Applications of AI Technology

Understand how artificial intelligence is shaping our future

From our workplaces to our homes, AI can now be found in all aspects of our lives. On this four-week course, you’ll delve into the applications of AI technology and how it is affecting the future of four key areas.

You’ll start by discovering intelligent systems, where you’ll explore neural networks, genetic algorithms and particle swarm optimization. Next, you’ll discover deep learning, as you learn how self-flying drones are trained using VR.

You’ll then explore the use of AI in sustainable fisheries management before considering the use of machine learning for finding clinical data patterns for forecasting models.

Explore machine learning basics

To help you understand more about AI applications, you’ll gain an introduction to the basics of machine learning.

With this knowledge , you’ll unpack deep learning and the potential for robots, autonomous vehicles, and drones in the future.

Discover how AI can promote sustainable fishing

On week three of the course, you’ll explore how AI can help develop sustainable fisheries.

You’ll gain an introduction to different fishery management types before discovering the applications of AI to make fisheries management more sustainable.

Learn from the experts at Taipei Medical University

On the final week of the course, you’ll gain an understanding of AI image analytics. You’ll learn more about deep learning as you explore the MRI analysis method and how AI can help prevent or diagnose certain diseases.

Guided by the experts at Taipei Medical University, you’ll finish the course with the knowledge of key applications of AI technology and how it is shaping our future.

This course is designed for those with some prior knowledge in AI algorithms. Basic existing knowledge in AI is highly recommended.

This course is designed for those with some prior knowledge in AI algorithms. Basic existing knowledge in AI is highly recommended.

• Explore the basic principles and techniques of intelligent systems
• Explain how machine learning improved clinical application
• Discuss deep reinforcement learning to train autonomous navigation for vehicles or drones
• Explore the possibility of how AI can lead to more sustainable fishing