Build a small Model Context Protocol tool that exposes live Meshery and cluster state to a coding agent. Start read-only, back it with the Meshery API, and connect it to an agent to answer questions about your infrastructure.
The hands-on capstone for the Certified AI-Native Infrastructure Associate (CAINA). Use an LLM to generate a Meshery design from intent, deploy it with a coding agent and mesheryctl, and validate it in Meshery.
The end-to-end capstone for the Certified AI-Native Infrastructure Professional (CAINP). Deploy and operate an inference workload with Meshery, wire up observability, build an MCP tool for an agent, and run an agent-assisted incident-and-remediation loop under governance.
Diagnose and remediate a broken deployment with an LLM and Meshery. Break a workload, use a coding agent to find the root cause from real signals, propose a fix behind an approval gate, and confirm recovery.
Use a coding agent and Meshery to deploy a microservices application from a design - the warm-up challenge for the CAINA credential. Generate or import a design, deploy it with an agent, and verify the rollout.