Computer Vision: Executive Briefing
Computer Vision technology enables applications to "see" the world around them and respond with accuracy comparable to that of humans. This Executive Briefing provides an overview of the potential of Computer Vision and how it can be used to create new opportunities. ▼
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Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
Learners can learn about the fundamentals of Computer Vision, including its history, applications, and the underlying technologies. They can also explore the various techniques used in Computer Vision, such as image processing, object recognition, and deep learning. Additionally, learners can gain insight into the development direction of Computer Vision, including its potential applications in various industries and the challenges that need to be addressed. Finally, learners can gain an understanding of how Computer Vision can be used to create innovative products and services, and how it can be used to improve existing ones.
[Applications]
After this course, it is suggested that the application of Computer Vision be explored further. This could include researching the various algorithms and techniques used in Computer Vision, as well as exploring the potential applications of Computer Vision in various industries. Additionally, it is recommended that individuals consider the ethical implications of using Computer Vision in their applications.
[Career Paths]
Recommended Career Paths:
1. Computer Vision Engineer: Computer Vision Engineers are responsible for developing and deploying computer vision algorithms and systems. They must have a strong understanding of computer vision fundamentals, such as image processing, object recognition, and deep learning. They must also be able to develop and maintain computer vision systems. This job is expected to grow rapidly in the coming years as more companies adopt computer vision technology.
2. Computer Vision Researcher: Computer Vision Researchers are responsible for researching and developing new computer vision algorithms and systems. They must have a strong understanding of computer vision fundamentals, such as image processing, object recognition, and deep learning. They must also be able to develop and maintain computer vision systems. This job is expected to grow rapidly in the coming years as more companies adopt computer vision technology.
3. Computer Vision Product Manager: Computer Vision Product Managers are responsible for managing the development and deployment of computer vision products. They must have a strong understanding of computer vision fundamentals, such as image processing, object recognition, and deep learning. They must also be able to develop and maintain computer vision systems. This job is expected to grow rapidly in the coming years as more companies adopt computer vision technology.
4. Computer Vision Consultant: Computer Vision Consultants are responsible for providing advice and guidance to companies on how to best use computer vision technology. They must have a strong understanding of computer vision fundamentals, such as image processing, object recognition, and deep learning. They must also be able to develop and maintain computer vision systems. This job is expected to grow rapidly in the coming years as more companies adopt computer vision technology.
[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree path provides a comprehensive overview of computer science, including topics such as programming, algorithms, data structures, and software engineering. It also covers the fundamentals of computer vision, such as image processing, object recognition, and machine learning. This degree path is ideal for those looking to develop a strong foundation in computer science and computer vision.
2. Master of Science in Artificial Intelligence: This degree path focuses on the development of artificial intelligence systems, including topics such as machine learning, natural language processing, and computer vision. It also covers the fundamentals of computer vision, such as image processing, object recognition, and machine learning. This degree path is ideal for those looking to develop a strong foundation in artificial intelligence and computer vision.
3. Doctor of Philosophy in Computer Vision: This degree path focuses on the development of computer vision systems, including topics such as image processing, object recognition, and machine learning. It also covers the fundamentals of computer science, such as programming, algorithms, data structures, and software engineering. This degree path is ideal for those looking to develop a deep understanding of computer vision and its applications.
Developing Trends:
1. Automated Driving: Automated driving is one of the most exciting applications of computer vision. Automated driving systems use computer vision to detect and track objects in the environment, such as other vehicles, pedestrians, and road signs. This technology is becoming increasingly popular and is expected to revolutionize the transportation industry.
2. Augmented Reality: Augmented reality (AR) is another exciting application of computer vision. AR systems use computer vision to detect and track objects in the environment, such as people, objects, and landmarks. This technology is becoming increasingly popular and is expected to revolutionize the way we interact with the world around us.
3. Medical Imaging: Medical imaging is another important application of computer vision. Medical imaging systems use computer vision to detect and track objects in medical images, such as tumors, organs, and blood vessels. This technology is becoming increasingly popular and is expected to revolutionize the medical industry.
Course Provider
Provider Pluralsight's Stats at AZClass
Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Computer Vision skills no matter in career or in further education. Even if you are only slightly interested, you can take Computer Vision: Executive Briefing course with confidence!
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