Cortex Academy · Advanced

NLP & Retrieval Engineering

Build search and language systems from deterministic NLP to semantic retrieval.

TokenizationTF-IDFBM25EmbeddingsRerankingIntent classificationRAG architecture
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modules7
projects3
assessment lenses4
your progress0%
Learning outcomes

What you should be able to do

1

Implement lexical search

2

Evaluate retrieval quality

3

Build intent routing

4

Design knowledge-grounded assistants

Curriculum

Every module is now a full lesson.

Applied work

Projects that prove the skill

Cortex retrieval engine

Use a baseline first then instrument the result and document failure cases.

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Knowledge search

Use a baseline first then instrument the result and document failure cases.

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Article copilot

Use a baseline first then instrument the result and document failure cases.

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Assessment lens

How progress is judged

nDCG

Evidence should come from code, results, explanation quality and the ability to identify when an approach should not be used.

MRR

Evidence should come from code, results, explanation quality and the ability to identify when an approach should not be used.

Calibration

Evidence should come from code, results, explanation quality and the ability to identify when an approach should not be used.

Grounding quality

Evidence should come from code, results, explanation quality and the ability to identify when an approach should not be used.

Turn the track into a personal plan.

Cortex can break this path into daily sessions and adjust based on completed lessons, interview results and your saved learning goals.

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