - Designing for MLUX
  • 19 - Challenge - Designing for MLUX
  • 20 - Solution - Designing for MLUX

5. Ethical Design Considerations

  • 21 - Ethics
  • 22 - Data privacy

Conclusion

  • 23 - Next steps

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