Step-by-step end-to-end ML pipeline implementation for Azure environments enables efficient model development and deployment
Advanced training techniques including NLP, deep learning, and reinforcement learning provide hands-on experience with modern ML methods
Deployment strategies for batch and real-time scoring leverage Docker, Azure Kubernetes Service, and Azure Machine Learning Clusters for scalable solutions
MLOps automation using Azure DevOps streamlines pipeline management and CI/CD integration
Model deployment to FPGAs and Azure IoT Edge expands deployment possibilities for edge computing applications
Summarized by Shop
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features
Implement end-to-end machine learning pipelines on Azure
Train deep learning models using Azure compute infrastructure