- Tensorflow
- Applied Machine Learning
- CI/CD
- Hugging Face
- DevOps
- Responsible AI
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning
- Big Data
- MLOps (Machine Learning Operations)
- Containerization
- Microsoft Copilot
DevOps, DataOps, MLOps
Completed by Ankush Ubale
June 10, 2024
44 hours (approximately)
Ankush Ubale'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
