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Create and Test a Document AI Processor
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to to create and use document processors using the Document AI API.
Register for this course and see more details by visiting:
OpenCourser.com/course/6m38sh/create
What's inside
Syllabus
Create and Test a Document AI Processor
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides training in Document AI, a valuable tool for businesses automating document processing tasks
Meant for learners who want to apply AI technology to their document processes
Led by Google Cloud Training, an industry expert in cloud technology
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Create and Test a Document AI Processor.
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Career center
Learners who complete Create and Test a Document AI Processor will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use Machine Learning and AI to solve complex business problems, such as fraud detection and customer churn prediction. This course on creating and testing a Document AI Processor can help you develop the skills needed to build and deploy powerful AI models that can automate tasks and improve decision-making. The course covers topics such as data preparation, model training, and model evaluation, which are all essential for success in this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. This course on creating and testing a Document AI Processor can help you develop the skills needed to build and deploy AI models that can solve real-world problems. The course covers topics such as data engineering, model selection, and model optimization, which are all essential for success in this field.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course on creating and testing a Document AI Processor can help you develop the skills needed to build and deploy AI-powered software applications. The course covers topics such as software design, data structures, and algorithms, which are all essential for success in this field.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course on creating and testing a Document AI Processor can help you develop the skills needed to automate data processing tasks and extract insights from large datasets. The course covers topics such as data mining, data visualization, and statistical analysis, which are all essential for success in this field.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. This course on creating and testing a Document AI Processor can help you develop the skills needed to use AI to improve business processes and make better decisions. The course covers topics such as business process modeling, data analysis, and project management, which are all essential for success in this field.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products. This course on creating and testing a Document AI Processor can help you develop the skills needed to use AI to create innovative products that meet customer needs. The course covers topics such as product design, market research, and user experience, which are all essential for success in this field.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and delivering projects. This course on creating and testing a Document AI Processor can help you develop the skills needed to use AI to improve project management processes and deliver successful projects. The course covers topics such as project planning, risk management, and stakeholder management, which are all essential for success in this field.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and ensuring the quality of software applications. This course on creating and testing a Document AI Processor can help you develop the skills needed to use AI to automate testing tasks and improve software quality. The course covers topics such as software testing, test automation, and defect tracking, which are all essential for success in this field.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and other technical products. This course on creating and testing a Document AI Processor can help you develop the skills needed to use AI to automate documentation tasks and create high-quality documentation. The course covers topics such as technical writing, content management, and user experience, which are all essential for success in this field.
Customer Support Representative
Customer Support Representative
Customer Support Representatives provide support to customers who are using software and other technical products. This course on creating and testing a Document AI Processor can help you develop the skills needed to use AI to automate customer support tasks and provide better support to customers. The course covers topics such as customer service, problem-solving, and communication, which are all essential for success in this field.
For more career information including salaries, visit:
OpenCourser.com/course/6m38sh/create
Reading list
We've selected eight 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
Create and Test a Document AI Processor.
Provides a comprehensive overview of natural language processing in action. It covers a wide range of topics, including text classification, information extraction, and question answering. It valuable resource for researchers and practitioners in this field.
Provides a comprehensive overview of natural language processing, including chapters on machine learning, text classification, and information extraction.
Provides a comprehensive overview of machine translation, including chapters on statistical machine translation, neural machine translation, and evaluation.
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Provides a comprehensive overview of computer vision, including chapters on image processing, object detection, and image classification.
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Provides a comprehensive overview of natural language processing techniques for document understanding. It covers a wide range of topics, including text classification, information extraction, and question answering. It valuable resource for researchers and practitioners in this field.
Provides a comprehensive overview of machine learning techniques for natural language processing. It covers a wide range of topics, including text classification, information extraction, and question answering. It valuable resource for researchers and practitioners in this field.
Provides a comprehensive overview of machine learning techniques for text. It covers a wide range of topics, including text classification, information extraction, and question answering. It valuable resource for researchers and practitioners in this field.
Provides a comprehensive overview of deep learning for natural language processing, including chapters on word embeddings, recurrent neural networks, and transformers.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6m38sh/create
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides training in Document AI, a valuable tool for businesses automating document processing tasks
Meant for learners who want to apply AI technology to their document processes
Led by Google Cloud Training, an industry expert in cloud technology
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