Fundamentos de la Visión Artificial con Watson y OpenCV

via edX

edX

294 Cursos


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Resumen

Discover the world of computer vision with the online course "Fundamentals of Computer Vision with Watson and OpenCV," offered through edX. This introductory program immerses you in one of the most fascinating fields of machine learning, computer science, and artificial intelligence, opening doors to revolutionary applications in industries such as automotive, robotics, and augmented reality, including face detection for security agencies.

By enrolling in this course, you will not only gain fundamental knowledge about computer vision but will also have the opportunity to work with Python, Watson AI, and OpenCV to process images and work with classification models. Throughout the program, you will spend time creating, training, and testing custom image classifiers, allowing you to practically apply what you've learned in various labs and exercises.

In addition, this course provides free access to a cloud environment where you will perform all the labs, enabling you to develop and deploy your own computer vision web application upon completing the program. While prior knowledge of Machine Learning or Computer Vision is not required, a basic understanding of Python is necessary.

As an added value, students who successfully complete this course will receive a digital badge from IBM, a detailed and verifiable credential that demonstrates the skills acquired. However, take into account that, although you will be able to interact with other students in the discussion forums, these are no longer supervised by the IBM team. For technical questions related to the course, you will need to contact edX support directly.

Related Categories: OpenCV Courses, IBM Watson Courses.

Programa de estudio


Enseñado por

Yi Leng Yao, Sacchit Chadha and Nayef Abou Tayoun


Etiquetas

united states

provider edX

edX

294 Cursos


edX

pricing Free Online Course (Audit)
language Spanish
duration 14 weeks, 7-14 hours a week
sessions On-Demand
level Beginner