AI Creators
Krish Naik
The Complete AI Security Course In 8 Hours-AI Guardrails, LLM Evals & Memory And AgentOps
Jun 18, 2026
Key Points
- 1.The course covers four key modules on AI security and agentic applications.
- 2.Topics include AI guardrails, LLM evaluations, agentic memory techniques, and agent ops.
- 3.Practical examples will demonstrate how to build secure, scalable AI systems.
Summary
AI Guardrails
The first module focuses on the importance of AI guardrails for creating secure and dependable LLM applications. Participants will learn how to implement guardrails and ensure applications remain safe and controllable.
LLM Evaluations
The second module addresses the creation of rigorous evaluation frameworks for production-grade AI applications. Understanding how to conduct these evaluations is crucial for developing effective AI agents.
Agentic Memory Techniques
Module three delves into the implementation of persistent memory and context engineering within AI agents. This module aims to enhance the functionality and reliability of AI interactions by making them more context-aware.
Agent Ops
The final module focuses on deploying and scaling autonomous AI systems, emphasizing the process of handling high request volumes. Learners will see practical demonstrations of scaling AI applications effectively.
Worth watching for
This video is intended for AI practitioners and enthusiasts looking to deepen their understanding of AI security and agentic applications.