https://meshery-extensions.github.io/tcslabs-academy/pr-preview/pr-36/challenges/deea6061-b6be-49a9-ad1c-f1a5c32e1fa9/cainp-capstone/Recent content in CAINP Capstone - Operate an AI Workload with Agents & Meshery on TCS Labs AcademyHugoenhttps://meshery-extensions.github.io/tcslabs-academy/pr-preview/pr-36/challenges/deea6061-b6be-49a9-ad1c-f1a5c32e1fa9/cainp-capstone/exam/Mon, 01 Jan 0001 00:00:00 +0000https://meshery-extensions.github.io/tcslabs-academy/pr-preview/pr-36/challenges/deea6061-b6be-49a9-ad1c-f1a5c32e1fa9/cainp-capstone/exam/https://meshery-extensions.github.io/tcslabs-academy/pr-preview/pr-36/challenges/deea6061-b6be-49a9-ad1c-f1a5c32e1fa9/cainp-capstone/lab/Mon, 01 Jan 0001 00:00:00 +0000https://meshery-extensions.github.io/tcslabs-academy/pr-preview/pr-36/challenges/deea6061-b6be-49a9-ad1c-f1a5c32e1fa9/cainp-capstone/lab/<h2 id="introduction" class="heading-link"> Introduction <a href="#introduction" class="heading-anchor" aria-label="Permalink to this heading">🔗</a> </h2> <p>This is the end-to-end capstone for the <strong>Certified AI-Native Infrastructure Professional (CAINP)</strong>. You will operate a real inference workload the AI-native way: deploy it with <a href="https://meshery.io/">Meshery</a>, make it observable, give a coding agent safe, audited access to cluster state through a Model Context Protocol (MCP) tool, and run an incident-and-remediation loop with a human approving every change.</p> <p>This is the professional loop: not just shipping infrastructure with AI, but <strong>operating</strong> it with AI under guardrails.</p>