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LEARNPATH

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Agentic AI Engineer / AI ethics & responsibility

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Agentic AI Engineer

01Functions & scope
02Prompting & specification
03Tools & function calling
04MCP & tool servers
05Agent architecture
06Memory & planning
07Agent frameworks in practice
08Multi-agent patterns
09Agent safety
10AI ethics & responsibility

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Stage 04 · 04 · Safety · skill 2 of 2

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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