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Xavier Morera
Computer Vision gives applications the ability to "see" the world around them and react accordingly with close-to-human accuracy.
Watch and learn how Computer Vision opens a whole new world of possibilities for you and your applications.
Vision is arguably the most important sense for humans. Imagine if we could make machines “see” and interact with the world around them with close-to-human accuracy. Well, with the advances in Computer Vision and Deep Learning we can.
Read more
Computer Vision gives applications the ability to "see" the world around them and react accordingly with close-to-human accuracy. Watch and learn how Computer Vision opens a whole new world of possibilities for you and your applications.
Vision is arguably the most important sense for humans. Imagine if we could make machines “see” and interact with the world around them with close-to-human accuracy. Well, with the advances in Computer Vision and Deep Learning we can.
Read more
Computer Vision gives applications the ability to "see" the world around them and react accordingly with close-to-human accuracy. Watch and learn how Computer Vision opens a whole new world of possibilities for you and your applications.
Vision is arguably the most important sense for humans. Imagine if we could make machines “see” and interact with the world around them with close-to-human accuracy. Well, with the advances in Computer Vision and Deep Learning we can.
In this course, Computer Vision: Executive Briefing, you will see a high level overview of what computer vision is all about. Frist, you will learn why Computer Vision matters. Next, you will see how it works. Finally, you will discover why it is changing the world. By the end of this course, you will gain a new understanding on how Computer Vision can enhance your existing products and services.
Register for this course and see more details by visiting:
OpenCourser.com/course/cdcjks/computer
What's inside
Syllabus
Computer Vision: Why It Matters and How It Is Changing the World
The Evolution of Computer Vision
Exploring and Finding New Opportunities with Computer Vision
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Concepts and applications are presented and explained clearly
Surveys what's new and essential in computer vision
Appropriate for beginners with no prior knowledge of computer vision
Save this course
Save Computer Vision: Executive Briefing to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Computer Vision: Executive Briefing with these
activities:
Attend Computer Vision Meetups
Show steps
Meetups can help you connect with professionals and discover emerging computer vision trends.
Browse courses on
Computer Vision
Show steps
-
Find local computer vision meetups.
-
Attend a meetup.
-
Network with professionals.
Review 'Computer Vision: A Modern Approach'
Show steps
Computer Vision: A Modern Approach provides an in-depth exploration of computer vision fundamentals, giving you a firm understanding before moving into the online course.
View
Probability and Statistics for Computer Science
on Amazon
Show steps
-
Read the first five chapters.
-
Complete the exercises at the end of each chapter.
Review 'Deep Learning for Computer Vision'
Show steps
This book provides practical guidance and theoretical explanations on computer vision and deep learning applications.
View
Concurrent NumPy in Python: Faster NumPy With...
on Amazon
Show steps
-
Read the first five chapters.
-
Complete the exercises at the end of each chapter.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Complete Coursera's Computer Vision Specialization
Show steps
Coursera's Computer Vision Specialization for deep learning will help you practice and deepen your theoretical understanding of computer vision.
Browse courses on
Computer Vision
Show steps
-
Enroll in the Coursera Computer Vision Specialization.
-
Complete all the courses in the specialization.
Follow Tutorials on TensorFlow and OpenCV
Show steps
Following tutorials on TensorFlow and OpenCV can provide practical, hands-on experience to deepen your understanding.
Browse courses on
Computer Vision
Show steps
-
Identify a computer vision task you want to implement.
-
Find tutorials on TensorFlow and OpenCV that cover the task.
-
Follow the tutorial steps and implement the task.
Write a White Paper on Computer Vision Applications in Your Industry
Show steps
Researching and writing a white paper on computer vision applications in your industry will give you deep insights into the subject.
Browse courses on
Computer Vision
Show steps
-
Choose an aspect of using computer vision within your industry.
-
Research different ways in which computer vision can address challenges in that area.
-
Compile research and insights into a 5-page white paper.
Contribute to an Open Source Computer Vision Project
Show steps
Contributing to an open source computer vision project will allow you to connect with developers and deepen your understanding through collaborative problem solving.
Browse courses on
Computer Vision
Show steps
-
Find an open source computer vision project to contribute to.
-
Identify an area where you can contribute your skills.
