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LinkedIn Learning

Foundational AI Skills for Azure Administration

via LinkedIn Learning Path

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Overview

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Explore cloud-based AI with this learning path. Enhance productivity and optimize workflows by integrating AI strategies into your Azure environment. This series covers essential tools like Azure AI cognitive services, Microsoft Responsible AI principles, and AI applications in business. Elevate your skills to harness cloud AI and drive innovation in your organization.
  • Identify the core components of Azure AI toolsets.
  • Apply the Microsoft Responsible AI principles.
  • Implement AI solutions using Azure cognitive services.
  • Evaluate data fairness and model outcomes.

Syllabus

Courses under this program:
Course 1: Generative AI and Predictive AI in the Cloud: Foundational Concepts and Scenarios
-Discover this easy-to-understand course for beginners that teaches the fundamentals of generative AI and predictive AI, as well as how they can relate to cloud computing.

Course 2: Understanding Generative AI in Cloud Computing: Services and Use Cases
-Learn how to get started using cloud-based generative AI services and tools.

Course 3: Azure AI Studio First Look
-Get a quick first look at Azure AI Studio and begin exploring its capabilities.

Course 4: Azure AI: The Big Picture
-Get a high-level look at the built-in features and core components of the Azure AI toolset.

Course 5: Azure AI Services Essential Training
-Get an overview of the basic cognitive services available in Azure: vision, speech, language, language, search, content safety, translator, and document intelligence.

Course 6: Apply Ethical AI Principles Using the Responsible AI Dashboard
-Learn how to operationalize responsible AI in your machine learning models.

Courses

Taught by

Thomas Erl, David Linthicum, Walt Ritscher, Sahil Malik and Rodrigo Díaz Concha

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