- PyTorch (Machine Learning Library)
- MLOps (Machine Learning Operations)
- Responsible AI
- Microsoft Copilot
- DevOps
- Applied Machine Learning
- Tensorflow
- Hugging Face
- GitHub
- Artificial Intelligence and Machine Learning (AI/ML)
- Rust (Programming Language)
- Docker (Software)
DevOps, DataOps, MLOps
Completed by Yassine EL GHALLALI
May 18, 2024
44 hours (approximately)
Yassine EL GHALLALI's account is verified. Coursera certifies their successful completion of DevOps, DataOps, MLOps
What you will learn
Build operations pipelines using DevOps, DataOps, and MLOps
Explain the principles and practices of MLOps (i.e., data management, model training and development, continuous integration and delivery, etc.)
Build and deploy machine learning models in a production environment using MLOps tools and platforms.
Skills you will gain
