- Artificial Intelligence and Machine Learning (AI/ML)
- PyTorch (Machine Learning Library)
- Machine Learning
- Rust (Programming Language)
- Docker (Software)
- Responsible AI
- Tensorflow
- Applied Machine Learning
- Cloud Solutions
- Microsoft Copilot
- Serverless Computing
- Hugging Face
DevOps, DataOps, MLOps
Completed by Serhii Khalymon
September 3, 2023
44 hours (approximately)
Serhii Khalymon'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
