MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
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
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.
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.
Understand the potential of computer vision for the future of your business
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.
Syllabus
Week 1: Introduction to Computer Vision
Week 2: Machine learning and deep learning
Week 3: Application of Computer Vision
What will you achieve?
By the end of the course, you‘ll be able to...
- Explain what Computer Vision is, and how it has positive impact on your business.
- Demonstrate knowledge regarding the different components of Computer Vision like image processing, machine learning, and deep learning.
- Explore how Computer Vision can be applied in different interesting fields like transportation, health care, production lines, and security.
Who is the course for?
This course is designed for those in industry and academia who wish to boost their digital skills and learn about the evolution and potential of computer vision practices.
This may include researchers, students, executives, entrepreneurs, and more.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.