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Rogerio Guimaraes
Neste projeto de duas horas, você entenderá como o Amazon Rekognition funciona e aprenderá como usar o AWS SDK para analisar rostos, detectar objetos e rótulos em cenas de imagem, moderar imagens, identificar celebridades e reconhecer e comparar rostos usando inteligência artificial.
O Amazon Rekognition é um dos serviços de Inteligência Artificial mais usados na AWS e popular para analisar imagens com grande confiança e baixo custo.
Depois de concluir este projeto, você poderá usar o Amazon Rekognition para analisar suas próprias imagens em apenas algumas etapas.
Register for this course and see more details by visiting:
OpenCourser.com/course/zgho8n/reconhecimento
What's inside
Syllabus
Project Overview
Neste projeto de duas horas, você entenderá como o Amazon Rekognition funciona e aprenderá como usar o AWS SDK para analisar rostos, detectar objetos e rótulos em cenas de imagem, moderar imagens, identificar celebridades e reconhecer e comparar rostos usando inteligência artificial.O Amazon Rekognition é um dos serviços de Inteligência Artificial mais usados na AWS e popular para analisar imagens com grande confiança e baixo custo.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides learners with a comprehensive overview of the Amazon Rekognition service
Helps students leverage AWS SDK to analyze images for various use cases
Develops skills in image analysis using AI
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Save Reconhecimento Facial e de Objetos com o Amazon Rekognition to your list so you can find it easily later:
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Reviews summary
Comprehensive insight into rekognition
This course is a great choice for those seeking to understand Amazon Rekognition and its applications. The course content and labs provide a comprehensive overview of the service and its capabilities.
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Reconhecimento Facial e de Objetos com o Amazon Rekognition with these
activities:
Aprimorar habilidades de programação em Python
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Faça exercícios e desafios de codificação
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Construa pequenos projetos para praticar a aplicação de conceitos
Compilar e revisar materiais do curso
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Compilar e revisar os materiais do curso ajudará a fortalecer sua compreensão do conteúdo.
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Baixe todos os materiais do curso
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Organize e revise os materiais regularmente
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Aprimorar habilidades de programação em Python
Show steps
Aprimorar suas habilidades de programação em Python fortalecerá sua capacidade de implementar soluções de IA.
Browse courses on
Python
Show steps
Show steps
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- Faça exercícios e desafios de codificação
- Construa pequenos projetos para praticar a aplicação de conceitos
Compilar e revisar materiais do curso
Show steps
Compilar e revisar os materiais do curso ajudará a fortalecer sua compreensão do conteúdo.
Show steps
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- Baixe todos os materiais do curso
- Organize e revise os materiais regularmente
Show all two activities
Career center
Learners who complete Reconhecimento Facial e de Objetos com o Amazon Rekognition will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design and build computer vision systems that can analyze images and videos. Knowledge of artificial intelligence and machine learning is an integral part of this role. In the Amazon Rekognition course, students will learn how to use the AWS SDK to analyze images using AI and machine learning. The course will provide students with the necessary skills to analyze images, detect and recognize objects, and identify celebrities. These skills will help students build a foundation for a career as a Computer Vision Engineer.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers implement machine learning algorithms to address complex problems in a variety of industries. The Amazon Rekognition course will provide Machine Learning Engineers with the knowledge necessary to use the AWS SDK to analyze images using machine learning. The course will also introduce students to how the Amazon Rekognition software operates, which can be useful for Machine Learning Engineers working with image data or performing tasks involving object recognition. Overall, the Amazon Rekognition course will help Machine Learning Engineers build a foundation in image analysis and machine learning algorithms.
Data Scientist
Data Scientist
Data Scientists analyze data to extract knowledge using artificial intelligence and machine learning to solve problems. The Amazon Rekognition course by Coursera Project Network teaches students how to use AWS SDK to analyze images, which is a useful skill to have as a Data Scientist. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of Data Science applications. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Data Scientists working with image data or performing tasks involving object recognition.
Data Analyst
Data Analyst
Data Analysts collect, analyze, interpret, and present data. The Amazon Rekognition course may be useful for Data Analysts interested in working with image data. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of data analysis tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Data Analysts working with image data or performing tasks involving object recognition.
