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LEARNPATH

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AI Engineer / AI ethics & responsibility

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AI Engineer

01Python syntax & types
02Lists, dicts, sets
03Linear algebra intuition
04Probability & statistics
05SQL fundamentals
06Data wrangling
07Machine learning fundamentals
08Neural networks
09PyTorch basics
10Evaluation & metrics
11MLOps basics
12Containers & orchestration
13AI ethics & responsibility

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Stage 05 · 05 · Responsibility · skill 1 of 1

AI ethics & responsibility

Datasets encode history. Models amplify it. You are accountable for what you ship.

After this you will be able to

List failure modes: bias, privacy, dual use
Ask who is harmed if the model is wrong
Refuse to train on data you have no right to use

Open OWASP Top 10 for LLM Applications

OWASP · why we picked it

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