Informações sobre o curso
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Curso 6 de 6 no

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 14 horas para completar

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

Inglês

Legendas: Inglês

Habilidades que você terá

Artificial Intelligence (AI)OpencvComputer Visionwatson

Curso 6 de 6 no

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 14 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
1 hora para concluir

Introduction to Computer Vision

5 vídeos (Total 19 mín.), 2 leituras, 2 testes
5 videos
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

6 vídeos (Total 24 mín.), 1 leitura, 2 testes
6 videos
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
1 leituras
LAB: Classifying Images with IBM Watson30min
2 exercícios práticos
Practice Assessment8min
Graded - (10%) Classifiers with IBM Watson VR - Part 120min
1 hora para concluir

Custom Classifiers with Watson Visual Recognition

3 vídeos (Total 8 mín.), 2 leituras, 1 teste
3 videos
Classifying with Negative Examples2min
Retrain a Visual Recognition Model with Negative Images2min
2 leituras
Industry Case Studies with Custom Image Classifiers10min
LAB: Testing and Training a Custom Classifier30min
1 exercício prático
Graded - (10%) Classifiers with IBM Watson VR - Part 225min
Semana
2
4 horas para concluir

Image Processing using IBM Watson and Python

4 vídeos (Total 23 mín.), 3 leituras, 4 testes
4 videos
Using Watson Visual Recognition10min
Applications of Watson Visual Recognition6min
Using the Watson VR API with Python4min
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
3
4 horas para concluir

Face Detection and Image Processing using OpenCV and Python

3 vídeos (Total 22 mín.), 2 leituras, 5 testes
3 videos
Detecting Faces with Cascade Filters9min
Detecting Eyes with Cascade Filters6min
2 leituras
[Important Reminder]: Completion of Labs2min
Instruction for Obtaining your API Key2min
2 exercícios práticos
Practice Assessment20min
Graded - (20%) Face Detection and Image Processing using OpenCV40min
Semana
4
3 horas para concluir

Project: Building a Web-Based Computer Vision App

2 leituras, 3 testes
2 leituras
Project: How to deploy your VR Classifier10min
Instruction for Obtaining your API Key2min
1 exercício prático
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4.5
22 avaliaçõesChevron Right

Principais avaliações do 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.

Instrutores

Avatar

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
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Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

Sobre 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....

Sobre Certificado Profissional 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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • 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.

  • 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).

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