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Azure AI Fundamentals (AI-900) Cert Prep: 1 Conversational AI on Azure

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Jamie Maguire

1:04:32

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  • 01 - Introduction.mp4
    00:55
  • 02 - Topics that are covered in this course.mp4
    01:03
  • 01 - Overview of common conversational AI workloads.mp4
    02:39
  • 02 - Features and characteristics of chatbots.mp4
    10:45
  • 03 - Identify common use cases and workloads for conversational AI.mp4
    11:13
  • 01 - Overview of Azure services used for conversational AI workloads.mp4
    02:57
  • 02 - Overview of Azure Bot Service.mp4
    05:27
  • 03 - Overview of QnA Maker service.mp4
    08:30
  • 04 - Overview of Bot Framework SDK.mp4
    07:55
  • 05 - Overview of Bot Framework Composer.mp4
    06:26
  • 06 - Overview of Bot Framework Emulator.mp4
    05:12
  • 01 - Next steps.mp4
    01:30
  • Description


    Conversational AI has officially taken the world by storm. Everywhere you look, companies are turning to cloud platforms like Microsoft Azure to automate their most important, mission-critical workflows. In this course, Microsoft MVP Jamie Maguire shows you how to use common features in Azure to manage conversational AI workloads and prepare for the first domain of the Microsoft Azure AI Fundamentals (AI-900) certification exam. Learn how to use built-in AI tools and services such as Azure Bot Service, QnA Maker, Microsoft Bot Framework SDK, Bot Framework Composer, and Bot Framework Emulator. If you’re interested in being vetted by a market leader in one of the hottest subfields of IT, this course can help you get ready for the exam and launch the next big phase of your career.

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    Jamie Maguire
    Jamie Maguire
    Instructor's Courses
    A dedicated, personable and enthusiastic Microsoft MVP in Artificial Intelligence and Certified Azure AI Engineer Associate. Combines a strong academic background with extensive industry experience in software and application development. Specialises in the development of highly effective solutions according to the specific requirements of the client, architecting and delivering enterprise solutions using the Microsoft stack in markets including but not limited to: Criminal Justice, Social Media, Finance, Health, HR, Law, Transport, Oil, and Gas. Researched machine learning, natural language processing and text classification of social data at Masters level resulting in software products that allow digital marketers to: • identify online sentiment and sales leads • dynamically generate and activate ad campaigns "just in time" based on real-time signals • generate tailored, targeted audiences based on real-time conversations Commercially aware, quick to grasp new skills, technologies and to develop creative and innovative solutions to complex business problems. Specialties include, but not limited to: • C#, VB.NET, ASP.NET, .NET Core, Win Forms, Windows Services • Web Services (ASMX / RESTful / WCF), Web API • Application Architecture (MVC, MVVM, N-Tier, SOA) • Design Patterns, Globalization, OOP, UML • AJAX, Bootstrap, CSS, HTML, JavaScript, XML, XSLT • Microsoft Bot Framework, Cognitive Services • Machine Learning, Natural Language Processing, Sentiment Analysis • OAuth , Stripe API, Facebook API, Instagram Graph API, Twitter API • Git, TFS, Visual Studio • Azure, Data Migration, Entity Framework, SSIS, MS SQL Server, Oracle, SQL • Agile Development, TDD, Waterfall Development • NUnit, Unit Testing • Business Analysis, Business Process Improvement, Requirements Gathering • Project Management, Training/Mentoring domestic and offshore teams Find out more about me and what I've been upto on my blog at: www.jamiemaguire.net
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 12
    • duration 1:04:32
    • Release Date 2022/11/26