Cortex Academy · Foundation → Intermediate

AI Engineering Foundations

Build the software and data foundations required before adding advanced AI components.

Python systemsData structuresSQLAPIsGitTestingLinuxCloud fundamentals
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modules8
projects3
assessment lenses3
your progress0%
Learning outcomes

What you should be able to do

1

Design reliable Python services

2

Structure data pipelines

3

Use Git and testing well

4

Understand model lifecycle

Curriculum

Every module is now a full lesson.

Applied work

Projects that prove the skill

Feature pipeline

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

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Model API

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

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Experiment tracker

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

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Assessment lens

How progress is judged

Code quality

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

Debugging

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

System explanation

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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