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This week focuses on production testing for agentic AI systems. You'll learn to automate quality checks, prevent regressions, and ensure safety and reliability in real-world deployments.
Congratulations — you’ve made it to Module 3: Real-World Readiness.
Until now, you’ve focused on what your agentic systems can do: retrieve information, coordinate roles, use tools, and reason through complex tasks. You’ve built some powerful prototypes.
But building for production is a different game.
This module is about moving from “It works in my notebook” to “It works every time — even in the real world.”
In a real-world setting, you won’t be manually testing your pipeline before every change. You’ll ship new prompts, swap tools, retrain components — and still need confidence that your system behaves correctly, safely, and consistently.
That’s what production testing is about:
Automated. Repeatable. Trustworthy.
It’s not just about catching bugs — it’s about preventing regressions, protecting against unsafe behavior, and setting a high bar for quality every time your system evolves.
This week is about making your systems safe, secure, and reliable.
pytest to validate your full pipeline — not just one-off prompts.By the end of this week, you’ll be able to:
Your project is no longer just a demo.
It’s a practical, real-world application. And this is how you make it production-ready.
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