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LinkedIn Learning

Foundational AI Skills for Azure Administration

via LinkedIn Learning Path

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Overview

Build foundational Azure skills in generative AI and predictive AI. Grasp core concepts and explore generative AI cloud services and use cases. Gain hands-on experience with the Microsoft Azure ecosystem and develop essential skills for deploying AI solutions. Learn to apply ethical AI principles using the Responsible AI dashboard, ensuring responsible AI practices in your organization’s initiatives.
  • Analyze cloud-based generative AI services.
  • Understand how to use Azure AI Services.
  • Practice responsible AI principles.

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 like Amazon SageMaker, Google Cloud AI Platform, OpenAI, ChatGPT, and more.

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 what’s contained in the Azure AI toolset.

Course 5: Azure AI Services Essential Training
-Explore some of the core functionalities of Azure Cognitive Services including vision, speech, language, and decision-making.

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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