Learn how to translate plain-language infrastructure requirements into concrete cloud native designs using an LLM and Meshery’s Kanvas visual designer. This course covers the full loop from intent specification through AI-assisted proposal to human review and validation.
Learn to generate valid, importable Meshery designs with an LLM: understand the YAML structure, craft precise prompts, align output with the Meshery registry, and iteratively refine designs in Kanvas.
Learn how to close the loop between AI-generated infrastructure designs and live clusters by having a coding agent drive the deploy pipeline through mesheryctl and GitOps tooling.
Learn how to rigorously validate AI-generated infrastructure designs in Meshery before they reach your cluster, using policy enforcement, shift-left checks, and reusable guardrails.