AI-900: Microsoft Azure AI Fundamentals (beta)
Log in to EnrollSummary
- beginner
- azure
- azure-bot-service
- azure-cognitive-search
- azure-cognitive-services
- azure-computer-vision
- azure-form-recognizer
- azure-language-understanding
- azure-machine-learning
- azure-qna-maker
- azure-speech-text
- azure-speech-translation
- azure-text-analytics
- azure-text-speech
- azure-translator-speech
- azure-translator-text
In response to the coronavirus (COVID-19) situation, Microsoft is implementing several temporary changes to our training and certification program. Learn more.Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.Beta exams are not scored immediately because we are gathering data on the quality of the questions and the exam. Learn more about the value and importance of beta exams.
Learning paths
Modules in this learning path
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Use automated machine learning in Azure Machine Learning
9 Units39 minTraining a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.
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Create a Regression Model with Azure Machine Learning designer
10 Units51 minRegression is a supervised machine learning technique used to predict numeric values. Learn how to create regression models using Azure Machine Learning designer.
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Create a classification model with Azure Machine Learning designer
10 Units55 minClassification is a supervised machine learning technique used to predict categories or classes. Learn how to create classification models using Azure Machine Learning designer.
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Create a Clustering Model with Azure Machine Learning designer
10 Units53 minClustering is an unsupervised machine learning technique used to group similar entities based on their features. Learn how to create clustering models using Azure Machine Learning designer.
Modules in this learning path
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Get started with AI on Azure
10 Units27 minWith AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
Modules in this learning path
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Analyze text with the Text Analytics service
5 Units29 minThe Text Analytics service is a cloud-based service that provides advanced natural language processing over raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection.
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Recognize and synthesize speech
5 Units29 minLearn how to recognize and synthesize speech by using Azure Cognitive Services.
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Translate text and speech
5 Units29 minAutomated translation capabilities in an AI solution enables closer collaboration by removing language barriers.
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Create a language model with LUIS
5 Units39 minIn this module, we’ll introduce you to Language Understanding Intelligent Service (LUIS) and show how to create a LUIS application.
Modules in this learning path
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Analyze images with the Computer Vision service
5 Units28 minThe Computer Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
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Classify images with the Custom Vision service
5 Units34 minImage classification is a common workload in artificial intelligence (AI) applications. It harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.
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Detect objects in images with the Custom Vision service
5 Units39 minObject detection is a form of computer vision in which artificial intelligence (AI) agents can identify and locate specific types of object in an image or camera feed.
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Detect and analyze faces with the Face service
5 Units24 minFace detection, analysis, and recognition is an important capability for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications.
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Read text with the Computer Vision service
5 Units24 minOptical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.
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Analyze receipts with the Form Recognizer service
5 Units24 minProcessing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts.