Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning

AI Engineer
Data Scientist
Machine Learning

Azure Machine Learning studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure. Learn how to develop custom object detection models using this service with NVIDIA GPU accelerated virtual machines.


Modules in this learning path

In this module, you'll learn how to create resources for getting started with Azure Machine Learning.

Learn how to use Azure Machine Learning data labeling to create, manage, and monitor data labeling projects.

Learn how to use AutoML to train a labeled dataset and develop a production object detection model.

NVIDIA Triton Inference Server is a multi-framework, open-source software that is optimized for inference. It supports popular machine learning frameworks like TensorFlow, ONNX Runtime, PyTorch, NVIDIA TensorRT, and more. It can be used for your CPU or GPU workloads. In this module, you'll deploy your production model to NVIDIA Triton server to perform inference on a cloud-hosted virtual machine.