How Can FDEs Build Production-Ready Agentic AI Systems?
Introduction Years ago, tools like Power Apps made it simple for business teams to build small internal apps without writing much code. A dropdown here, a data connection there, and a working tool was ready by lunch. That simplicity still has its place, but enterprise AI work today asks for something far more demanding. Companies now want AI systems that can plan multiple steps, use real company data, and keep working reliably once employees and customers depend on them daily. This is the world a Forward Deployed Engineer, or FDE, lives in, and it's why many engineers turn to an AI Engineering Online Course to learn how these production-grade systems are actually built, not just demoed once and forgotten. How Can FDEs Build Production-Ready Agentic AI Systems? What Makes a System "Production-Ready" A working demo and a production-ready system are two very different things. A demo only needs to work once, in front of a friendly audience, using clean sample data. A pro...