Machine Learning Operations (MLOps): Getting Started

• Fundamental Technologies for MLOps: Recognize and utilize the fundamental technologies necessary for facilitating effective MLOps, hence ensuring the efficient deployment and administration of machine learning models in a production environment.

• Best Practices for Continuous Integration and Continuous Deployment: Implement optimal CI/CD methods for machine learning systems to guarantee continuous integration and deployment of models.

• Google Cloud Architecture for MLOps: Acquire the skills to configure and provision Google Cloud architectures that provide dependable and efficient MLOps environments for scaled machine learning operations.

• Training and Inference Procedures: Establish dependable and consistent training and inference workflows that guarantee the resilience and scalability of machine learning models in production.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 2 hours (approximately)

Schedule: Flexible