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Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás a desarrollar modelos no supervisados con uno de los servicios cognitivos de Azure (Form Recognizer) para analizar formularios en archivos PDF y extraer los datos en un formato clave valor.
Podrás entrenar y validar el modelo mediante un orquestador construido con una aplicación lógica (Logic App) que se ejecutará al momento de subir un nuevo archivo a analizar.
Además, podrás analizar el resultado del servicio cognitivo y compararlo con el archivo PDF de pruebas que se utiliza para verificar el modelo generado.
Register for this course and see more details by visiting:
OpenCourser.com/course/158jyt/analisis
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What's inside
Syllabus
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Dirigido a profesionales en el campo de la administración de datos, este curso proporciona conocimientos y habilidades prácticas para analizar documentos utilizando servicios cognitivos de Azure
Brinda una comprensión integral del servicio Form Recognizer de Azure, que permite la extracción eficiente de datos de archivos PDF
Fomenta el desarrollo de habilidades prácticas a través de un proyecto guiado, lo que permite a los participantes aplicar los conceptos aprendidos de inmediato
Requiere conocimientos previos en el uso de aplicaciones lógicas de Azure, lo que puede ser una limitación para algunos participantes
La duración del curso es de solo 1 hora, lo que puede ser insuficiente para cubrir el tema en profundidad
El curso utiliza la versión de 2019 de los servicios cognitivos de Azure, que puede no ser la versión más actualizada
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Reviews summary
Análisis de documentos con azure sin código
Según los estudiantes, este curso ofrece una excelente introducción práctica al análisis de documentos utilizando los servicios cognitivos de Azure, especialmente Form Recognizer. Muchos valoran su enfoque sin necesidad de codificación, lo que lo hace muy accesible para perfiles no técnicos y profesionales que buscan soluciones rápidas. Se destaca la claridad del instructor y lo fácil de seguir de los pasos, así como las demostraciones prácticas. Sin embargo, una minoría de estudiantes, especialmente desarrolladores, lo encuentran demasiado corto y básico, esperando una mayor profundidad o manejo de casos complejos. A pesar de esto, se considera un proyecto guiado efectivo para obtener una visión general aplicable.
Es un proyecto de una hora, valorado por su brevedad y enfoque.
"Para ser de 1 hora, cumple su objetivo de dar una visión general práctica y aplicable."
"El tiempo de duración es ideal para agendas ocupadas."
"Perfecto para una visión rápida y efectiva."
El contenido y la guía son claros, haciendo el aprendizaje sencillo.
"La explicación es clara y el instructor explica muy bien y los pasos son fáciles de seguir."
"Súper didáctico y enfocado en lo que promete."
"El instructor es muy claro y el material bien estructurado."
"El contenido es digerible y el enfoque práctico ayuda mucho."
Ofrece una experiencia práctica inmediata para la extracción de datos.
"Excelente proyecto, muy práctico y directo al grano."
"Pude aplicar lo aprendido inmediatamente."
"Una experiencia muy concreta y útil. Aprendí a configurar el Form Recognizer y Logic App sin complicaciones."
"Como profesional, me dio las herramientas para proponer una solución rápida en mi empresa."
Ideal para quienes buscan soluciones de análisis documental sin programar.
"El enfoque en Form Recognizer sin código es justo lo que necesitaba para entender cómo aplicar esta tecnología en mi trabajo."
"El hecho de que sea un proyecto guiado sin necesidad de escribir código lo hace muy accesible."
"La explicación 'sin código' es un gran alivio para perfiles no técnicos."
"La promesa de 'sin código' se cumple a cabalidad, lo que es un plus."
Aunque es 'sin código', una base en Azure podría ser útil para la configuración inicial.
"Si no tienes experiencia previa con Azure, te puedes perder, aunque digan que es 'sin código'. No lo sentí tan 'sin código' para la configuración inicial."
No profundiza en detalles ni en casos complejos; ideal para principiantes.
"El curso es bueno para empezar, pero es muy básico. Como desarrollador, esperaba algo más profundo."
"Demasiado corto. Apenas se rasca la superficie del Form Recognizer."
"Quería aprender más sobre personalización de modelos o cómo manejar diferentes tipos de documentos, pero el curso solo muestra lo más básico."
"Es útil si eres completamente nuevo en el tema, pero no para un nivel intermedio."
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 Análisis de documentos con servicios cognitivos de Azure with these
activities:
Review Supervised Machine Learning
Show steps
Revisando el aprendizaje automático supervisado, reforzarás los conceptos fundamentales necesarios para comprender el servicio de reconocimiento de formularios.
Browse courses on
Supervised Machine Learning
Show steps
-
Revisa los algoritmos de aprendizaje automático supervisado, como la regresión lineal y la clasificación logística.
-
Practica la implementación de modelos de aprendizaje automático supervisado utilizando bibliotecas como Scikit-learn o TensorFlow.
Tutoriales guiados sobre Logic Apps
Show steps
Los tutoriales guiados sobre Logic Apps te brindarán las habilidades prácticas necesarias para crear orquestadores automatizados para procesar archivos PDF.
