Full course description
Artificial intelligence can now interpret and analyze images, something that will change the face of industry and business. Learn to understand the potential of computer vision and see the positive impacts it can have on your business.
What you will learn:
This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future.
Delve into the components of CV such as machine learning and deep learning. Explore real-life applications in various industries through use cases
Computer vision technology is flexible, smart, and has the potential to transform almost any field of work.
You’ll explore different use cases to examine the viable applications for CV within the security, transport, healthcare, and manufacturing industries to understand the possibilities of this technology.
Who is this course for?
Computer vision (CV) deals with complex processes at a high level, and can therefore be a challenging and intimidating subject to learn.
Your educators will guide you in understanding CV concepts without the need for any prior technical knowledge. You’ll learn about the functions and integrations of machine learning, deep learning, and image processing, and be able to demonstrate your understanding at a fundamental level.
The Luleå University of Technology provides expertise in industrial engineering and management, including research on computer vision.
With their extensive knowledge, they are best positioned to help you realise the benefits of CV and the positive impacts it can have on your business.
How does it work?
You only need a computer or other device and internet connection to be able to do the course. When you register, you will get access to the course material, which consists of, for example, videos, texts, quizzes and exercises.
Start date: |
Open |
Study time in hours: |
12 h |
Course format: |
Online |
Language: |
English |
Certificate: | Yes |