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Process Documents with Python Using the Document AI API
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python.
The Document AI API is a document understanding solution that takes unstructured data, such as documents and emails, and makes the data easier to understand, analyze, and consume.
In this lab, you will use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python. This lab creates a Vertex AI Notebooks instance for you that you will use with JupyterLab notebooks to work with the Document AI Python Client modules.
Register for this course and see more details by visiting:
OpenCourser.com/course/27y7zl/process
What's inside
Syllabus
Process Documents with Python Using the Document AI API
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes working with Python to interact with the Document AI API, targeting Python developers
Course assumes some level of proficiency in Python programming
Covers core concepts such as creating general form and Document OCR processors
Provides hands-on lab experiences in Google Cloud console and JupyterLab notebooks
Introduces the Document AI API for understanding unstructured data, potentially appealing to those working with document processing
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Activities
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Process Documents with Python Using the Document AI API.
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Career center
Learners who complete Process Documents with Python Using the Document AI API will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
As a Data Scientist, you will use your expertise in machine learning and AI to extract insights from data. This course can provide you with the skills and knowledge you need to create processors that can automate the processing of documents, which is a valuable skill for Data Scientists who need to work with large volumes of unstructured data. This course may also be useful for Data Scientists who want to use the Document AI API to develop new AI-powered applications.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will use your expertise in machine learning to design, build, and deploy machine learning models. This course can provide you with the skills and knowledge you need to develop processors that use machine learning to extract information from documents, which is a valuable skill for Machine Learning Engineers who need to work with unstructured data. This course may also be useful for Machine Learning Engineers who want to use the Document AI API to develop new AI-powered applications.
Data Analyst
Data Analyst
As a Data Analyst, you will use your expertise in data analysis to extract insights from data. This course can provide you with the skills and knowledge you need to create processors that can automate the processing of documents, which is a valuable skill for Data Analysts who need to work with large volumes of unstructured data. This course may also be useful for Data Analysts who want to use the Document AI API to develop new AI-powered applications.
Software Engineer
Software Engineer
As a Software Engineer, you will use your expertise in software development to design, build, and deploy software applications. This course can provide you with the skills and knowledge you need to develop processors that can be used to automate the processing of documents, which is a valuable skill for Software Engineers who need to work with unstructured data. This course may also be useful for Software Engineers who want to use the Document AI API to develop new AI-powered applications.
Information Architect
Information Architect
As an Information Architect, you will use your expertise in organizing and structuring information to design and build information systems. This course can provide you with the skills and knowledge you need to develop processors that can be used to automate the processing of documents, which is a valuable skill for Information Architects who need to work with large volumes of unstructured data. This course may also be useful for Information Architects who want to use the Document AI API to develop new AI-powered applications.
Technical Writer
Technical Writer
As a Technical Writer, you will use your expertise in writing and editing to create technical documentation. This course can provide you with the skills and knowledge you need to develop processors that can be used to automate the processing of documents, which is a valuable skill for Technical Writers who need to work with large volumes of unstructured data. This course may also be useful for Technical Writers who want to use the Document AI API to develop new AI-powered applications.
Project Manager
Project Manager
As a Project Manager, you will use your expertise in project management to plan, execute, and deliver projects. This course can provide you with the skills and knowledge you need to develop processors that can be used to automate the processing of documents, which is a valuable skill for Project Managers who need to work with large volumes of unstructured data. This course may also be useful for Project Managers who want to use the Document AI API to develop new AI-powered applications.
Business Analyst
Business Analyst
As a Business Analyst, you will use your expertise in business analysis to understand and improve business processes. This course can provide you with the skills and knowledge you need to develop processors that can be used to automate the processing of documents, which is a valuable skill for Business Analysts who need to work with large volumes of unstructured data. This course may also be useful for Business Analysts who want to use the Document AI API to develop new AI-powered applications.
Document Control Clerk
Document Control Clerk
As a Document Control Clerk, you will use your expertise in document control to manage and track documents. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Document Control Clerks who need to work with large volumes of unstructured data. This course may also be useful for Document Control Clerks who want to use the Document AI API to develop new AI-powered applications.
Museum curator
Museum curator
As a Museum Curator, you will use your expertise in museum studies to manage and preserve museum collections. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Museum Curators who need to work with large volumes of unstructured data. This course may also be useful for Museum Curators who want to use the Document AI API to develop new AI-powered applications.
Historian
Historian
As a Historian, you will use your expertise in history to research and interpret the past. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Historians who need to work with large volumes of unstructured data. This course may also be useful for Historians who want to use the Document AI API to develop new AI-powered applications.
Archivist
Archivist
As an Archivist, you will use your expertise in archives management to manage and preserve historical documents. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Archivists who need to work with large volumes of unstructured data. This course may also be useful for Archivists who want to use the Document AI API to develop new AI-powered applications.
Librarian
Librarian
As a Librarian, you will use your expertise in library science to manage and provide access to information. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Librarians who need to work with large volumes of unstructured data. This course may also be useful for Librarians who want to use the Document AI API to develop new AI-powered applications.
Records Manager
Records Manager
As a Records Manager, you will use your expertise in records management to manage and preserve records. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Records Managers who need to work with large volumes of unstructured data. This course may also be useful for Records Managers who want to use the Document AI API to develop new AI-powered applications.
Data Entry Clerk
Data Entry Clerk
As a Data Entry Clerk, you will use your expertise in data entry to enter data into a computer system. This course can provide you with the skills and knowledge you need to develop processors that can automate the processing of documents, which is a valuable skill for Data Entry Clerks who need to work with large volumes of unstructured data. This course may also be useful for Data Entry Clerks who want to use the Document AI API to develop new AI-powered applications.
For more career information including salaries, visit:
OpenCourser.com/course/27y7zl/process
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
Process Documents with Python Using the Document AI API.
Save
Comprehensive reference for deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive guide to using R for machine learning, including topics such as data preprocessing, model training, and evaluation.
Provides a comprehensive guide to using Python for data science, including topics such as data wrangling, data visualization, and machine learning.
Provides a hands-on guide to using popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow.
Provides a comprehensive overview of natural language processing (NLP) techniques, with a focus on Python implementations. It valuable resource for anyone who wants to learn more about NLP and how to use it to solve real-world problems.
Provides a solid understanding of Python programming, which is essential for working with the Document AI API.
Save
Provides a comprehensive overview of computer vision algorithms and applications, making it a good choice for those who want to learn more about the underlying technology behind the Document AI API.
Provides a comprehensive overview of machine learning techniques, with a focus on Python implementations. It valuable resource for anyone who wants to learn more about machine learning and how to use it to solve real-world problems.
Provides a comprehensive overview of deep learning techniques, with a focus on Python implementations. It valuable resource for anyone who wants to learn more about deep learning and how to use it to solve real-world problems.
Provides an introduction to deep learning, which is used by the Document AI API for image recognition and other tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/27y7zl/process
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Emphasizes working with Python to interact with the Document AI API, targeting Python developers
Course assumes some level of proficiency in Python programming
Covers core concepts such as creating general form and Document OCR processors
Provides hands-on lab experiences in Google Cloud console and JupyterLab notebooks
Introduces the Document AI API for understanding unstructured data, potentially appealing to those working with document processing
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