1. Prepare to develop AI solutions on Azure
As an aspiring Azure AI Engineer, you should understand core concepts and principles of AI development, and the capabilities of Azure services used in AI solutions.
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2. Create and consume Cognitive Services
Azure Cognitive Services enable developers to easily add AI capabilities into their applications. Learn how to create and consume these services.
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3. Secure Cognitive Services
Securing Cognitive Services can help prevent data loss and privacy violations for user data that may be a part of the solution.
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4. Monitor Cognitive Services
Azure Cognitive Services enable you to integrate artificial intelligence into your applications and services. It's important to be able to monitor Cognitive Services in order to track utilization, determine trends, and detect and troubleshoot issues.
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5. Deploy cognitive services in containers
Learn about Container support in Cognitive Services allowing the use of APIs available in Azure and enable flexibility in where to deploy and host the services with Docker containers.
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6. Extract insights from text with the Language service
The Language service enables you to create intelligent apps and services that extract semantic information from text.
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7. Translate text with the Translator service
The Translator service enables you to create intelligent apps and services that can translate text between languages.
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8. Create speech-enabled apps with the Speech service
The Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text-to-speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.
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9. Translate speech with the speech service
Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language and returning translations of the transcription in one or more other languages.
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10. Create a Language Understanding app
The Language Understanding service enables you to train a language model that apps can use to extract semantic meaning from natural language.
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11. Publish and use a Language Understanding app
After creating a Language Understanding app, you can publish it and consume it from client applications.
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12. Build a question answering solution
The question answering capability of the Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.
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13. Create a bot with the Bot Framework SDK
Learn how to build a bot by using the Microsoft Bot Framework SDK.
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14. Create a Bot with the Bot Framework Composer
User the Bot Framework Composer to quickly and easily build sophisticated conversational bots without writing code.
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15. Analyze images
With the Computer Vision service, you can use pre-trained models to analyze images and extract insights and information from them.
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16. Analyze video
Azure Video Analyzer for Media is a service to extract insights from video, including face identification, text recognition, object labels, scene segmentations, and more.
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17. Classify images
Image classification is used to determine the main subject of an image. You can use the Custom Vision services to train a model that classifies images based on your own categorizations.
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18. Detect objects in images
Object detection is used to locate and identify objects in images. You can use Custom Vision to train a model to detect specific classes of object in images.
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19. 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.
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20. Read Text in Images and Documents with the Computer Vision Service
Azure's Computer Vision service uses algorithms to process images and return information. This module teaches you how to use the OCR API and Read API.
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21. Extract data from forms with Form Recognizer
Form Recognizer uses machine learning technology to identify and extract key-value pairs and table data from form documents with accuracy, at scale. This module teaches you how to use the Azure Form Recognizer cognitive service.
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22. Create an Azure Cognitive Search solution
Unlock the hidden insights in your data with Azure Cognitive Search.
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23. Create a custom skill for Azure Cognitive Search
Use the power of artificial intelligence to enrich your data and find new insights.
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24. Create a knowledge store with Azure Cognitive Search
Persist the output from an Azure Cognitive Search enrichment pipeline for independent analysis or downstream processing.
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