DevOps for Gen AI App Development: Build Scalable and Reproducible LLMOps Pipelines

As Gen AI applications become increasingly prevalent, development practices must evolve to meet modern standards. Learn how to address the gap between data science and modern development practices. In this lab you’ll build a scalable and reproducible LLMOps development pipeline. Using off-the-shelf software, you'll integrate key tools like NeMo Customizer, NeMo Evaluator, NVIDIA NIM, and MLFlow into one GitOps-driven pipeline. By the end of this lab, you'll be equipped to support data scientists with flexible, cloud-agnostic pipelines.
Prerequisite(s):

Basic experience with Kubernetes.
Basic experience with Helm.