Cortex Academy · Advanced

LLM & Agent Architecture

Study modern agent patterns without hiding engineering behind API calls.

Prompt architectureTool callingMemoryPlanningCritiqueRAGEvaluation
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modules7
projects3
assessment lenses4
your progress0%
Learning outcomes

What you should be able to do

1

Design tool loops

2

Build memory layers

3

Evaluate agent reliability

4

Separate planning from execution

Curriculum

Every module is now a full lesson.

Applied work

Projects that prove the skill

Agent simulator

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

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Research orchestrator

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

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Tool policy sandbox

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

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Assessment lens

How progress is judged

Task success

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

Grounding

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

Tool precision

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

Failure recovery

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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