Computer Vision Course by IBM

Course Description

Embark on an exciting journey into the world of Computer Vision with this introductory course offered by IBM. This cutting-edge field, at the intersection of Machine Learning, computer science, and Artificial Intelligence, opens doors to countless applications across various industries. From self-driving cars and robotics to augmented reality and face detection in law enforcement, Computer Vision is revolutionizing the way we interact with technology.

This comprehensive computer-vision-course is designed to provide you with a solid foundation in the fundamentals of Computer Vision, leveraging the power of Python programming, Watson AI, and OpenCV. Through a series of engaging hands-on labs and exercises, you'll gain practical experience in image processing and learn to interact with image classification models. The course goes beyond theory, allowing you to build, train, and test your own custom image classifiers, giving you a true taste of real-world AI applications.

What students will learn from the course

  • Explore various computer vision applications across multiple industries
  • Master image processing and formation capabilities powered by AI
  • Utilize Python, Watson AI, and OpenCV for image processing and classification
  • Build, train, and test custom image classifiers
  • Develop and deploy a computer vision web app to the Cloud
  • Gain hands-on experience with machine-learning and AI applications
  • Understand the principles behind self-driving cars, robotics, and augmented reality
  • Learn about face detection techniques used in law enforcement

Prerequisites

This introductory course is designed for beginners, with no prior Machine Learning or Computer Vision experience required. However, some knowledge of Python programming language is necessary to fully engage with the course material and complete the hands-on exercises.

Course Content

  • Introduction to Computer Vision and its applications
  • Fundamentals of image processing and AI-powered image formation
  • Python programming for Computer Vision tasks
  • Utilizing Watson AI and OpenCV for image processing and classification
  • Building and training custom image classifiers
  • Hands-on labs and exercises in a Cloud environment
  • Creating and deploying a computer vision web app
  • Real-world applications in self-driving cars, robotics, and augmented reality
  • Face detection techniques and their use in law enforcement

Who this course is for

  • Aspiring AI and Machine Learning professionals
  • Software developers looking to expand their skillset
  • Students interested in cutting-edge technology
  • Professionals in industries adopting Computer Vision solutions
  • Anyone curious about the technology behind self-driving cars, facial recognition, and augmented reality

Real-world Applications

The skills acquired in this course have immediate real-world applications. Graduates can apply their knowledge to:

  • Develop image recognition systems for security and surveillance
  • Create augmented reality applications for entertainment or education
  • Contribute to self-driving car technology
  • Implement facial recognition systems for various industries
  • Enhance robotics systems with visual perception capabilities
  • Develop medical imaging analysis tools
  • Create smart retail solutions using computer vision
  • Improve quality control processes in manufacturing

Upon successful completion of this IBM course, learners will earn a skill badge – a detailed, verifiable, and digital credential that showcases the knowledge and skills acquired. This badge can be a valuable addition to your professional profile, demonstrating your expertise in Computer Vision to potential employers or clients.

Don't miss this opportunity to dive into the fascinating world of Computer Vision and gain practical, in-demand skills that can propel your career forward in the AI and Machine Learning industry.