AI & Robotic
Showing 421–432 of 1355 results
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:
Developing AI Systems with the OpenAI API
Leverage the OpenAI API to get your AI applications ready for production.
Developing an Artificial Intelligence Strategy for Your Organization
Companies everywhere are looking to cloud vendors and platforms to see how AI can help augment business processes or create new innovations. This course shows how to prepare for and shape an AI strategy for your business or organization.
Developing LLM Applications with LangChain
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Developing Machine Learning Models for Production
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Developing Models in Microsoft Azure
It's common to spend a lot of resources on identifying an optimal machine learning model. In this course, you will learn how to simplify this process using various cutting edge features offered by Microsoft Azure Machine Learning service.
Developing orchestrated scripts with IBM RPA Studio
In this course, you will learn how to develop orchestrated scripts from scratch, based on an example scenario.
Developing your First ML Workflow
Gain practical experience in creating and deploying your first machine learning workflow from scratch.
Diabetes classification with KNN in Python
Learn how to classify diabetes using the K-Nearest Neighbors (KNN) algorithm in Python. Understand how to preprocess data, train the model, and evaluate its performance to predict the likelihood of diabetes in individuals based on their health data.
Differential Equations in Action
Explore applications of differential equations in modeling dynamic systems in various fields, including AI.
Differentiate for Language and Reading Level With Generative AI Case Study
Use generative AI to create text at various levels of reading and language level. This can help streamline efforts for the creation of educational material