Kirk Borne

"Multi-Agent AI Engineering: Design, build, and operate AI systems that think and act as coordinated teams" Get it at https://t.co/dloQr18otV from @PacktPublishing 𝓣𝓪𝓫𝓵𝓮 𝓸𝓯 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼: 🟣Introduction to Multi-Agent Systems 🟡Principles of Multi-Agent Systems 🟢Frameworks and Mental Models 🟣Constructing Your First Agents 🟡Agent Communication and Collaboration 🟢Context Management in Agents 🟣Orchestrating Agent Teams 🟡Unified Abstractions and Protocols for Agent Collaboration 🟢Design Patterns for Multi-Agent Collaboration 🟣Comparative Survey of Frameworks 🟡Evaluating the Performance and Behaviors of Multi-Agent Systems 🟢Security and Online Guardrails for Multi-Agent Systems 🟣Observability for Agentic AI 🟡Self-Evolving Multi-Agent Systems 🟢Deploying and Scaling Multi-Agent Systems 🟣Case Studies from Real-World Applications 🟡Emerging Research and Industry Trends 🟢Conclusions and Future Outlook 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: ♦️Apply foundational principles to design production-ready agents ♦️Design agent communication, routing, and collaboration flows ♦️Orchestrate teams with proven multi-agent design patterns ♦️Manage memory, retrieval, and context across agent teams ♦️Evaluate, red-team, and benchmark agent system behaviors ♦️Deploy and scale multi-agent systems in production ♦️Augment agents with OpenTelemetry-based observability ♦️Evolve and improve agent systems safely in production