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Form Parsing Using Document AI
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will gain hands-on experience using Document AI by parsing forms from within a Jupyter Notebook so that you can automatically extract information from digitally scanned paper forms.
Register for this course and see more details by visiting:
OpenCourser.com/course/0nlzow/form
What's inside
Syllabus
Form Parsing Using Document AI
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches Document AI, a tool that facilitates the automated extraction of information from scanned paper forms, which is a valuable skill in records management
Involves working within a Jupyter Notebook environment, a popular tool for data manipulation, which will be useful for learners who already use Jupyter Notebooks or want to develop their skills
Builds upon existing knowledge in Document AI, so learners may want to familiarize themselves with that topic before taking this course
Taught by Google Cloud Training, who are known for their expertise in cloud computing, a field of rapid growth and innovation
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Save Form Parsing Using Document AI to your list so you can find it easily later:
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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 Form Parsing Using Document AI with these
activities:
Recap Machine Learning Concepts
Show steps
Refresh your understanding of machine learning concepts to enhance your comprehension of Document AI's functionalities.
Browse courses on
Machine Learning
Show steps
-
Revisit textbooks or online materials on machine learning
-
Watch videos or attend webinars on machine learning fundamentals
Review Python Basics
Show steps
Sharpen your Python skills to maximize your effectiveness when working with Document AI.
Browse courses on
Python
Show steps
-
Review online tutorials or documentation on Python basics
-
Practice writing simple Python programs
Attend Document AI Webinars and Workshops
Show steps
Stay up-to-date on the latest developments in Document AI by attending webinars and workshops.
Browse courses on
Document AI
Show steps
-
Search for upcoming Document AI webinars and workshops
-
Register and attend the events
-
Take notes and ask questions
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Cloud Notebooks
Show steps
Learn how to use the provided Jupyter Notebook interface provided by Google Cloud to parse forms using Document AI.
Show steps
-
Open the provided Jupyter Notebook
-
Review the code and documentation in the notebook
-
Run the code and explore the results
Parse Forms with Document AI
Show steps
Gain hands-on experience using Document AI's form parsing functionality by parsing a variety of forms.
Show steps
-
Collect a set of sample forms in different formats
-
Upload the forms to your Google Cloud Storage bucket
-
Write code to parse the forms using Document AI's API
-
Test your code with different forms
Mentor Students on Document AI
Show steps
Enhance your understanding of Document AI by sharing your knowledge and supporting other students.
Browse courses on
Mentorship
Show steps
-
Join online forums or communities focused on Document AI
-
Answer questions and provide guidance to other students
-
Organize study groups or workshops on Document AI topics
Build a Document AI Model
Show steps
Deepen your understanding of Document AI's capabilities by building your own custom model for form parsing.
Browse courses on
Machine Learning Models
Show steps
-
Gather a dataset of labeled forms
-
Train a Document AI model using the dataset
-
Evaluate the performance of your model
-
Deploy your model to parse real-world forms
Contribute to Document AI Open Source Projects
Show steps
Extend your knowledge and contribute to the Document AI community by participating in open-source projects.
Browse courses on
Document AI
Show steps
-
Identify open-source projects related to Document AI
-
Review the project documentation and codebase
-
Identify areas where you can contribute your skills
-
Submit your contributions and collaborate with other contributors
Recap Machine Learning Concepts
Show steps
Refresh your understanding of machine learning concepts to enhance your comprehension of Document AI's functionalities.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Revisit textbooks or online materials on machine learning
- Watch videos or attend webinars on machine learning fundamentals
Review Python Basics
Show steps
Sharpen your Python skills to maximize your effectiveness when working with Document AI.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review online tutorials or documentation on Python basics
- Practice writing simple Python programs
Attend Document AI Webinars and Workshops
Show steps
Stay up-to-date on the latest developments in Document AI by attending webinars and workshops.
Browse courses on
Document AI
Show steps
Show steps
Show steps
- Search for upcoming Document AI webinars and workshops
- Register and attend the events
- Take notes and ask questions
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Cloud Notebooks
Show steps
Learn how to use the provided Jupyter Notebook interface provided by Google Cloud to parse forms using Document AI.
Show steps
Show steps
Show steps
- Open the provided Jupyter Notebook
- Review the code and documentation in the notebook
- Run the code and explore the results
Parse Forms with Document AI
Show steps
Gain hands-on experience using Document AI's form parsing functionality by parsing a variety of forms.
Show steps
Show steps
Show steps
- Collect a set of sample forms in different formats
- Upload the forms to your Google Cloud Storage bucket
- Write code to parse the forms using Document AI's API
- Test your code with different forms
Mentor Students on Document AI
Show steps
Enhance your understanding of Document AI by sharing your knowledge and supporting other students.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Join online forums or communities focused on Document AI
- Answer questions and provide guidance to other students
- Organize study groups or workshops on Document AI topics
Build a Document AI Model
Show steps
Deepen your understanding of Document AI's capabilities by building your own custom model for form parsing.
Browse courses on
Machine Learning Models
Show steps
Show steps
Show steps
- Gather a dataset of labeled forms
- Train a Document AI model using the dataset
- Evaluate the performance of your model
- Deploy your model to parse real-world forms
Contribute to Document AI Open Source Projects
Show steps
Extend your knowledge and contribute to the Document AI community by participating in open-source projects.
