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Why it matters: Learn how to run an AI bias audit with the right fairness metrics, runnable Fairlearn code, and legal checklists. Catch model gaps before regulators do.

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Why it matters: How to evaluate LLM outputs with LLM-as-a-judge: build a rubric, fix judge bias, and prove it against human labels in eight tested steps.

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Why it matters: Prompt injection attacks explained and how to defend against them: real incidents, measured results, and a 7-step layered plan with working code.

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Why it matters: Learn how to build a RAG chatbot with open source tools: nine tested steps, working Python code, and an evaluation loop that stops hallucinations.

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Why it matters: Vibe coding explained: the security flaws, hallucinated packages and agent mishaps behind the hype, plus the best practices that keep AI-generated code safe.

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