UNSTMOD.UNST-07 · v1.0
Pipelines for
real workloads,
not demos.
7 micro-lessons · ~54 min · Real Docker images
THE CHAIN · LIVE
CHAIN.A · 4 STAGES
PROCESSING
RAW DOC
OCR
PARSE
CLEAN
STRUCTURE
AI-READY
SWEEP · noise → signal in 4 stages
UNSTDATA ENGINEERINGHOT
Unstructured data processing
Docs, images, logs, video — turned into AI-ready signal.
WHY THIS MATTERS · IBM 2026 DATA GUIDE
Unstructured data processing and real-time data streaming listed under data processing — increasingly critical because AI consumes text, documents, images, and logs.
01Doc parsing pipelines
02OCR + layout-aware models
03Image & video preprocessing
04Log parsing for LLMs
05Multimodal lake patterns
Build doc-parsing pipelines that don't lie
Layout-aware OCR for tables/forms
Turn logs into structured signal for LLMs
SKILLS YOU'LL GAIN
Real skills, real career delta.
Skills you'll gain
08- Build doc-parsing pipelines that don't lieWorking
Outcome from completing the course: build doc-parsing pipelines that don't lie.
- Layout-aware OCR for tables/formsWorking
Outcome from completing the course: layout-aware ocr for tables/forms.
- Turn logs into structured signal for LLMsWorking
Outcome from completing the course: turn logs into structured signal for llms.
- Doc parsing pipelinesWorking
Covered in lesson sequence — drop-in ready.
- OCR + layout-aware modelsWorking
Covered in lesson sequence — drop-in ready.
- Image & video preprocessingWorking
Covered in lesson sequence — drop-in ready.
- Log parsing for LLMsWorking
Covered in lesson sequence — drop-in ready.
- Multimodal lake patternsWorking
Covered in lesson sequence — drop-in ready.
$ docker pull snap/unstructured:lesson-01
$ docker run --rm -it snap/unstructured:lesson-01
snap/unstructured:lesson-01
Layout-aware OCR lesson rewrote our document pipeline.
@unstr_umaVERIFY ON GITHUB
Log-parsing-for-LLMs is the lesson I'd been searching for.
@sre_mayaVERIFY ON GITHUB
LESSONS7
HOURS~0.9
LEARNERS2,140
THIS WEEK+25%