This session provides a comprehensive guide to designing and building real-time machine learning and AI pipelines from the ground up using Apache Flink. It illuminates how Flink's unified streaming model, powered by its DataStream and SQL APIs, enables low-latency inference with both remote and embedded models. Attendees will witness live demonstrations of real-time training scenarios, such as click-event streaming and vector embedding updates, and learn to stitch together powerful Generative AI workflows with Retrieval-Augmented Generation. The talk equips engineers with a concrete, battle-tested blueprint for deploying scalable, production-grade ML/AI applications in a true streaming paradigm.