Track 2 of 3
Engineer AI Agents
Build agents you can trust with real authority
Knowing which node to drag is not the same as knowing what happens when an agent is wrong. This track is about grounding, tool authority, separation of duties and the gate — built against a real business, with real failures.
The route through
Take these in order — each one assumes the one before it.
Building AI Agents for Sales, Onboarding and Support
Build the desk that answers, qualifies, onboards and hands off — on every channel, without ever inventing a fact.
A chatbot is a conversation. A desk is an operation: it knows your business, it answers on whatever channel the customer used, it moves the pipeline, and it knows when to stop and get a human. This path builds one end to end against a real CRM — and spends as much time on what the agent must refuse to do as on what it can.
16 lessons2 hr 28 minEarn the Expedify Certified Desk BuilderStart pathBuilding Production-Ready AI Agents
Build an agent team that decides from your own policy and your own data, cannot act beyond the authority you gave it, and leaves an audit row you can defend.
You have an agent that works in a demo. This is the course that makes one you can point at real customers and real money. It builds the control layer nothing in the marketplace ships with: a reviewer separate from the actor, a hard gate before anything irreversible, a bounded correction loop, and an audit row a colleague can read in six months. Every failure it teaches is one that really happened on a real run.
21 lessons2 hr 59 minEarn the Expedify Certified Agent Governance PractitionerStart path
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AI & ML FoundationsUnderstand what is running underneath