EdX

Fundamentos de la Visión Artificial con Watson y OpenCV (edX)

Offered by IBM,
Fundamentos de la Visión Artificial con Watson y OpenCV (edX)

Aprende sobre la visión por computadora, uno de los campos más interesantes del aprendizaje automático, inteligencia artificial y ciencias de la computación. La visión por computadora es uno de los campos más interesantes en aprendizaje automático, ciencias de la computación e inteligencia artificial. Tiene aplicaciones en muchas industrias, como automóviles autónomos, robótica, realidad aumentada, detección de rostros en agencias de aplicación de la ley.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

En este curso introductorio, aprenderás sobre la visión por computadora y sus diversas aplicaciones en muchas industrias. Como parte de este curso, utilizarás Python, Watson AI y OpenCV para procesar imágenes e interactuar con modelos de clasificación de imágenes. También crearás, entrenaras y probarás tus propios clasificadores de imágenes personalizados.
Este es un curso práctico e involucra varios laboratorios y ejercicios. Todos los laboratorios se realizarán en la Nube y se le proporcionará acceso a un entorno de Nube completamente gratis.
Al final del curso, crearás tu propia aplicación web de visión por computadora y la implementarás en la nube.
Este curso no requiere ninguna experiencia previa de Machine Learning o Computer Vision, sin embargo, se necesita cierto conocimiento del lenguaje de programación Python.
This course is part of the Inteligencia artificial aplicada Professional Certificate.

What you'll learn

  • Diversas aplicaciones de visión por computadora en muchas industrias
  • Capacidades de procesamiento y formación de imágenes impulsadas por IA
  • Utilizar Python, Watson AI y OpenCV para procesar imágenes e interactuar con modelos de clasificación de imágenes.
  • Crear, entrenar y experimentar tus propios clasificadores de imagen personalizados
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Computer Vision Fundamentals with Watson and OpenCV (edX) EdX
IBM

Computer Vision Fundamentals with Watson and OpenCV (edX)

Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science. Computer Vision is one of the most exciting fields in Machine Learning, computer science and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies.

Self Paced
Self-Paced
Building AI Applications with Watson APIs (Coursera) Coursera
IBM

Building AI Applications with Watson APIs (Coursera)

A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.

Jun 24th 2024
5-12 Weeks
IBM Cloud Essentials (Coursera) Coursera
IBM

IBM Cloud Essentials (Coursera)

This course introduces you to the IBM Cloud. You will learn about the many offerings and services on IBM Cloud that make it the most open and secure public cloud for developers and enterprises. The course begins with an introduction to the IBM Cloud platform which covers topics such as data center locations and configuring identity and access management. You will discover the various Infrastructure-as-a-Service (IaaS) options available on IBM Cloud. Next, you will learn about the deployment options on IBM Cloud; this includes topics such as Containers, Kubernetes, and OpenShift.

Jun 3rd 2024
5-12 Weeks
AI Chatbots without Programming (edX) EdX
IBM

AI Chatbots without Programming (edX)

Chatbots are increasingly in demand among global businesses. This course will teach you how to build, analyze, deploy and monetize chatbots - with the help of IBM Watson and the power of AI. Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Self Paced
Self-Paced
AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX) EdX
Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems. In this course you will learn the basics of several machine learning topics to help you solve real life challenges. Unsupervised learning techniques such as clustering and dimensionality reduction are useful to make sense of large and/or high dimensional datasets that are not annotated. Deep learning is a supervised learning technique that is useful to train neural networks to solve more complicated classification and regression tasks. Finally, reinforcement learning techniques can be used to train AI agents that interact with an environment.

Self Paced
Self-Paced
AI in Practice: Preparing for AI (edX) EdX
Delft University of Technology,DelftX

AI in Practice: Preparing for AI (edX)

Learn to recognize and understand the implications of Artificial Intelligence for organizations, and the importance of compliance and ethics when AI is applied in practice. This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning about the benefits and implications of AI when applied in practical settings.

Self Paced
Self-Paced
Assessment Design with AI (edX) EdX
Georgia Institute of Technology,GTx

Assessment Design with AI (edX)

Learn how to adjust your assessments to thrive—not just survive—in a world of pervasive conversational AI like ChatGPT. Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact. In this course, teachers will learn how to adjust to the existence of these new technologies.

Self Paced
Self-Paced