Machine Learning Operations (MLOps)
About this course
This three-course specialization is built for ML practitioners and software engineers who want to stop experimenting and start shipping. You will master the engineering practices required to take trained models from notebooks to production — focusing on DevOps automation, cloud deployment, and containerized serving rather than model theory. Starting with DevOps foundations, you will build automated ML training pipelines with GitHub Actions, serve models through FastAPI, and implement CI/CD workflows from code to deployment using Docker. As you progress, you will gain a comprehensive understanding of cloud ML platforms across AWS, Azure, and GCP — learning when to use SageMaker, Vertex AI, or Azure ML Studio, and how to evaluate build-vs-buy decisions for managed ML services. The final course takes you deep into production model serving — building Dockerized ML services from scratch, designing multi-model serving APIs with versioning and A/B testing, optimizing prediction latency, and implementing batch and real-time inference patterns. By the end, you will have the engineering toolkit to reliably ship, serve, and scale ML models across any deployment environment.
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- mastering automated ML training pipelines using GitHub Actions
- serving models through FastAPI
- implementing CI/CD workflows with Docker
- evaluating cloud ML platforms like AWS, Azure, and GCP
- building Dockerized ML services from scratch
- designing multi-model serving APIs
Course objectives
- to provide practical skills for deploying ML models
- to enhance understanding of cloud infrastructure for ML
- to teach effective use of containerization in ML
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
Coursera
Compared on these lists
Where this course ranks against the alternatives.