MLOps Course – Build Machine Learning Production Grade Projects
About this course
This comprehensive MLOps course covers the application of DevOps principles to machine learning, leading you through an end-to-end project that encompasses data ingestion, model training, and deployment. By utilizing state-of-the-art tools like ZenML and MLflow, you'll learn how to effectively manage machine learning workflows and ensure your models are production ready. You'll also understand the critical importance of monitoring, retraining, and maintaining your models in a constantly evolving data landscape.
What you should already know
Familiarity with machine learning concepts, programming skills, and a basic understanding of data engineering approaches are recommended before enrolling in this course.
What you will learn
By the end of the course, learners will be able to implement MLOps practices in their projects, confidently deploy machine learning models, and understand the continuous cycle of monitoring and retraining in a production environment.