Cortex Academy · Career

AI / ML Interview Mastery

Combine deep question banks with adaptive review and engineering explanation practice.

PythonSQLMLDLNLPMLOpsSystem designBehavioral
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modules8
projects3
assessment lenses4
your progress0%
Learning outcomes

What you should be able to do

1

Explain core concepts

2

Solve practical scenarios

3

Discuss trade-offs

4

Defend project decisions

Curriculum

Every module is now a full lesson.

Applied work

Projects that prove the skill

40-question adaptive sessions

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

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Weak-topic review

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

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Mock architecture defense

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

design with cortex →
Assessment lens

How progress is judged

Accuracy

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

Explanation quality

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

Speed

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

Retention

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.

Ask Cortex to plan it →