Generative AI Foundations: IT Integration with Generative AI





In the rapidly evolving landscape of information technology (IT), the integration of generative artificial intelligence (AI) is becoming increasingly essential. Generative AI, a branch of artificial intelligence, is responsible for generating content, such as text, images, and even code that is often indistinguishable from that created by humans. This course is designed to provide IT professionals with the knowledge and practical skills to leverage generative AI in the field of IT administration. Begin this course by exploring generative AI concepts and tools. You will learn how to deploy generative AI models and apply generative AI techniques on Azure. Then you will investigate how to create effective prompts and how to integrate your organization’s data with Azure OpenAI models. Next, you will focus on analyzing generative AI models, automating tasks, and integrating generative AI tools. Finally, you will discover security concerns with using generative AI, find out how to apply security protocols, and troubleshoot generative AI. At the end of this course, you will be able to apply Generative AI models to address real-world IT administration challenges.




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Generative AI Foundations: IT Integration with Generative AI

  • describe generative AI fundamentals and concepts, including how they can be applied on Azure
  • identify generative AI tools and services on Azure and describe how they can be used to deploy and experiment with generative models
  • deploy and manage generative AI models on Azure
  • identify generative AI techniques and how to apply them effectively using Azure
  • enhance the performance of generative AI models on Azure using prompt engineering
  • use Azure OpenAI models on your organization's data to provide a powerful conversational AI platform enabling faster and more accurate communication
  • analyze generative AI models and results within Azure, enabling data-driven decisions and insights
  • automate the generation of a knowledge base for a corpus of data using generative AI and Azure AI Search to improve efficiency and productivity
  • integrate a custom knowledge base from Azure Language Studio to an Azure AI bot resource to create a custom question-answering chatbot
  • describe security considerations when using generative AI on Azure and identify best practices for securing AI applications
  • apply security protocols and practices for generative AI applications running on Azure
  • diagnose and resolve issues related to the integration of generative AI models on Azure cloud


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