Building Robust Agentic AI: Guardrails, Evals, and Memory
Krish Naik के एपिसोड “The Complete AI Security Course In 8 Hours-AI Guardrails, LLM Evals & Memory And AgentOps”, प्रकाशित June 18, 2026 की मुख्य बातें।
In "The Complete AI Security Course In 8 Hours-AI Guardrails, LLM Evals & Memory And AgentOps" (Krish Naik, June 2026), developing production-grade AI agents requires more than just functional code; it demands rigorous security, evaluation, and memory management. This crash course highlights how to implement guardrails for security, automated evaluation frameworks for reliability, and sophisticated memory techniques to ensure autonomous systems…
In "The Complete AI Security Course In 8 Hours-AI Guardrails, LLM Evals & Memory And AgentOps" (Krish Naik, June 2026), the intended audience is: Software engineers and AI developers transitioning to building enterprise-grade, agentic applications.
Developing production-grade AI agents requires more than just functional code; it demands rigorous security, evaluation, and memory management. This crash course highlights how to implement guardrails for security, automated evaluation frameworks for reliability, and sophisticated memory techniques to ensure autonomous systems remain controllable, cost-effective, and aligned with enterprise goals.
Software engineers and AI developers transitioning to building enterprise-grade, agentic applications.
विषय: AI Agents, LLM Security, Model Evaluation, Agent Ops, RAG
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Developing production-grade AI agents requires more than just functional code; it demands rigorous security, evaluation, and memory management. This crash course highlights how to implement guardrails for security, automated evaluation frameworks for reliability, and sophisticated memory techniques to ensure autonomous systems remain controllable, cost-effective, and aligned with enterprise goals.
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