AI & Robotic
Showing 229–240 of 752 results
Deploying a Machine Learning Model with FastAPI
Learn to deploy machine learning models as APIs using FastAPI for efficient application integration.
Deploying Machine Learning Models – A Complete Guide
Learn to Deploy Machine Learning Models. Learn about Server and Server less Frameworks Both using Python
Designing Machine Learning Workflows in Python
Learn to build pipelines that stand the test of time.
Designing Machine/Deep Learning Models Using Azure CLI
The course enables the engineers/data scientist to build and deploy machine learning models into the Azure cloud, just by using Azure CLI commands.
Detect objects in images
Object detection is used to locate and identify objects in images. You can use Azure AI Custom Vision to train a model to detect specific classes of object in images.
Detect, analyze, and recognize faces
The ability for applications to detect human faces, analyze facial features and emotions, and identify individuals is a key artificial intelligence capability.
Develop Custom Object Detection Models with NVIDIA and Azure 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.
Develop Generative AI solutions with Azure OpenAI Service
Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.
Develop natural language processing solutions with Azure AI Services
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
Develop secure IoT Solutions for Azure Sphere with IoT Hub
Deploy an Azure Sphere device application to monitor ambient conditions for laboratory conditions. The application will monitor the room environment conditions, connect to IoT Hub, and send telemetry data from the device to the cloud. You'll control cloud-to-device communications and undertake actions as needed.
Develop secure IoT solutions for Azure Sphere, Azure RTOS and Azure IoT Central
Deploy an Azure Sphere application to monitor ambient conditions for a laboratory. The application will monitor the room environment, connect to Azure IoT Central, and send telemetry data from the device to the cloud. You'll control cloud-to-device communications and undertake actions as needed.
Develop solutions with Azure AI Document Intelligence
In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You'll learn how to: