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Process Documents with Python Using the Document AI API

Google Cloud Training

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.

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What's inside

Syllabus

Process Documents with Python Using the Document AI API

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Process Documents with Python Using the Document AI API with these activities:

Review Python Programming Concepts

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Reviewing Python concepts will ensure you have a strong foundation for the programming exercises in this course.

Browse courses on Python

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Go over Python syntax and data structures
Complete practice problems

Read "Python for Data Analysis" by Wes McKinney

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This book provides a solid foundation in Python for data analysis, which is essential for working with DocumentAI.

View Python for Data Analysis: Data Wrangling with... on Amazon

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Read through the chapters on data structures, data manipulation, and visualization
Complete the exercises and examples

Join a Study Group

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Engaging with peers can foster a supportive learning environment and enhance your understanding of course materials.

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Find classmates to form a study group
Set regular meeting times
Discuss course topics and work on exercises together

Five other activities

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Create General Processor and Document OCR Processor

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Creating processors is a fundamental skill in this course, and practice will help increase your programming efficiency and skill in this area.

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Follow the lab instructions to create processors
Experiment with different input documents

Process Analysis Documents with DocumentAI Service

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Following this tutorial will solidify your knowledge in using the DocumentAI service, which is a core topic covered in this course.

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Read through DocumentAI Analysis walkthrough
Follow the steps to analyze a document

Complete Python Coding Challenges

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Solving coding challenges will refine your Python skills and improve your problem-solving abilities in the context of this course.

Browse courses on Python

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Find online coding challenges or use platforms like LeetCode
Practice solving problems regularly

Build an Application Using DocumentAI API

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Creating an application is a great way to synthesize the skills you'll learn in this course and apply them to a tangible project.

Browse courses on Web Application Development

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Design the application architecture
Implement the DocumentAI API integration
Develop the user interface
Test and deploy the application

Contribute to Open Source Projects Related to DocumentAI

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Contributing to open source projects can deepen your understanding of DocumentAI and connect you with a community of developers.

Browse courses on Open Source

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Find open source projects related to DocumentAI
Identify areas where you can contribute
Submit code contributions and engage in discussions

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

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Document Control Clerk

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.

See salaries and explore the career path for Museum curator

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.

See salaries and explore the career path for Historian

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.

See salaries and explore the career path for Archivist

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.

See salaries and explore the career path for Librarian

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.

See salaries and explore the career path for Records Manager

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.

See salaries and explore the career path for Data Entry Clerk

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.

Deep Learning

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Comprehensive reference for deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks.

Process Documents with Python Using the Document AI API

Three deals to help you save

What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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