AI & ML Workflows with Kubernetes

The video “AI & ML Workflows with Kubernetes” by Data Science Dojo explains how Kubernetes is used to manage and scale AI and machine learning projects in real-world environments. It shows how different stages like data processing, model training, testing, and deployment can run smoothly using containers. The video focuses on why Kubernetes is important for handling large workloads, running multiple experiments, and deploying models reliably. It is easy to understand and gives a practical idea of how AI moves from development to production. Overall, it is helpful for students and professionals who want to learn about MLOps and production-ready AI systems.