Start here. Build a working mental model of cloud native and Kubernetes, install Meshery and connect a cluster, and learn to capture infrastructure as reusable Meshery designs. The grounding for everything else in the academy.
Understand how LLMs and coding agents actually work, prompt them well for cloud native operations, and ground them in your infrastructure’s real state. The AI literacy that makes the rest of the academy click.
The flagship path. Go from plain-language intent to a deployed, validated Meshery design - generating infrastructure with LLMs, co-designing in Kanvas, deploying with a coding agent, and validating every change before it ships.
Operate running infrastructure with AI. Use coding agents and LLMs to observe, diagnose, respond to incidents, performance-test, and self-heal cloud native workloads with Meshery - safely, with a human in the loop.
Connect coding agents to Meshery safely. Learn the Model Context Protocol (MCP), build MCP tools that expose Meshery and cluster state, integrate agents with Meshery’s APIs, and automate with least privilege and audit.
Govern AI-driven infrastructure. Apply policy as code with Meshery, secure the agent pipeline, practice responsible AI for operations, and produce the compliance evidence an enterprise Internal Developer Platform requires.