KAgent: Host Your AI Agents on Kubernetes

Ever wondered how you can build, deploy, and manage intelligent AI agents seamlessly atop complex Kubernetes systems? KAgents is your complete, hands-on guide to orchestrating AI agents at scale, from initial installation to real-world application.

Whether you’re a Kubernetes pro seeking to automate workloads, an AI enthusiast wanting to deploy intelligent agents, this course demystifies the powerful capabilities behind Kagent and KMCP.

What You’ll Learn: Introduction & Foundations

• Discover Kagent: Uncover what Kagent is, why it’s useful, and explore gitops process of deploying and managing AI agents. 
• UI & Architecture Walkthrough: Get comfortable navigating Kagent’s dashboard and understanding its main components.
• Essential Prerequisites: Make sure you’ve got all the groundwork in place, like an overview of the GitOps process of deploying agents and how it can be leveraged for day-to-day usage.

Installing Kagent & Understanding the Architecture

• A2A at a Glance: Understand Agent-to-Agent (A2A) communication at a high level.
• Hands-On Installation: Walk through Kagent’s architecture, component insights, and follow step-by-step labs to get Kagent up and running.
• Interactive Exploration: Explore Kagent’s interface and capabilities, then test your knowledge with a hands-on quiz.

KMCP Installation & Multi-Cluster Management

• Why MCP for AI Agents: Learn why MCP is critical for managing AI workloads at scale and how KMCP fits into the picture.
• Installation Deep Dive: Guided labs and videos take you through installing KMCP and MCP servers on Kubernetes via the Kagent UI manually and code. 
• Agent Creation by Example: Put theory into practice by deploying AI agents to a Kubernetes cluster, leveraging tools provided by different MCP services, and witnessing KMCP in action.
• Checkpoint Your Skills: Test your confidence with a KMCP-focused quiz.

Building Smart AI Agents with System Prompts

• Prompt Engineering: Master the structure and role of system prompts in AI agents, and learn how to tailor their behavior for various tasks.

Debugging, Logging, and Troubleshooting

• Monitoring with Jaeger: Visualize and debug your agents’ activity using leading tools.
• Debugging Labs: Roll up your sleeves to fix, tune, and improve faulty agents, culminating in an applied troubleshooting quiz.

Complete AI Agent Lifecycle: Build, Fix, and Deploy

• Hands-On Builds: Build AI agents using the Kagent dashboard, YAML manifests, and BYO (Bring Your Own) agents with LangGraph.
• KAgent makes it simple to use publicly available MCP servers within minutes.
  
  1. You just point KAgent to any public MCP server, and it automatically connects, validates the tools, and makes them instantly available to your AI agents. No coding, no custom setup, the AI can start using those tools right away.
• Fix AI agents that are not performing as expected.
• Real-World Integrations: Practice integrating agents into productivity tools, including Slack and AWS CloudWatch, and pricing MCP servers.
• Final Knowledge Check: Consolidate all your learning with a comprehensive summary quiz.

Throughout KAgents, you’ll balance core theory with continuous, practical labs—making sense of AI agent infrastructure, reducing guesswork, and building production-ready agent solutions. Join an interactive community of learners as you transform Kubernetes from a hosting platform into a dynamic, AI-powered system—one agent at a time!

‍

Ready to orchestrate the future? Dive into KAgents and become an AI agent expert today!