- Command-Line Interface
- Artificial Intelligence and Machine Learning (AI/ML)
- Serverless Computing
- GitHub
- Data Ethics
- Cloud Solutions
- Application Frameworks
- CI/CD
- Machine Learning
- Containerization
- MLOps (Machine Learning Operations)
- Generative AI Agents
DevOps, DataOps, MLOps
Completed by Ahmed Elnagar
December 8, 2024
44 hours (approximately)
Ahmed Elnagar'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
