Overview

Candidates for the Azure AI Engineer Associate certification build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services.Their responsibilities include participating in all phases of AI solutions development-from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.Candidates for this certification should be proficient in C# or Python 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.Skills measuredPlan and manage an Azure Cognitive Services solutionImplement Computer Vision solutionsImplement natural language processing solutionsImplement knowledge mining solutionsImplement conversational AI solutionsThe Exam consists of questions covering the following modules/topics:- Plan and Manage an Azure Cognitive Services Solution (15-20%)Select the appropriate Cognitive Services resourcePlan and configure security for a Cognitive Services solutionCreate a Cognitive Services resourcePlan and implement Cognitive Services containers- Implement Computer Vision Solutions (20-25%)Analyze images by using the Computer Vision APIExtract text from imagesExtract facial information from imagesImplement image classification by using the Custom Vision servicePortalImplement an object detection solution by using the Custom Vision serviceAnalyze video by using Azure Video Analyzer for Media (formerly Video Indexer)- Implement Natural Language Processing Solutions (20-25%)Analyze text by using the Text Analytics serviceManage speech by using the Speech serviceTranslate languageBuild an initial language model by using Language Understanding Service (LUIS)Iterate on and optimize a language model by using LUISManage a LUIS model- Implement Knowledge Mining Solutions (15-20%)Implement a Cognitive Search solutionImplement an enrichment pipelineImplement a knowledge storeManage a Cognitive Search solutionManage indexing- Implement Conversational AI Solutions (15-20%)Create a knowledge base by using QnA MakerDesign and implement conversation flowCreate a bot by using the Bot Framework SDKCreate a bot by using the Bot Framework ComposerIntegrate Cognitive Services into a bot

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