Certified AI-Native Infrastructure Associate (CAINA)

Prove you can use LLMs and coding agents to design, generate, deploy, and validate cloud native infrastructure with Meshery and Kanvas. The associate-level credential of the TCS Labs Academy.
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The Certified AI-Native Infrastructure Associate (CAINA) is the entry-level credential of the TCS Labs Academy. It validates that you can put LLMs and coding agents to work on real cloud native infrastructure - turning intent into a Meshery design, deploying it, and validating it - rather than just talking about AI in the abstract.

The credential has two required parts:

  1. A written exam - 50 multiple-choice and scenario questions across the five domains above (75 minutes, proctored). Pass mark 70%.
  2. A hands-on lab - generate a design with an LLM, deploy it with a coding agent and Meshery, and validate it. Delivered as the CAINA Capstone challenge.

Work through Learning Paths 1-3, then attempt the Ship It with an Agent challenge as a warm-up. The competency blueprint above shows where to focus your study time.

A CAINA holder can explain how Meshery manages cloud native infrastructure, prompt an LLM to produce correct design YAML, use a coding agent to deploy a design through mesheryctl, and validate the result with Meshery’s relationship and policy checks - safely, with a human in the loop.

Ready for more? The Certified AI-Native Infrastructure Professional (CAINP) builds on CAINA to cover agentic day-2 operations, MCP integrations, and governance.