Build an End-to-End Data Capture Pipeline using Document AI
This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI. 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 create a document processing pipeline that will automatically process documents that are uploaded to Cloud Storage.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- Duration 1 hour
- Course by Google Cloud
-
Offered by
About
This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI. 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 create a document processing pipeline that will automatically process documents that are uploaded to Cloud Storage. The pipeline consists of a primary Cloud Function that processes new files that are uploaded to Cloud Storage using a Document AI form processor and then saves form data detected in those files to BigQuery. If the form data includes any address fields the address data is then written to a Pub/Sub topic that in turn triggers a second Cloud Function that uses to Geocoding API to provide geographic coordinate data for the address that is also written to BigQuery. This is a simple pipeline that uses a general form processor that will detect basic form data, such as a labelled field containing address information. Document AI processors that use one of the specialized parsers that are beyond the scope of this lab provide enhanced entity information for specific document types even when those documents do not include labelled fields. For example, a Document AI Invoice parser can provide detailed address and supplier information, from an unlabelled invoice document because it understands the layout of invoices.Modules
Build an End-to-End Data Capture Pipeline using Document AI
-
1
ExternalTool
1
External Tool
- Build an End-to-End Data Capture Pipeline using Document AI
Auto Summary
Explore the foundational course "Build an End-to-End Data Capture Pipeline using Document AI" in IT & Computer Science, offered by Coursera. Led by expert instructors, this one-hour, self-paced lab teaches you to create an automated document processing pipeline using Google Cloud's Document AI, Cloud Functions, and Pub/Sub. Ideal for beginners, the course simplifies unstructured data processing, making it easier to analyze and consume. Subscription options include Starter and Professional plans. Perfect for those looking to enhance their cloud computing and data processing skills.
Google Cloud Training