Deploying Machine Learning Models in Production

This free Coursera course, “Deploying Machine Learning Models in Production”, teaches you how to deploy ML models and make them available to end-users. You’ll learn to build scalable and reliable hardware infrastructure for real-time and batch inference requests. You’ll also implement workflow automation and progressive delivery using MLOps practices to keep your production system running smoothly. Additionally, you’ll learn to continuously monitor your system to detect model decay, remediate performance drops, and prevent system failures. This course covers four modules:

• Model Serving Introduction
• Model Serving Patterns and Infrastructures
• Model Management and Delivery
• Model Monitoring and Logging

Understanding machine learning and deep learning is important, but to build a successful AI career, you need production engineering skills. This course combines foundational machine learning concepts with modern software development and engineering expertise, giving you the skills to build production-ready ML models. Learn for free today!