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Explore how to build resilient AI agents that can withstand failures and operate autonomously at scale using Kubernetes infrastructure. Discover Dapr Agents, an open-source CNCF framework designed to create durable agents with persistent state that remain operational through network failures, crashes, and complete cluster shutdowns. Learn the fundamentals of orchestrating and managing autonomous agents in complex distributed environments, with practical demonstrations of structured LLM interactions, long-term memory implementation, multi-agent collaboration patterns, and MCP integration. Understand how to design agent systems that maintain resilience even as they gain greater autonomy, and gain hands-on knowledge for building scalable agentic systems that run natively on Kubernetes. Master the techniques for creating AI-driven automation that can handle the challenges of production environments while maintaining durability and fault tolerance.
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