AI-102: Designing and Implementing a Microsoft Azure AI Solution (beta)
Log in to EnrollSummary
- intermediate
- azure-qna-maker
- azure-video-indexer
- azure-translator-text
- azure-translator-speech
- azure-translator
- azure-text-speech
- azure-text-analytics
- azure-speech-translation
- azure-speech-text
- azure-speech
- azure
- azure-language-understanding
- azure-form-recognizer
- azure-face
- azure-custom-vision
- azure-computer-vision
- azure-cognitive-services
- azure-cognitive-search
- azure-bot-service
Candidates for Exam AI-102 should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.Candidates for this exam should be proficient in C#, Python, or JavaScript and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.Note: This exam will be available on February 23, 2021.
Learning paths
Modules in this learning path
-
Transcribe speech input to text
9 Units27 minSpeech to text from the speech service, known as speech recognition, enables real time transcription of audio streams into text. Your applications, tools, or devices can consume, display, and take action on this text as command input.
-
Translate speech with the speech service
6 Units18 minPerform speech translation tasks with the speech service to translate spoken text to different languages.
-
Synthesize Text Input to Speech
6 Units18 minLearn how to synthesize text to speech using the Speech-to-Text service.
Modules in this learning path
-
Extract insights from videos with the Video Indexer service
9 Units27 minLearn how to use the Video Indexer API to upload, index, retrieve insights, and search for content in video files.
-
Identify faces and expressions by using the Computer Vision API in Azure Cognitive Services
12 Units47 minLearn about the Computer Vision API in Azure that allows you to identify facial details in pictures.
-
Process images with the Computer Vision service
7 Units32 minUse the Computer Vision API to analyze images for insights, extract text from images, and generate high-quality thumbnails.
-
Classify images with the Microsoft Custom Vision Service
7 Units40 minCreate, train and test a custom image classification model using the Custom Vision Service to accurately identify paintings from famous artists.