Integrate, Scale, and Monitor ML Microservices” is a hands-on course designed for learners who want to build reliable and scalable machine-learning services. You’ll explore how ML models fit into modern microservice architectures, learning to design clear service boundaries, integrate prediction services effectively, and choose communication patterns that improve resilience. The course also guides you through asynchronous workflows and scaling strategies used in real production systems. Finally, you’ll develop practical troubleshooting skills by interpreting logs, metrics, and distributed traces to diagnose performance issues. Through demos, reflective coach activities, and a realistic analysis project, you’ll gain the technical judgment and practical intuition needed to operate ML microservices with confidence.