AI Engineer using Microsoft Azure

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AI Engineer using Microsoft Azure provided by Udacity is a comprehensive online course, which lasts for 13 weeks long, 5-10 hours a week. AI Engineer using Microsoft Azure is taught by nd073 Avkash Chauhan, nd073 Valerie Scarlata and nd073 Matt Swaffer. Upon completion of the course, you can receive an e-certificate from Udacity. The course is taught in Englishand is Paid Course. Visit the course page at Udacity for detailed price information.

Overview
  • Meet the growing demand for Azure AI engineers and learn to design, build, and implement machine learning models, using Microsoft Azure.

Syllabus
    • Building Computer Vision Solutions with Azure
      • Students will begin by learning what computer vision is and about real-life business use cases. They will create solutions using different types of vision-based Azure Cognitive Services, including Azure Form Recognizer, Azure Face and Video Analyzer, and Azure Computer Vision and Custom Vision. Finally, they will learn and apply the deployment and monitoring tools to ensure that the solution is complete and runs smoothly.
    • Building NLP and Conversational AI Solutions with Azure
      • Students will learn how to build conversational AI and NLP solutions on Azure. They’ll explore use cases including chatbots and assistant solutions, then create solution diagrams, model dialogs, and learn about responsible AI principles and practice creating requirements. They’ll also create and configure bot applications and implement Azure Text and Speech Cognitive Services in applications.
    • Building Knowledge Mining Solutions With Azure Cognitive Search
      • Students will learn how to add data sources to Azure Cognitive Search, enrich the data with AI, properly index the enriched data, and expose the index to client applications for search scenarios. They will begin by learning how to design an Azure Cognitive Search solution and finish the course by building out an AI enriched data mining application from end-to-end.