https-deeplearning-ai/machine-learning-engineering-for-production-public
A DeepLearning.AI course series teaching machine learning engineering practices for deploying and maintaining models in production.
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This repository hosts public resources for DeepLearning.AI’s Machine Learning Engineering for Production Specialization. The content consists of Jupyter Notebooks covering topics such as ML pipeline design, model deployment, monitoring, and system architecture for production ML systems. It provides educational materials for engineers learning to operationalize machine learning workflows.
Frequently asked
- What is https-deeplearning-ai/machine-learning-engineering-for-production-public?
- A DeepLearning.AI course series teaching machine learning engineering practices for deploying and maintaining models in production.
- Is machine-learning-engineering-for-production-public open source?
- Yes — https-deeplearning-ai/machine-learning-engineering-for-production-public is open source, released under the Apache-2.0 license.
- What language is machine-learning-engineering-for-production-public written in?
- https-deeplearning-ai/machine-learning-engineering-for-production-public is primarily written in Jupyter Notebook.
- How popular is machine-learning-engineering-for-production-public?
- https-deeplearning-ai/machine-learning-engineering-for-production-public has 2k stars on GitHub.
- Where can I find machine-learning-engineering-for-production-public?
- https-deeplearning-ai/machine-learning-engineering-for-production-public is on GitHub at https://github.com/https-deeplearning-ai/machine-learning-engineering-for-production-public.