Browse courses on
Logic Apps
Show steps
-
Completa tutoriales en línea o talleres sobre Logic Apps de Microsoft.
-
Implementa tus propias Logic Apps para automatizar tareas como el procesamiento y análisis de archivos PDF.
Show all two activities
Review Supervised Machine Learning
Show steps
Revisando el aprendizaje automático supervisado, reforzarás los conceptos fundamentales necesarios para comprender el servicio de reconocimiento de formularios.
Browse courses on
Supervised Machine Learning
Show steps
Show steps
Show steps
- Revisa los algoritmos de aprendizaje automático supervisado, como la regresión lineal y la clasificación logística.
- Practica la implementación de modelos de aprendizaje automático supervisado utilizando bibliotecas como Scikit-learn o TensorFlow.
Tutoriales guiados sobre Logic Apps
Show steps
Los tutoriales guiados sobre Logic Apps te brindarán las habilidades prácticas necesarias para crear orquestadores automatizados para procesar archivos PDF.
Browse courses on
Logic Apps
Show steps
Show steps
Show steps
- Completa tutoriales en línea o talleres sobre Logic Apps de Microsoft.
- Implementa tus propias Logic Apps para automatizar tareas como el procesamiento y análisis de archivos PDF.
Show all two activities
Career center
Learners who complete Análisis de documentos con servicios cognitivos de Azure will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights for businesses. While a variety of courses, including those on Azure, may be helpful to Data Scientists, this course in particular is a good fit because it focuses on analyzing documents, which is a key skill for professionals in this role. In particular, this course will provide a foundation in using Azure's Form Recognizer to analyze PDFs for data extraction, which is a common task for Data Scientists working with unstructured data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course is a good fit for Machine Learning Engineers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill is increasingly important for Machine Learning Engineers as more and more businesses use unstructured data in their machine learning models.
Business Analyst
Business Analyst
Business Analysts help businesses make better decisions by providing them with insights into their data. This course is a good fit for Business Analysts because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze customer feedback, market research, and other types of unstructured data.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course is a good fit for Data Analysts because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze customer feedback, market research, and other types of unstructured data.
Information Architect
Information Architect
Information Architects design and manage the structure of information systems. This course is a good fit for Information Architects because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to design and manage information systems that are more efficient and easier to use.
Knowledge Manager
Knowledge Manager
Knowledge Managers create and manage knowledge bases for businesses. This course is a good fit for Knowledge Managers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to create and manage knowledge bases that are more efficient and easier to use.
Document Management Analyst
Document Management Analyst
Document Management Analysts help businesses manage their documents more efficiently. This course is a good fit for Document Management Analysts because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze documents for compliance, security, and other purposes.
Records Manager
Records Manager
Records Managers help businesses manage their records more efficiently. This course may be useful for Records Managers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze records for compliance, security, and other purposes.
Digital Asset Manager
Digital Asset Manager
Digital Asset Managers help businesses manage their digital assets more efficiently. This course may be useful for Digital Asset Managers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze digital assets for compliance, security, and other purposes.
Archivist
Archivist
Archivists manage and preserve historical records. This course may be useful for Archivists because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze historical records for preservation and research purposes.
Librarian
Librarian
Librarians help people find and access information. This course may be useful for Librarians because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze library materials for cataloging, research, and other purposes.
Museum curator
Museum curator
Museum Curators manage and preserve museum collections. This course may be useful for Museum Curators because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze museum artifacts for preservation and research purposes.
Researcher
Researcher
Researchers conduct research in a variety of fields. This course may be useful for Researchers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze research materials for research purposes.
Technical Writer
Technical Writer
Technical Writers create and manage technical documentation. This course may be useful for Technical Writers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze technical documentation for accuracy, clarity, and other purposes.
Editor
Editor
Editors review and edit written materials. This course may be useful for Editors because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze written materials for accuracy, clarity, and other purposes.
For more career information including salaries, visit:
OpenCourser.com/course/158jyt/analisis
Reading list
We've selected six 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
Análisis de documentos con servicios cognitivos de Azure.
Provides a comprehensive guide to the image and video processing services offered by Azure Cognitive Services. It covers topics such as object detection, facial recognition, video analytics, and content moderation.
Offers a comprehensive guide to data science using Python, covering data manipulation, visualization, and analysis techniques, providing a valuable resource for implementing the course project in Python.
Provides a hands-on introduction to machine learning using TensorFlow, offering practical guidance for building and training machine learning models, supplementing the course's coverage of machine learning concepts.
Save
Delves into the architectural patterns and best practices for designing and building data-intensive applications, providing valuable insights for managing and processing the data involved in the course project.
Provides a non-technical introduction to data science, covering the fundamental concepts and applications of data mining and data analytics, offering a broader perspective for understanding the role of data in the course project.
This concise book provides a quick overview of machine learning concepts and algorithms, offering a condensed introduction to the field, complementing the course's more in-depth coverage.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/158jyt/analisis
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Effort
60 minutos
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
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