1. Get started with AI on Azure
With 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.
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2. Use Automated Machine Learning in Azure Machine Learning
Training 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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3. Create a regression model with Azure Machine Learning designer
Regression 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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4. Create a classification model with Azure Machine Learning designer
Classification 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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5. Create a clustering model with Azure Machine Learning designer
Clustering 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.
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6. Analyze images with the Computer Vision service
The 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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7. Classify images with the Custom Vision service
Image 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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8. Detect objects in images with the Custom Vision service
Object 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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9. Detect and analyze faces with the Face service
Face detection, analysis, and recognition are important capabilities for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications.
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10. Read text with the Computer Vision service
Optical 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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11. Analyze receipts with the Form Recognizer service
Processing 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.
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12. Analyze text with the Language service
Explore text mining and text analysis with the Language service's Natural Language Processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
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13. Recognize and synthesize speech
Learn how to recognize and synthesize speech by using Azure Cognitive Services.
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14. Translate text and speech
Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.
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15. Create a language model with Conversational Language Understanding
In this module, we'll introduce you to Conversational Language Understanding, and show how to create applications that understand language.
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16. Build a bot with the Language Service and Azure Bot Service
Bots are a popular way to provide support through multiple communication channels. This module describes how to use a knowledge base and Azure Bot Service to create a bot that answers user questions.
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