Rating: 4.4 out of 5
Deployment of Machine Learning Models is an all-inclusive online course that teaches you how to take your machine learning models from the research environment to a fully integrated production environment. This course is perfect for those who have built their first machine learning models and want to learn deployment or for software developers looking to step into deployment of fully integrated machine learning pipelines.
The course covers essential topics such as transforming Jupyter notebooks into production code, serving predictions from an API, creating a Python package, deploying into production environments, and using Docker to control software and model versions. By the end of the course, you’ll have a comprehensive understanding of the entire research, development, and deployment lifecycle of a machine learning model, learn best coding practices, and be well-equipped to deploy models in a way that suits your organization’s needs. Although some advanced topics such as model monitoring and advanced deployment orchestration are not covered, the course still provides foundational knowledge for successfully putting your models into production.
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Skills you’ll learn
- Transforming code from Jupyter notebooks to production-ready code.
- Writing production code with tests, logging, and OOP.
- Deploying machine learning models as an API.
- Creating a Python Package.
- Understanding realistic production environments and deployment.
- Using Docker for version control.
- Implementing Continuous Integration and Continuous Delivery.
- Ensuring model reproduction in deployed environments.
Dive into the fascinating world of machine learning models with experienced instructors Soledad Galli and Christopher Samiullah as they guide you through a comprehensive 219-lesson course. With an impressive student base of over 30,000 learners and a solid 4.4-star rating, this enlightening educational experience will empower you to excel in the deployment of machine learning models effectively and confidently. Don’t miss this exceptional opportunity to expand your knowledge and skillset in the ever-evolving field of machine learning.