Orchestrate, Analyze, and Evaluate AI Deployments
Coursera · intermediate · 2h
Deploying an AI model is only the beginning—keeping it reliable, explainable, and impactful in production requires strong MLOps skills. In this course, learners apply best practices to orchestrate the deployment lifecycle using continuous integration, continuous delivery, and tools like GitLab and Kubernetes. They analyze real telemetry data to investigate error spikes, trace root causes, and resolve performance issues with monitoring platforms such as Kibana.
Skills covered
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