LLM Evaluation & Guardrails (Intermediate): Quality, Safety, and Reliability
Learn how to evaluate LLM outputs, add guardrails, and build safer, more reliable AI systems.
Learn how to evaluate LLM outputs, add guardrails, and build safer, more reliable AI systems.
Building reliable AI systems requires more than good prompts. This course teaches evaluation strategies, automated checks, and guardrails to improve LLM quality and safety.
7–11 hours (self-paced).
Basic experience with LLM applications
Python familiarity
Understanding of prompts and responses
Evaluate LLM outputs systematically
Add guardrails for safer AI behavior
Improve reliability of AI systems
Design feedback and monitoring loops
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Students
0
Language
English
Duration
16h 30mLevel
intermediate
Expiry period
Lifetime
Certificate
yes
Dr. Kay
English
Certificate Course
0 Students
16h 30m
92 Courses
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