π Stop prototyping. π¦ Ship AI that scales.
Take our newest Nanodegree program to bridge the gap between an AI prototype and a production system.
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Take our newest Nanodegree program to bridge the gap between an AI prototype and a production system. Having trouble viewing? Read online UDACITY WEEKLY β OCTOBER 3 From Prototype to Production. New AI Ops Engineer Nanodegree Program. NEW NANODEGREE PROGRAM | 66 Hours AI Ops Engineer 3 Courses Β· 81 Lessons Β· 3 Projects Master the operational side of AI β the part that makes the difference between a prototype and a system you can actually run. Cover MLOps with DVC, MLflow, and Prefect; LLMOps with RAG pipelines, RAGAS evaluation, semantic caching, and guardrails; and AgentOps with versioning, deployment, observability, and human-in-the-loop design. All three with hands-on projects and real-world tools. YOUR INSTRUCTORS Amal Feriani Sr. ML Engineer, FastBatch Jeff Chen VP Marketing, SecureIQLab Henrique Santana Principal ML Engineer, Dell Enroll Now Also in this issue: NEW COURSE | 22 Hours MLOps: Automated Pipelines and Model Monitoring Version data with DVC, track experiments in MLflow, retrain with Prefect, containerize APIs with Docker, deploy to AWS, and monitor for drift and fairness. The full ML Ops lifecycle β from raw data to a production-grade serving endpoint. Enroll Now BLOG | 7 Min Read What is AI Ops? Why LLM and Agent Systems Require a Different Approach Most engineers approach their first production LLM system with instincts built for deterministic software. AI ops requires something different β from guardrails and evaluation to versioning and observability. A practical breakdown of what actually changes and why. Read Now NEW COURSE | 22 Hours LLMOps: RAG Pipelines, Evaluation, and Cost Control Operate LLM applications in production β not just prototype them. Version prompts as code, build a RAG pipeline with Chroma and OpenAI, add observability with Arize Phoenix, automate evaluation with RAGAS, control token costs, enforce guardrails, and optimize end-to-end latency. Enroll Now NEW COURSE | 22 Hours AgentOps: Deploying, Guarding, and Monitoring AI Agents Take an AI agent from prototype to a production system you can deploy, secure, and operate. Version agent behavior, build evaluation suites with ship/no-ship gates, deploy as a containerized CLI, enforce guardrails, add human-in-the-loop oversight, and instrument with structured logging and reasoning traces. Enroll Now TOP PICK FOR YOU | 38 Hours AI Engineering with Claude β 5 Rating The AI Engineering with Claude Nanodegree program prepares developers to build and ship production-grade AI agent systems with Claude, the Claude A... Learn more Enroll Now Get your new user offer. And start exploring our full course catalog. Get Discount Β© 2026 Udacity, Inc. β’ 2440 W El Camino Real β’ Mountain View, CA 94040 You've received this email because you created an account with us and are signed up to receive email updates from Udacity. Update your email preferences to choose what types of emails you receive Unsubscribe from all marketing emails
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