• Taipei Medical University logo

Applications of AI Technology

Learn how AI technology is influencing four key areas: intelligent systems, medtech, deep learning, and sustainable fishing.

5,544 enrolled on this course

Manager industrial Engineer using tablet check and control automation robot arms machine in intelligent factory industrial over system on virtual interface screen, Industry 4.0 concept

Applications of AI Technology

5,544 enrolled on this course

  • 4 weeks

  • 2 hours per week

  • Accreditation available

  • Digital certificate when eligible

  • Intermediate level

Find out more about how to join this course

The CPD Certification Service

The CPD Certification Service: The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies. Find out more.

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.

Download video: standard or HD

What topics will you cover?

  • Artificial intelligence image analytics of neurological disorders with MRI
  • Intelligent systems and their applications
  • AI in Autonomous Vehicles and Drones
  • AI and Ocean, AI in sustainable fisheries

Who is this accredited by?

The CPD Certification Service
The CPD Certification Service:

The CPD Certification Service: The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • 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

Who is the course for?

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

Who will you learn with?

Assistant Professor, Department of Electronic Engineering, National Taipei University

Assistant Professor, Department of Electronic Engineering, National Taipei University of Technology (Taipei Tech)

I am an assistant professor in the Department of Mechanical and Mechatronic Engineering at National Taiwan Ocean University, Taiwan (starting in February 2017).

Prof. Peng has been an Assistant Professor with Taipei Medical University, Taiwan. His research interests include artificial intelligence in medicine, brain connectome, and neuroimaging analysis.

Who developed the course?

Taipei Medical University

Taipei Medical University (TMU) has been a leader in Taiwan’s healthcare system for over half a century due to its research, teaching excellence, internationalization and outstanding medical service.

Ways to learn

Buy this course

Subscribe & save

Limited access

Choose the best way to learn for you!

$134/one-off payment

$27.99

For the first two months. Automatically renews

Free

Fulfill your current learning needDevelop skills to further your careerSample the course materials
Access to this courseticktick

Access expires 25 Apr 2024

Access to 1,000+ coursescrosstickcross
Learn at your own paceticktickcross
Discuss your learning in commentstickticktick
Tests to check your learningticktickcross
Certificate when you're eligiblePrinted and digitalDigital onlycross
Continue & Upgrade

Cancel for free anytime

Ways to learn

Choose the best way to learn for you!

Subscribe & save

$27.99

For the first two months. Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Tests to boost your learning
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$134/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Tests to boost your learning
  • Printed and digital certificate when you’re eligible

Limited access

Free

Sample the course materials

  • Access expires 25 Apr 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

T&Cs apply.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

Want to know more about learning on FutureLearn? Using FutureLearn

Learner reviews

Learner reviews cannot be loaded due to your cookie settings. Please and refresh the page to view this content.

Do you know someone who'd love this course? Tell them about it...