Build an End-to-End Data Capture Pipeline using Document AI

Build an End-to-End Data Capture Pipeline using Document AI: Overview & Verdict

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

The course sits in the AI & Machine Learning section of Coursera, next to material aimed at the same level, which makes it easy to continue once you finish.

It is taught by Google Cloud, delivered in en — useful context when you are deciding whether Build an End-to-End Data Capture Pipeline using Document AI fits the time you have this week.

What you need before starting

• • A free Coursera account (takes under a minute to create)
• • A laptop, tablet or phone with a stable internet connection
• • Curiosity about ai & machine learning and a couple of free hours per week

About Google Cloud

Google Cloud teaches Build an End-to-End Data Capture Pipeline using Document AI. The lessons follow a consistent structure and the Q&A section stays active, which is a good signal of ongoing support.

Our verdict: Worth claiming if ai & machine learning is on your list this quarter — a paid course at $0 is hard to argue with. Enroll now even if you plan to start later — access stays with your account after the coupon expires.