Learn Edge AI Using Autonomous Vehicles with No-Code

Autonomous mobility vehicles must perform real-time voice recognition, inference, data management, and anomaly detection to protect and serve the people and cargo they carry, as well as others on the road. Learn how edge AI enables faster and more secure AI by processing data directly on devices such as robots, factory equipment, and cameras. Sensors in autonomous mobility vehicles enabling AI on the edge? Learn how that happens! While these vehicles may be able to use cloud services to get and store information, they need to be able to perform extremely complicated calculations instantly and locally. Plus, the data involved must be protected and managed ethically.

Technology futurist Sudha Jamthe teaches you how edge AI works. Learn to build object detection, image, and sound classification models. This is a foundational hands-on course with demos and no-code tools. Explores the tech layers of edge AI in autonomous vehicles and agent AI running on the edge. These agents power the inference layer of AI on the edge. This course is designed for technology enthusiasts and professionals interested in cutting-edge AI applications. Upon finishing this course, you’ll be more confident in understanding how edge AI works and how to use it for your business.

Learning objectives
Distinguish between layers of edge AI and how they go together.
Describe how to work with edge AI for voice and image inference.
Discuss how to detect anomalies with image processing and AI interpretation.
Use no-code tools to understand AI on the edge.
Plan to keep humans in the center of the application, building trust for the devices.