Informações sobre o curso

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Curso 6 de 6 no
Prazos flexíveis
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Nível iniciante
Aprox. 15 horas para completar
Inglês
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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
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 15 horas para completar
Inglês
Legendas: Inglês

oferecido por

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IBM

Programa - O que você aprenderá com este curso

Classificação do conteúdoThumbs Up93%(1,067 classificações)Info
Semana
1

Semana 1

1 hora para concluir

Introduction to Computer Vision

1 hora para concluir
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

1 hora para concluir
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

1 hora para concluir
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

Semana 2

4 horas para concluir

Image Processing using IBM Watson and Python

4 horas para concluir
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

Semana 3

4 horas para concluir

Image Processing using OpenCV and Python

4 horas para concluir
3 vídeos (Total 22 mín.), 2 leituras, 5 testes
3 videos
Getting started with Cascade Filters9min
Detecting Objects 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

Semana 4

3 horas para concluir

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

3 horas para concluir
2 leituras
2 leituras
Project: How to deploy your VR Classifier10min
Task 3: Part C - Instructions for Obtaining your API Key2min
1 exercício prático
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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

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.

  • 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).

  • 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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