Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning

In this module, you'll learn how to:

• Create an Azure Storage account for storing and loading image data
• Create workspace resources for getting started with Azure Machine Learning
  • Create an Azure Machine Learning Studio workspace
  • Create an Azure Machine Learning Studio compute instance for use in model in training / validation
  • Create an Azure Machine Learning Studio Datastore

In this module, you'll learn how to:

• Create a Dataset of labeled images retrieved from an attached Datastore
• Coordinate data, labels, and team members to efficiently manage and process labeling tasks
• Track progress and maintain a queue of incomplete labeling tasks
• Review labeled data and export as an Azure Machine Learning Dataset

In this module, you'll learn how to:

• Author AutoML models for vision tasks via the Azure ML Python SDK
• Seamlessly integrate with the Azure Machine Learning data labeling capability
• Optimize model performance by specifying the model algorithm and tuning the hyperparameters
• Operationalize at scale, leveraging Azure Machine Learning MLOps capabilities
• Download the resulting model for use in a production deployment

In this module, you'll learn how to:

• Create an NVIDIA GPU Accelerated Virtual Machine
• Configure NVIDIA Triton Inference Server and related prerequisites
• Execute an inference workload on NVIDIA Triton Inference Server

• Introduction
• Introduction to Azure Machine Learning
• Create an Azure Storage Account
• Create an Azure Storage Container
• Create an Azure Machine Learning Workspace
• Create an Azure Machine Learning Compute Instance
• Create an Azure Machine Learning Datastore
• Knowledge check
• Summary

• Introduction
• Create an Azure Machine Learning data labeling project
• Label images with Azure Machine Learning data labeling tools
• Export a labeled Azure Machine Learning dataset
• Knowledge check
• Summary

• Introduction
• Prepare the Jupyter notebook workspace
• Configure the Jupyter notebook execution environment
• Execute the Jupyter Notebook to produce an object detection model using AutoML
• Knowledge check
• Summary

• Introduction
• Create a GPU Accelerated Virtual Machine
• Install prerequisites and NVIDIA Triton Inference Server
• Execute inference workload on NVIDIA Triton Inference Server
• Knowledge check
• Summary