Machine Learning Operations (MLOps) is based on DevOps principles and practices that increase the efficiency of workflows. For example, continuous integration, delivery, and deployment.
MLOps applies these principles to the machine learning process, with the goal of:
• Faster experimentation and development of models
• Faster deployment of models into production
• Quality assurance
• Azure Machine Learning
• ML Pipeline
• Azure DevOps Integration
Recently I had conducted Azure Architect Technologies (AZ-300) online training. Following topics covered at the training.
Deploying and Configuring Infrastructure
Implementing Workloads and Security
Understanding Cloud Architect Technology Solutions
Creating and Deploying Apps
Developing for the Cloud
Around 20 participants attended the training.
For Training Requirement Contact-