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AI Interview MasteryIntermediate → SeniorNEW
AI Safety & Guardrails
Hallucinations, jailbreaks, RLHF, and guardrail questions for AI roles. Every AI engineer deploying LLMs must understand how models fail, how to prevent misuse, and how to implement guardrails at the application layer.
4.8rating1,650 students1h 20m total15 lessons
What you'll learn
Explain why LLMs hallucinate and the engineering mitigations
Describe jailbreak techniques and how to defend against each
Implement prompt injection detection with regex and semantic classifiers
Use RLHF and Constitutional AI to align model behavior
Add application-level guardrails: output classifiers, blocklists, rate limits
Conduct a threat model for an LLM-powered application
Final Project
Threat-model a healthcare AI chatbot: list the top 5 attack vectors and implement guardrails for each
Curriculum
15 lessons · 1h 20mCourse Info
Lessons15 lessons
Total time1h 20m
LevelIntermediate → Senior
Students1,650
Rating4.8 / 5.0