Product Manager
Product Manager
Product Managers plan, develop, and launch new products and services. The Amazon Rekognition course may be useful for Product Managers working on products that involve image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of product development tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Product Managers working with image data or developing products involving object recognition.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. The Amazon Rekognition course may be useful for Business Analysts working on projects that involve image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of business analysis tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Business Analysts working with image data or performing tasks involving object recognition.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. The Amazon Rekognition course may provide Software Engineers with some useful knowledge and skills for building and maintaining image analysis systems. The course will introduce students to the Amazon Rekognition software, as well as how to use the AWS SDK to analyze images using artificial intelligence. These skills could be useful for Software Engineers working on projects that involve image processing or object recognition.
IT Consultant
IT Consultant
IT Consultants provide advice and guidance to businesses on how to improve their IT systems. The Amazon Rekognition course may be useful for IT Consultants working with clients who need help implementing or using image analysis software. The course will provide students with knowledge about image analysis and object detection algorithms, as well as how to use the Amazon Rekognition software. This information could be useful for IT Consultants helping their clients with projects that involve image processing or object recognition.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote a product or service. The Amazon Rekognition course may be useful for Marketing Managers working on campaigns that use image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of marketing tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Marketing Managers working with image data or developing marketing campaigns involving object recognition.
Sales Manager
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales goals. The Amazon Rekognition course may be useful for Sales Managers working with products or services that involve image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of sales tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Sales Managers working with image data or selling products or services involving object recognition.
Operations Manager
Operations Manager
Operations Managers plan and direct the operations of an organization. The Amazon Rekognition course may be useful for Operations Managers working with processes that involve image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of operations tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Operations Managers working with image data or developing processes involving object recognition.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. The Amazon Rekognition course may be useful for Project Managers working on projects that involve image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of project management tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Project Managers working with image data or managing projects involving object recognition.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software and systems to ensure they meet quality standards. The Amazon Rekognition course may be useful for Quality Assurance Analysts working on projects that involve image analysis. The course will provide students with knowledge about image analysis and object detection algorithms, which can be applied to a variety of quality assurance tasks. Additionally, the Amazon Rekognition course introduces students to how the Amazon Rekognition software operates. This information could be useful for Quality Assurance Analysts working with image data or performing tasks involving object recognition.
For more career information including salaries, visit:
OpenCourser.com/course/zgho8n/reconhecimento
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Reconhecimento Facial e de Objetos com o Amazon Rekognition.
Este livro fornece uma visão abrangente dos princípios e técnicas de visão computacional. Ele aborda tópicos como representação de imagem, reconstrução de cena e reconhecimento de objetos, que são relevantes para as funcionalidades do Amazon Rekognition.
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Este livro didático oferece uma visão abrangente dos algoritmos e técnicas de visão computacional. Ele abrange tópicos como processamento de imagem, reconhecimento de objetos e análise de cena, que são fundamentais para o uso do Amazon Rekognition.
Este livro aborda especificamente a tarefa de detecção de objetos usando aprendizado profundo. Ele fornece insights sobre as técnicas e abordagens usadas no Amazon Rekognition para detectar objetos em imagens.
Este livro fornece uma introdução ao aprendizado profundo para visão computacional. Ele aborda algoritmos e técnicas usadas no Amazon Rekognition, como redes neurais convolucionais e Redes Adversariais Gerativas (GANs).
Este livro abrangente cobre técnicas fundamentais de reconhecimento de padrões e aprendizado de máquina. Ele fornece uma base teórica sólida para entender os algoritmos e técnicas usados no Amazon Rekognition.
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Este livro é uma referência fundamental sobre aprendizado profundo, que é a base de muitas das técnicas usadas no Amazon Rekognition. Ele fornece uma compreensão mais profunda dos algoritmos e técnicas subjacentes.
Este livro abrange conceitos e técnicas fundamentais de aprendizado de máquina. Ele fornece implementações práticas em Python, o que pode ser útil para entender os algoritmos e técnicas subjacentes usados no Amazon Rekognition.
Save
Este livro fornece uma compreensão abrangente de algoritmos e aplicações de visão computacional, que são essenciais para o funcionamento do Amazon Rekognition.
Este livro oferece uma introdução acessível à inteligência artificial. Ele aborda conceitos e aplicações fundamentais, fornecendo um pano de fundo útil para entender o Amazon Rekognition.
Provides a comprehensive overview of deep learning for computer vision. It would be a useful reference for students and researchers who want to learn more about the state-of-the-art in this area.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zgho8n/reconhecimento
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Effort
2 horas
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Rogerio Guimaraes
Language
Português
Good to know
Provides learners with a comprehensive overview of the Amazon Rekognition service
Helps students leverage AWS SDK to analyze images for various use cases
Develops skills in image analysis using AI
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