Acerca de este Curso
40,341 vistas recientes

Curso 6 de 6 en

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 14 horas para completar

Sugerido: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Artificial Intelligence (AI)OpencvComputer Visionwatson

Curso 6 de 6 en

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 14 horas para completar

Sugerido: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

Introduction to Computer Vision

5 videos (Total 19 minutos), 2 lecturas, 2 cuestionarios
5 videos
Introduction to Computer Vision4m
Applications of Computer Vision3m
Recent Research in Computer Vision4m
Brainstorming Your Own Applications3m
2 lecturas
Welcome2m
Articles10m
2 ejercicios de práctica
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
1 hora para completar

Image Classification with IBM Watson

6 videos (Total 24 minutos), 1 lectura, 2 cuestionarios
6 videos
Watson Visual Recognition in Action2m
Getting Started with Watson Visual Recognition2m
Classification with Watson Visual Recognition2m
Working with Custom Classifiers5m
Custom Image Classifiers with IBM Watson4m
1 lectura
LAB: Classifying Images with IBM Watson30m
2 ejercicios de práctica
Practice Assessment8m
Graded - (10%) Classifiers with IBM Watson VR - Part 120m
1 hora para completar

Custom Classifiers with Watson Visual Recognition

3 videos (Total 8 minutos), 2 lecturas, 1 cuestionario
3 videos
Classifying with Negative Examples2m
Retrain a Visual Recognition Model with Negative Images2m
2 lecturas
Industry Case Studies with Custom Image Classifiers10m
LAB: Testing and Training a Custom Classifier30m
1 ejercicio de práctica
Graded - (10%) Classifiers with IBM Watson VR - Part 225m
Semana
2
4 horas para completar

Image Processing using IBM Watson and Python

4 videos (Total 23 minutos), 3 lecturas, 4 cuestionarios
4 videos
Using Watson Visual Recognition10m
Applications of Watson Visual Recognition6m
Using the Watson VR API with Python4m
3 lecturas
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2 ejercicios de práctica
Practice Assessment20m
Graded - (20%) Image Processing using IBM Watson40m
Semana
3
4 horas para completar

Face Detection and Image Processing using OpenCV and Python

3 videos (Total 22 minutos), 2 lecturas, 5 cuestionarios
3 videos
Detecting Faces with Cascade Filters9m
Detecting Eyes with Cascade Filters6m
2 lecturas
[Important Reminder]: Completion of Labs2m
Instruction for Obtaining your API Key2m
2 ejercicios de práctica
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using OpenCV40m
Semana
4
3 horas para completar

Project: Building a Web-Based Computer Vision App

2 lecturas, 3 cuestionarios
2 lecturas
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m
1 ejercicio de práctica
Opt-in to receive your badge!
4.5
24 revisionesChevron Right

Principales revisiones sobre Introduction to Computer Vision with Watson and OpenCV

por MONov 13th 2019

Thoroughly enjoyed this course. Learned about OpenCV a bit and added to my small knowledge of Python. The ability to know how to train Watson to do optical recognizition will be invaluable.

por SSAug 20th 2019

This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.

Instructores

Avatar

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
Avatar

Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

Acerca de IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Acerca de Certificado profesional de IBM Applied AI

Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer. It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web. Rather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions....
IBM Applied AI

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

  • After completing this course you will be able to:

    ●      explain what computer vision is and its applications

    ●      understand the roles of Python, OpenCV and IBM Watson in computer vision

    ●      classify images utilizing IBM Watson, Python, and OpenCV

    ●      build and train custom image classifiers using Watson Visual Recognition API

    ●      process images in Python using OpenCV

    ●      create an interactive computer vision web application and deploy it to the cloud

  • No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.