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Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure

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Emilio Melo

1:05:58

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  • 01.01-getting started with the ai-900 machine learning exam.mp4
    01:37
  • 01.02-overview of the azure fundamentals certification.mp4
    04:32
  • 02.01-what is machine learning.mp4
    04:37
  • 02.02-practice types of machine learning.mp4
    01:38
  • 02.03-machine learning services in azure.mp4
    07:08
  • 02.04-creating an azure ml resource.mp4
    05:34
  • 03.01-machine learning definitions.mp4
    03:44
  • 03.02-the machine learning process data steps.mp4
    05:39
  • 03.03-the machine learning process model steps.mp4
    06:50
  • 03.04-creating an azure ml model.mp4
    09:46
  • 03.05-model evaluation metrics.mp4
    05:45
  • 03.06-performing model evaluation.mp4
    01:57
  • 04.01-overview of the azure automl.mp4
    02:59
  • 04.02-using azure automl.mp4
    02:41
  • 05.01-azure ml additional resources.mp4
    01:31
  • Description


    AI and machine learning are no longer a distant dream. All over the world, companies are turning to cloud technologies such as Azure to automate mission-critical workflows. In this course, instructor Emilio Melo walks through the most important skills and principles of machine learning on Azure to prepare you for the second domain of the Microsoft Azure AI Fundamentals (AI-900) certification exam. Learn how to create and optimize models on Azure ML, increase model prediction performance with AutoML, and manage, deploy, use, and monitor your models, tweaking and redefining them as you go. 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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    It has been a fun and exciting career so far! On these past 20+ years of IT, I have: • Worked on support, consultancy, teaching, project and department management, and sales. That allowed me to have a well-rounded, holistic view of the IT industry; • Operated on 7 distinct countries in 4 continents (Americas/Europe/Oceania/Asia), which has taught me incredibly valuable lessons on multiculturalism and adaptability, so important on today’s dynamic and globalized business environment; • Been part of companies with enormous discrepancies in size (from 10 to 400,000 employees), stages (from start-ups to centenary organizations), and industries (IT, Insurance, Finance, Travel, News…), which gave me the clarity that every company is unique in terms of organizational culture and IT needs; Lately, after so many years on the On-Premises world, I have dedicated my time and expertise to Cloud and Data Sciences (Machine Learning/AI) technologies. That's the future, on which I truly believe! The potential for cost savings, better leveraging of computing resources, and intelligent solutions are breathtaking! If you’re not yet entirely convinced of such potential, feel free to connect and invite me for a chat. I’ll be glad to share my passionate, yet not unjustified, views on these subjects. Skills: • On-Premises/Server Technologies: SharePoint (2007/2016), SharePoint Designer/Workflow, InfoPath, Workflow Manager, Office Web Server, BCS, Project Server, SQL Server, SSIS, IIS, Visio, Windows, Active Directory, Exchange, Debugging Tools, OCS/Lync; • Development: PowerShell, Display Templates, REST API, C#, SQL development, HTML, JavaScript/jQuery, CSS/Bootstrap, Web Services, LINQ, Entity Framework, XML/JSON, ASP.NET, TFS, GIT, R; • Cloud/Data Sciences: Azure VMs, Azure Tables/Blobs, Microsoft Cognitive Services, LUIS, BOT Framework, Azure ML, Power BI, Azure SQL, SQL IaaS, Google AutoML Vision; • Management: MBA, Project Management (PMP), MS Project; • Languages: Portuguese, Spanish, English;
    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 15
    • duration 1:05:58
    • Release Date 2023/09/21