AI Document Processing

6 Interactive Sessions

Short, interactive sessions: watch it work, try it, then build it yourself. You can go deeper at any time in the written chapters.

1. 1

   Turn every document into text a computer can read

   Before anything can be pulled out of an invoice, the file has to become text and tables a program can read. That is the first step of the pipeline, and every later step depends on it.

2. 2

   Work out what kind of document it is

   An invoice, a receipt and a contract can look alike, but each has different values to pull out. So the pipeline decides the type first, and says how sure it is, before it looks for any values.

3. 3

   Pull out the values with three methods

   The vendor, the total and the line items sit in different shapes on the page, so the pipeline uses three methods to find them. Every value comes out with a confidence and a note of which method found it.

4. 4

   Check the values before anyone pays

   A value can be read with high confidence and still be wrong. Checks that compare values with each other catch it, and anything unsure or failed goes to a person. That is how a pipeline gets to 98%.

5. 5

   Check the flagged values, don't retype the invoice

   With the pipeline doing the reading, a person's job shrinks from typing every value to checking the few the pipeline was unsure about. The app is built to point them at those few.

6. 6

   Keep it accurate as the volume grows

   A pipeline that works today does not stay accurate on its own. Measure each field and each vendor, send corrections back into the pipeline, update it when the numbers say so, and it gets better the more it processes.

How this certificate is scored

Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.

• You answer 6 short questions, one for each module, in your own words (at least 40 words each).
• An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
• To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.

The rubric

1. Module 1, Document Ingestion: PDF parsing + OCR + table detection.
2. Module 2, Classification: Document type classifier with confidence.
3. Module 3, Field Extraction: Multi-strategy field extraction.
4. Module 4, Validation & Enrichment: Schema + cross-field validation.
5. Module 5, Processing App: Upload, extract, review, export UI.
6. Module 6, Production Pipeline: Monitoring + retraining + throughput.

What you walk away with