Delivering the

AI Stack

Many organizations have moved beyond AI experimentation to integrating AI into mission-critical business operations. This shift creates new operational challenges: How do you ensure reliable AI service delivery? How do you track changes across complex AI systems? How do you maintain performance as AI models evolve?

This Workshop equips teams with practical frameworks for deploying and operating AI systems at enterprise scale. We'll use a "functional architecture" approach, providing you with a durable conceptual framework that shows how AI deployment components fit together, from data pipelines to model serving to monitoring systems. While specific tools evolve rapidly, this architectural understanding will help you evaluate new technologies and integrate emerging AI developments strategically.

We'll explore the fundamentals of MLOps and the machine learning life cycle, including common pain points and current tooling solutions. You'll gain hands-on experience with deployment strategies, containerization for reproducibility, and comprehensive monitoring approaches that ensure your AI systems deliver consistent business value.