

As businesses shift from static chatbots to autonomous systems, mastering agentic architecture has become a critical skill for AI engineers. This plan is designed for developers and architects looking to build scalable, memory-aware, and collaborative multi-agent environments for real-world applications.
이 계획은 BeFreed의 독자적인 AI가 Agentic AI Architecture and Implementation을 쉽게 배울 수 있도록 제작했습니다. 주제에 대한 심층 연구를 바탕으로 BeFreed 사용자들이 입증한 가장 효과적인 학습 여정을 중심으로 구성되었습니다.
각 에피소드는 세계적인 소스(베스트셀러 도서, 연구 논문, 전문가 인사이트)에서 추출한 간결하고 영향력 있는 레슨을 제공합니다. 이들이 함께 Agentic AI Architecture and Implementation을 마스터하기 위한 세련되면서도 접근하기 쉬운 경로를 형성합니다.
Master the four-layer model that separates agents from simple chatbots.
Lessons coming soon: The Four Layers of AI Agents · The ReAct Pattern in AI Agents
Design memory architectures that allow agents to learn and retain context.
Lessons coming soon: AI Agent Memory Architecture · Secure Tool Use and the Model Context Protocol
Coordinate specialized agents to solve complex, multi-step enterprise workflows.
Lessons coming soon: Hierarchical Multi-Agent Orchestration · Securing Autonomous AI Agents
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샌프란시스코에서 컬럼비아 대학교 동문들이 만들었습니다