Browse courses on
Document AI
Show steps
Show steps
Show steps
- Identify open-source projects related to Document AI
- Review the project documentation and codebase
- Identify areas where you can contribute your skills
- Submit your contributions and collaborate with other contributors
Career center
Learners who complete Form Parsing Using Document AI will develop knowledge and skills
that may be useful to these careers:
Data Science Consultant
Data Science Consultant
As a Data Science Consultant, you may advise firms on how to apply data-driven insights to increase operational effectiveness. This course provides you with direct exposure to Document AI, an innovative technology that automates data collection from paper forms. By completing this course, you will develop essential skills for organizing, analyzing, and interpreting data, making you a more competitive candidate in this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop algorithms to enable computers to learn from data. In this course, you will gain experience using Jupyter Notebooks and Document AI, key tools for data preprocessing and model training in machine learning. These skills will enhance your ability to build and deploy machine learning solutions, increasing your value in this high-demand field.
Data Scientist
Data Scientist
As a Data Scientist, you utilize data to solve complex business challenges. This course provides hands-on practice with Document AI, a powerful tool for extracting structured data from unstructured documents. By mastering these techniques, you can streamline data collection and analysis, making you a valuable asset in the data science field.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. In this course, you will gain expertise in using Document AI within the Google Cloud Platform. This knowledge will enable you to build scalable and cost-effective cloud solutions that incorporate document processing capabilities, enhancing your capabilities as a Cloud Architect.
Data Analyst
Data Analyst
Data Analysts transform raw data into meaningful insights. This course provides practical experience in using Document AI to automate data extraction from scanned forms. By mastering these skills, you can quickly gather and analyze data, empowering you to make data-driven decisions and drive business outcomes.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to support decision-making. This course offers hands-on experience with Document AI, a technology that automates data extraction from business forms. By gaining proficiency in this tool, you will streamline data collection and analysis, enabling you to generate insights that drive better business decisions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides practical experience in using Document AI to extract data from digital documents. By incorporating these skills into your software development toolkit, you can create innovative solutions that enhance data processing capabilities.
Information Architect
Information Architect
Information Architects design and organize information systems. This course offers hands-on experience with Document AI, a tool that automates data extraction from paper forms. By gaining proficiency in this technology, you can streamline data collection and organization, making you a valuable asset in the field of information architecture.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course provides practical experience in using Document AI to extract structured data from unstructured documents. By mastering these techniques, you can automate data integration and improve data quality, enhancing your capabilities as a Database Administrator.
Project Manager
Project Manager
Project Managers oversee the planning and execution of projects. In this course, you will gain experience using Document AI to automate data collection from project documents. This knowledge will enable you to streamline project documentation and tracking, making you a more effective Project Manager.
Product Manager
Product Manager
Product Managers lead the development and launch of new products. This course offers hands-on experience with Document AI, a technology that automates data extraction from user feedback and product reviews. By mastering these techniques, you can gain valuable insights into customer needs and improve product development.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software systems. This course provides practical experience in using Document AI to automate data extraction from quality assurance reports. By incorporating these skills into your testing process, you can streamline data collection and analysis, enhancing your ability to identify and resolve software defects.
Compliance Officer
Compliance Officer
Compliance Officers ensure that organizations adhere to laws and regulations. In this course, you will gain experience using Document AI to automate data extraction from compliance documents. This knowledge will enable you to streamline compliance monitoring and reporting, making you a more effective Compliance Officer.
Risk Analyst
Risk Analyst
Risk Analysts assess and manage risks to organizations. This course provides practical experience in using Document AI to automate data extraction from risk assessments and reports. By mastering these techniques, you can streamline data collection and analysis, enabling you to identify and mitigate risks more effectively.
Business Process Analyst
Business Process Analyst
Business Process Analysts improve the efficiency and effectiveness of business processes. This course offers hands-on experience with Document AI, a tool that automates data extraction from business process documentation. By gaining proficiency in this technology, you can streamline process analysis and optimization, making you a valuable asset in the field of business process improvement.
For more career information including salaries, visit:
OpenCourser.com/course/0nlzow/form
Reading list
We've selected seven 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
Form Parsing Using Document AI.
Provides a comprehensive overview of deep learning for NLP, which can be helpful for understanding the underlying technology behind Document AI and how it can be used to solve more complex problems.
Provides a comprehensive overview of machine learning with Python and scikit-learn, which can be helpful for understanding the underlying concepts behind Document AI and how it can be used for machine learning tasks.
Provides a comprehensive overview of deep learning with Python, which can be helpful for understanding the underlying technology behind Document AI and how it can be used to solve more complex problems.
Provides a comprehensive overview of statistical learning, which can be helpful for understanding the underlying statistical concepts behind Document AI and how it can be used for more complex tasks.
Provides a practical guide to machine learning with Python and scikit-learn, Keras, and TensorFlow, which can be helpful for learning how to build your own machine learning applications.
Provides a practical guide to deep learning with Python, Fastai, and PyTorch, which can be helpful for learning how to build your own deep learning applications.
Provides a comprehensive overview of machine learning with R, which can be helpful for understanding the underlying concepts behind Document AI and how it can be used for more complex tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0nlzow/form
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches Document AI, a tool that facilitates the automated extraction of information from scanned paper forms, which is a valuable skill in records management
Involves working within a Jupyter Notebook environment, a popular tool for data manipulation, which will be useful for learners who already use Jupyter Notebooks or want to develop their skills
Builds upon existing knowledge in Document AI, so learners may want to familiarize themselves with that topic before taking this course
Taught by Google Cloud Training, who are known for their expertise in cloud computing, a field of rapid growth and innovation
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