You've officially completed AIINFRA 300: Agentic AI & the Model Context Protocol (MCP). That's a real, in-demand skill set — designing tool-using agents, building MCP servers and clients, orchestrating multi-tool workflows, and thinking about human oversight, security, and evaluation like a production engineer. Your next stop on the certificate path is:
AIINFRA 301: Production RAG & LLMOps — Observability and Evaluation
In AIINFRA 301, you'll take the agentic systems you now know how to build and focus on what it takes to run them reliably in production: retrieval-augmented generation (RAG) pipelines at scale, observability and tracing for LLM applications, and rigorous evaluation practices so you know your system is working — not just hoping it is. Take a well-earned break, and see you in AIINFRA 301.
Notion ID: 392c08fd-0278-8147-8b45-ccfb74769af9 Notion URL: https://app.notion.com/p/392c08fd027881478b45ccfb74769af9