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Advanced Secure AI

By the end, you'll understand advanced AI security topics: fine-tuning risks, RAG architectures, guardrails and jailbreaks, red-teaming, and how to evaluate AI tools for {{company}}.

Security engineers, AI/ML practitioners, product leads evaluating AI capabilities · ~20 min · 5 modules

This course is part of the paid catalog. Purchase it individually, or unlock it with a membership that includes Tier 1 & 2 content.

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What's inside

01
AI Fine-Tuning and Training Risks
What happens when you fine-tune a model on {{company}} data. Data leakage, model extraction, and how to stay safe.
~4 min
02
RAG: Retrieval-Augmented Generation
Using AI with external data sources. Keeping data separate from the model. Security considerations.
~4 min
03
Guardrails and Jailbreaks
AI safety mechanisms, how they work, how they fail, and what you should assume.
~4 min
04
Red-Teaming and Evaluation
How to test AI tools before trusting them. Red-team prompts. Measuring reliability and safety.
~4 min
05
Evaluating AI Tools for {{company}}
How {{company}} decides whether to approve, conditionally approve, or reject an AI tool.
~4 min