-
Reach out to the project maintainers and propose your contribution.
Build a Portfolio of Computer Vision Projects
Show steps
Developing a portfolio of computer vision projects will provide practical, hands-on experience to solidify your understanding of the subject.
Browse courses on
Computer Vision
Show steps
-
Identify a computer vision task you want to implement.
-
Gather the necessary data and resources.
-
Build and train a computer vision model.
-
Deploy the model and evaluate its performance.
Develop a Computer Vision Solution for a Real-World Problem
Show steps
Developing a computer vision solution for a real-world problem will allow you to integrate knowledge and skills from this course in a practical setting.
Browse courses on
Computer Vision
Show steps
-
Identify a real-world problem that can be solved using computer vision.
-
Gather the necessary data and resources for your project.
-
Develop and train a computer vision model for your project.
-
Deploy your model and evaluate its performance.
Attend Computer Vision Meetups
Show steps
Meetups can help you connect with professionals and discover emerging computer vision trends.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Find local computer vision meetups.
- Attend a meetup.
- Network with professionals.
Review 'Computer Vision: A Modern Approach'
Show steps
Computer Vision: A Modern Approach provides an in-depth exploration of computer vision fundamentals, giving you a firm understanding before moving into the online course.
View
Probability and Statistics for Computer Science
on Amazon
Show steps
Show steps
Show steps
- Read the first five chapters.
- Complete the exercises at the end of each chapter.
Review 'Deep Learning for Computer Vision'
Show steps
This book provides practical guidance and theoretical explanations on computer vision and deep learning applications.
View
Concurrent NumPy in Python: Faster NumPy With...
on Amazon
Show steps
Show steps
Show steps
- Read the first five chapters.
- Complete the exercises at the end of each chapter.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Complete Coursera's Computer Vision Specialization
Show steps
Coursera's Computer Vision Specialization for deep learning will help you practice and deepen your theoretical understanding of computer vision.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Enroll in the Coursera Computer Vision Specialization.
- Complete all the courses in the specialization.
Follow Tutorials on TensorFlow and OpenCV
Show steps
Following tutorials on TensorFlow and OpenCV can provide practical, hands-on experience to deepen your understanding.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Identify a computer vision task you want to implement.
- Find tutorials on TensorFlow and OpenCV that cover the task.
- Follow the tutorial steps and implement the task.
Write a White Paper on Computer Vision Applications in Your Industry
Show steps
Researching and writing a white paper on computer vision applications in your industry will give you deep insights into the subject.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Choose an aspect of using computer vision within your industry.
- Research different ways in which computer vision can address challenges in that area.
- Compile research and insights into a 5-page white paper.
Contribute to an Open Source Computer Vision Project
Show steps
Contributing to an open source computer vision project will allow you to connect with developers and deepen your understanding through collaborative problem solving.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Find an open source computer vision project to contribute to.
- Identify an area where you can contribute your skills.
- Reach out to the project maintainers and propose your contribution.
Build a Portfolio of Computer Vision Projects
Show steps
Developing a portfolio of computer vision projects will provide practical, hands-on experience to solidify your understanding of the subject.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Identify a computer vision task you want to implement.
- Gather the necessary data and resources.
- Build and train a computer vision model.
- Deploy the model and evaluate its performance.
Develop a Computer Vision Solution for a Real-World Problem
Show steps
Developing a computer vision solution for a real-world problem will allow you to integrate knowledge and skills from this course in a practical setting.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Identify a real-world problem that can be solved using computer vision.
- Gather the necessary data and resources for your project.
- Develop and train a computer vision model for your project.
- Deploy your model and evaluate its performance.
Career center
Learners who complete Computer Vision: Executive Briefing will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
As a Computer Vision Engineer, you will develop and implement solutions that provide machines with visual perception capabilities. Your work can be applied across various industries, including healthcare, manufacturing, and automotive. This course in Computer Vision will provide you with a strong foundation in the subject, enabling you to excel in this emerging field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are in high demand as businesses aim to leverage data-driven solutions. This course in Computer Vision will equip you with valuable knowledge and skills in this field, providing you with a competitive edge. It will equip you to develop and deploy effective machine learning algorithms for various applications, including image recognition and object detection.
