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Få viden og erfaring med de grundlæggende koncepter og værktøjer inden for Microsoft Azure AI services og løsninger
Kurset giver dig det centrale overblik over gængse AI workloads, og hvordan du identificerer de rigtige Azure services til at understøtte organisationens behov for AI-løsninger i Azure. På kurset er der en række hands-on øvelser, hvor vi arbejder med data og kører mindre kodestykker.
Du får desuden en grundlæggende forståelse af kunstig intelligens, en introduktion til Azure AI og Azure OpenAI Service. Vi gennemgår også vigtige principper inden for Machine Learning i Azure, og du lærer at forstå funktionerne i NLP-programmet (Natural Language Processing) i Azure. Endelig giver vi dig en introduktion til Azure Cognitive Search
Tilhørende exam
AI-900 - Microsoft Azure AI Fundamentals
AI-102 Designing and Implementing an Azure AI Solution
Explore Fundamentals of Artificial Intelligence
In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.
Introduction to Artificial Intelligence
Artificial Intelligence in Microsoft Azure
Explore Fundamentals of Machine Learning
Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.
Introduction to Machine Learning
Azure Machine Learning
Explore Fundamentals of Computer Vision
Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.
Computer Vision Concepts
Creating Computer Vision solutions in Azure
Explore Fundamentals of Natural Language Processing
This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize, and synthesize speech, translate between languages, and interpret commands.
Introduction to Natural Language Processing
Building Natural Language Solutions in Azure
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