Thanks to open source, in the past year, we’ve seen a fundamental change: developers and enterprises are moving away from proprietary, closed-source models. To save costs, prioritize privacy, and allow for customization, they are building, testing, and deploying their own open models. However, this journey can feel overwhelming. Which foundation model should I use? How do I connect my model to existing data sources or build agentic capabilities to start seeing real value with AI? Oh, and don’t forget measuring performance and observability!

The key to navigating this emerging path is adopting the flexibility, transparency, and collaboration of open source that many of us are familiar with. Join us for this workshop as you get hands-on experience through the entire lifecycle of enterprise AI deployment and app development. You’ll use the leading tools for use cases such as model serving and scaling, connecting with your unique data, agentic workflows, evaluation/optimization, and more- built on Linux and Kubernetes! We’ll share best practices and knowledge around how building with open models and technology lets you control your own AI journey!