Hosting AI Agents on Kubernetes: Deploy and Scale with KAgents

AI agents are transforming automation, but running them reliably at scale requires robust orchestration. This course shows you how to leverage Kubernetes to host, manage, and scale intelligent agents efficiently. You will progress from understanding basic agent architectures to deploying production-ready, resilient agent clusters using KAgents. What you'll learn: - Understand the core architecture of AI agents and how they interact with containerized environments. - Configure Kubernetes resources specifically optimized for hosting and scaling AI workloads. - Deploy intelligent agents using KAgents with step-by-step written configuration guides. - Manage agent lifecycles, state, and persistent storage requirements on a cluster. - Implement modern resource allocation strategies to balance CPU, memory, and model execution needs. - Apply basic automation and monitoring practices to update and manage your running agents. Starting with fundamental agent and container concepts, this text-based course takes you through hands-on configuration examples, YAML manifests, and practical written troubleshooting scenarios. It is designed for software developers, DevOps enthusiasts, and AI hobbyists who are new to orchestrating agents on Kubernetes, with no prior advanced cloud experience required. Start reading today to bring scalability and resilience to your AI agent deployments.