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Inicio 4 June 2026 10:02

Fin 4 June 2026

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Computer Vision and Image Processing Fundamentals

Tenga en cuenta: Completar este curso de IBM con éxito le brinda la oportunidad de obtener una insignia de habilidades — una credencial sofisticada, verificable y digital que describe los conocimientos y habilidades que ha adquirido. ¡Inscríbase, complete el curso y reclame su insignia para aprender más! La Visión por Computadora se encuentra en la.
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Resumen

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Completing this IBM course successfully gives you the opportunity to earn a skill badge — a sophisticated, verifiable, and digital credential outlining the knowledge and abilities you've gained. Enroll, complete the course, and claim your badge to learn more!

Computer Vision stands at the forefront of the most thrilling domains in Machine Learning, computer science, and artificial intelligence, with its implications spanning sectors like autonomous vehicles, robotics, augmented reality, and facial recognition for law enforcement.

In this beginner-level course, delve into the realm of computer vision and explore its diverse applications across numerous fields.

Throughout this course, you'll engage with Python, Watson AI, and OpenCV for image processing and interact with image classification models. Moreover, you'll have the chance to construct, train, and evaluate your very own custom image classifiers.

This is a practical course packed with various labs and exercises.

All laboratory work will be conducted in the Cloud, where you'll gain complimentary access to a Cloud environment.

By the conclusion of this course, participants will have the skills to create their computer vision web application and launch it in the Cloud.

No prior experience in Machine Learning or Computer Vision is required for this course. Nonetheless, a basic understanding of the Python programming language is essential.

University:

Provider:

edX.

Categories:

Python Courses, Machine Learning Courses, Computer Vision Courses, Cloud Computing Courses, OpenCV Courses, Digital Image Processing Courses.


Impartido por

Yi Leng Yao and Sacchit Chadha


Materias