I came for the ML extractor training and stayed for the exception routing patterns.
Bot Development · Advanced
Document Understanding Bots
OCR, ML extractors, and human-in-the-loop validation for invoice and contract bots.
Document Understanding is where most enterprise client RPA projects either succeed or quietly stall. This course walks through OCR engines, ML extractors, training-set hygiene, and the validation station — using a corpus of synthetic invoices and supplier contracts. Expect to spend real time on confidence thresholds and exception routing.
1,280,000 KRW per learner · payment plan available
What is in this course
- Curated corpus of 220 synthetic invoices and contracts
- Hands-on training of an ML extractor with confusion-matrix review
- Validation Station configuration patterns for noisy inputs
- Exception routing into a human review queue
- Mentor review of your confidence threshold choices
- A reusable accuracy report template for stakeholder sign-off
Outcomes you should expect
- Stand up a Document Understanding pipeline against a real corpus
- Decide between rule-based and ML extraction per document type
- Communicate accuracy results in language non-engineers will trust
Choi Ye-jin
Lead RPA Instructor specializing in OCR, classification, and validation tooling.
Common questions
No. We treat the ML extractor as a tool with knobs to turn. You should be comfortable with a workflow tool and basic statistics — averages, distributions, and the idea of a confusion matrix.
Never. The 220-document corpus is synthetic and labeled in-house specifically for this course.
Partially. We cover Korean and English in the corpus, but stress that production-grade Korean OCR usually needs additional fine-tuning beyond what this course teaches.
Voices from past cohorts
The accuracy report template alone is worth the course fee for me. My PMO finally understood my hand-off.
Heavy course. Block 6 hours per week or the corpus work piles up.
Mentor caught a confidence-threshold mistake I had been making for a year.
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