Este curso faz parte do Certificado Profissional IA aplicada da IBM

Yi Leng Yao +1 mais instrutores

oferecido por

Certificado Profissional IA aplicada da IBMIBM

Informações sobre o curso

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Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.
As part of this course you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers. 

This is a hands-on course and involves several labs and exercises. All the labs will be performed on the Cloud and you will be provided access to a Cloud environment completely free of charge. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.

This course does not require any prior Machine Learning or Computer Vision experience, however some knowledge of Python programming language is necessary.

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Curso 6 de 6 no

IA aplicada da IBM

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 16 horas para completar

Inglês

Legendas: Francês, Português (Brasil), Russo, Inglês, Espanhol

Habilidades que você terá

Artificial Intelligence (AI)OpencvComputer Visionwatson

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Curso 6 de 6 no

IA aplicada da IBM

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 16 horas para completar

Inglês

Legendas: Francês, Português (Brasil), Russo, Inglês, Espanhol

Instrutores

Classificação do instrutor

4.55/5 (52 classificações)

Yi Leng Yao

MSc., Data Scientist, Software Engineer

14,465 aprendizes

2 Cursos

Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

14,465 aprendizes

2 Cursos

oferecido por

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.

Programa - O que você aprenderá com este curso

Classificação do conteúdo93%(1,376 classificações)

Semana

Semana 1

1 hora para concluir

Introduction to Computer Vision

This short module will introduce you to the field of computer vision. We will cover the course expectations and highlight how computer vision is making an impact across various industries. You will also be introduced to the tools used in computer vision.

1 hora para concluir

5 vídeos (Total 18 mín.), 2 leituras, 2 testes

5 videos

Welcome to Introduction to Computer Vision2min

Introduction to Computer Vision4min

Applications of Computer Vision3min

Recent Research in Computer Vision4min

Brainstorming Your Own Applications3min

2 leituras

Welcome2min

Articles10min

2 exercícios práticos

Practice Assessment8min

Graded - (10%) Overview of Computer Vision and its Applications20min

1 hora para concluir

Image Classification with IBM Watson

In this module, we start by introducing the topic of image classification. We will then talk about Watson Visual Recognition, an industry-leading service provided by IBM that is used for image classification. Finally, you will create your instance of Watson Visual Recognition and will use it to upload images and perform image classification. Let's get started!

1 hora para concluir

6 vídeos (Total 23 mín.)

6 videos

Image Classification with IBM Watson6min

Watson Visual Recognition in Action2min

Getting Started with Watson Visual Recognition2min

Classification with Watson Visual Recognition2min

Working with Custom Classifiers5min

Custom Image Classifiers with IBM Watson4min

2 exercícios práticos

Practice Assessment8min

Graded - (10%) Classifiers with IBM Watson VR - Part 120min

1 hora para concluir

Custom Classifiers with Watson Visual Recognition

This module delves deeper into IBM Watson's image classifiers. You will learn to create a custom classifier in your Visual Recognition Instance and will train and test your custom classifier to classify dog images into different breeds.

1 hora para concluir

3 vídeos (Total 8 mín.), 1 leitura, 1 teste

3 videos

Create, Train and Test a Visual Recognition Model2min

Classifying with Negative Examples2min

Retrain a Visual Recognition Model with Negative Images2min

1 leituras

Industry Case Studies with Custom Image Classifiers10min

1 exercício prático

Graded - (10%) Classifiers with IBM Watson VR - Part 225min

Semana

Semana 2

3 horas para concluir

Image Processing using IBM Watson and Python

This week, you will learn about image processing and object detection. You will then use Python and the Watson Visual Recognition API to perform image classification.

3 horas para concluir

3 vídeos (Total 15 mín.), 3 leituras, 4 testes

3 videos

Introduction on Using the Watson APIs1min

Using Watson Visual Recognition7min

Applications of Watson Visual Recognition6min

3 leituras

[Important Reminder] : Completion of Labs2min

Instruction for Obtaining your API Key2min

Articles10min

2 exercícios práticos

Practice Assessment20min

Graded - (20%) Image Processing using IBM Watson40min

Semana

Semana 3

5 horas para concluir

Image Processing using OpenCV and Python

This week, you will learn how to use the Haar Cascade classifiers for object images. You will then do a variety of hands-on labs that will teach you how to perform license plate recognition using the Tesseract OCR, colour quantization, image compression, and image processing. While completing these labs, you will also learn how to use the OpenCV package in Python

5 horas para concluir

3 vídeos (Total 14 mín.), 2 leituras, 6 testes

3 videos

Getting Started with OpenCV in Python6min

Object Detection with Haar Classifiers3min

Object Detection with OpenCV3min

2 leituras

[Important Reminder]: Completion of Labs2min

Instruction for Obtaining your API Key2min

2 exercícios práticos

Practice Assessment20min

Graded - (20%) Image Processing using OpenCV40min

Semana

Semana 4

5 horas para concluir

Project: Building a Web-Based Computer Vision App using IBM Cloud

In the final week of this course, you will build a computer vision app that you will deploy on the web. For the project, you will create a custom classifier, train it and connect it to your app. You will then deploy your app to the cloud for making it accessible to anyone around the globe!

5 horas para concluir

1 exercício prático

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Sobre Certificado Profissional IA aplicada da IBM

Artificial intelligence (AI) is transforming our world. Whether you’re a student, a 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 developer.

This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions. Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.

Perguntas Frequentes – FAQ

Quando terei acesso às palestras e às tarefas?
O acesso a palestras e tarefas depende do tipo de inscrição. Se você participar de um curso como ouvinte, você poderá ver quase todo o conteúdo do curso gratuitamente. Para acessar tarefas valendo nota e obter um Certificado, você precisará adquirir a experiência do Certificado, durante ou após a participação como ouvinte. Se você não vir a opção de participar como ouvinte:
o curso pode não oferecer essa opção. Você pode experimentar um teste gratuito ou solicitar o auxílio financeiro.
Em vez disso, o curso pode oferecer 'Curso completo, sem Certificado'. Com esta opção, é possível ver todo o conteúdo do curso, enviar as avaliações necessárias e obter uma nota final. Isso também significa que você não poderá comprar uma experiência de Certificado.
O que recebo ao me inscrever para este certificado?
Quando você se inscreve em um curso, ganha acesso a todos os cursos no certificado e obtém um certificado quando completar o trabalho. Seu certificado eletrônico pode ser adicionado à sua página de Participações, de onde você pode imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, pode participar como ouvinte sem custo.
What will I be able to do after completing this course?
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
Are there any software or hardware pre-requistes for this course?
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).
Are there any pre-requisties or prior experience necssary for this course?
Some programming knowledge, especially with Python is needed to complete this course. The following course equips you with the necessary Python background:
- Python for Data Science

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Introduction to Computer Vision with Watson and OpenCV