AI Support Systems

AI Support Systems refer to the infrastructure, tools, and processes used to build, deploy, monitor, and maintain production AI applications. This includes MLOps platforms, model serving, observability, and automated pipelines for continuous training and deployment. The skill focuses on ensuring AI models are reliable, scalable, and performant in real-world environments.

Companies are shifting from experimental AI to production deployment at scale, creating massive demand for robust support systems. With the rise of large language models and real-time AI applications, organizations need specialized infrastructure to manage model versioning, latency, cost, and reliability. This trend is critical as AI becomes embedded in core business operations requiring 24/7 availability.