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DEMOD.DE-07 · v1.0

Embeddings →
features → models.
Without the breakage.

7 micro-lessons · ~54 min · Real Docker images

DATA PIPELINE · LIVE FLOW
LAKEHOUSE · 3 LANES · INGEST + TRANSFORM + FEATURES
+47/s
SOURCES
· 4
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TRANSFORMS
· 8
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FEATURES
· 12
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LCDLATEST RUN · 4 m 12 s ago · 14.2K rows
DEROLE TRACK

AI for Data Engineers

Embedding pipelines, hybrid retrieval, eval automation.

WHY THIS MATTERS · SNAP INTERNAL
Top-of-funnel role for data-engineering accounts; 64% of new team plans buy this track first.
WHAT YOU'LL LEARN
01Embedding pipelines
02Vector ops at scale
03Hybrid retrieval
04Eval automation
YOU'LL BE ABLE TO
Run embeddings at lakehouse scale
Tune hybrid retrieval
Automate eval into your CI
SKILLS YOU'LL GAIN

Real skills, real career delta.

Skills you'll gain

06
  • Run embeddings at lakehouse scaleWorking

    Outcome from completing the course: run embeddings at lakehouse scale.

  • Tune hybrid retrievalWorking

    Outcome from completing the course: tune hybrid retrieval.

  • Automate eval into your CIWorking

    Outcome from completing the course: automate eval into your ci.

  • Embedding pipelinesWorking

    Covered in lesson sequence — drop-in ready.

  • Vector ops at scaleWorking

    Covered in lesson sequence — drop-in ready.

  • Eval automationWorking

    Covered in lesson sequence — drop-in ready.

RUNNABLE ON YOUR MACHINE
$ docker pull snap/ai-data:lesson-01
$ docker run --rm -it snap/ai-data:lesson-01
snap/ai-data:lesson-01
QUICK PREVIEW · 7 MIN
VERIFIED ENGINEER REVIEWS
Hybrid retrieval lesson moved our recall +12%.
@de_daniVERIFY ON GITHUB
Eval-in-CI is now our gate to merge.
@kofi.infraVERIFY ON TWITTER
LESSONS7
HOURS~0.9
LEARNERS1,340
THIS WEEK+14%