Data Scientist
Data Scientist
Data Scientists are responsible for extracting insights from data to support decision-making. By taking this course in Computer Vision, you will gain expertise in a specialized area of data science, making you a valuable asset to any organization looking to harness the power of visual data.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop AI systems. This course in Computer Vision will provide you with a deep understanding of computer vision techniques, which are a critical component of many AI applications. It will equip you with the skills to create AI systems that can perceive and interact with the visual world.
Robotics Engineer
Robotics Engineer
Robotics Engineers develop and maintain robots. This course in Computer Vision will provide you with a solid understanding of computer vision algorithms, which are essential for enabling robots to navigate, interact with their surroundings, and perform complex tasks.
Product Manager
Product Manager
Product Managers are responsible for the development, launch, and lifecycle of products. Understanding computer vision will provide you with a deeper understanding of the technological landscape, enabling you to make informed decisions and create products that leverage visual data. This course will provide you with insights into the capabilities and limitations of computer vision.
Software Developer
Software Developer
Software Developers design, develop, and maintain software systems. This course in Computer Vision will provide you with a solid foundation in the field, enabling you to develop applications that incorporate computer vision capabilities. You will learn how to use computer vision algorithms and techniques to enhance the functionality and user experience of your software.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve efficiency and effectiveness. With a background in Computer Vision, you can bring valuable insights to the table when it comes to leveraging visual data for business intelligence and process optimization.
UX Designer
UX Designer
UX Designers create user interfaces and experiences for products and services. Understanding computer vision can enhance your ability to design visually appealing and intuitive interfaces that leverage visual data effectively.
Technical Writer
Technical Writer
Technical Writers create documentation and other materials to communicate technical information. Specializing in computer vision will enable you to clearly and effectively explain complex concepts to a wide range of audiences, from users to developers.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. By taking this course in Computer Vision, you will gain a thorough understanding of the field, which will enable you to effectively manage projects that involve computer vision applications.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. This course in Computer Vision will provide you with valuable knowledge and skills in the field, enabling you to develop and maintain systems that incorporate computer vision capabilities.
Data Entry Clerk
Data Entry Clerk
Data Entry Clerks input data into computer systems. While this role does not directly involve computer vision, taking this course may enhance your understanding of how data is processed and used, which can be beneficial in your work.
Customer Service Representative
Customer Service Representative
Customer Service Representatives provide support to customers. This course in Computer Vision may provide you with a deeper understanding of how technology can be used to enhance customer experiences, which can be beneficial in this role.
Administrative Assistant
Administrative Assistant
Administrative Assistants provide administrative and clerical support. While this role does not directly involve computer vision, taking this course may enhance your understanding of how technology is used in the workplace, which can be beneficial in your work.
For more career information including salaries, visit:
OpenCourser.com/course/cdcjks/computer
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Computer Vision: Executive Briefing.
Provides a comprehensive and up-to-date overview of the field of computer vision, covering both the theoretical foundations and the practical applications. Suitable as a textbook for advanced undergraduate and graduate students, this book is also a valuable resource for researchers and practitioners in the field.
Save
Provides a comprehensive overview of the field of computer vision, covering both the theoretical foundations and the practical applications. Suitable as a textbook for advanced undergraduate and graduate students, this book is also a valuable resource for researchers and practitioners in the field.
Provides a comprehensive overview of computer vision algorithms and applications. It valuable resource for anyone interested in learning more about this field.
Provides a comprehensive overview of the field of machine learning and pattern recognition, covering both the theoretical foundations and the practical applications. Suitable as a textbook for advanced undergraduate and graduate students, this book is also a valuable resource for researchers and practitioners in the field.
Provides a comprehensive introduction to computer vision. It valuable resource for anyone interested in learning more about this field.
Save
Provides a comprehensive overview of machine learning for computer vision. It valuable resource for anyone interested in learning more about this field.
Provides a practical guide to building deep learning models for computer vision tasks. Suitable for intermediate-level learners, this book focuses on the application of deep learning for image classification, object detection, segmentation, and other tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/cdcjks/computer
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Time
29 hours
Level
Introductory
Via
Pluralsight
Instructor
Xavier Morera
Language
English
Good to know
Concepts and applications are presented and explained clearly
Surveys what's new and essential in computer vision
Appropriate for beginners with no prior knowledge of computer vision
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