Swipe to see what you'll build in the new AI Ops Engineer Nanodegree program.
Three projects, each one a step deeper into production. A financial news sentiment pipeline. An e-commerce RAG service with evaluation and guardrails. A SalesOps agent with full observability and state
Most AI projects stall somewhere between "it works on my laptop" and production.
The skills that close that gap — versioning models, operating LLM applications at scale, running agents that don't fail silently — are what the new AI Ops Engineer Nanodegree program helps you
Security engineers know how to assess a web app. Most don't know how to assess an AI system.
ML engineers understand the model. Most can't tell you where the attack surface is.
That gap is where production AI gets compromised.
We built a Nanodegree program for the engineer who
No computer science degree required.
Sabrina Palis spent a decade as a teacher before enrolling in the Master of Science in AI degree program. Her capstone project: a decision support system that uses AI to detect anomalies in aerospace telemetry.
Watch the full graduate
What's your best defense against an agent inventing data? It isn't the schema: schema validation checks shape, and a hallucinated value has perfect shape.
The agent needed a date, invented one, and the pipeline accepted it, which is how fabricated data spreads through systems
