AI-3018: Copilot Foundations Course Overview

Discover the power of AI solutions with the AI-3018: Copilot Foundations course. This course fully prepares you to adopt, use and build intelligent copilots using Generative AI and Language Models. You will learn how to use Azure AI Studio and maximize your understanding of managing AI resources, provisioning projects and developing AI applications.

In this course, you will learn how AI Copilot Solutions can help automate tasks and increase productivity. Through labs, you will build a RAG-based Copilot Solution using your own data and understand how to index and retrieve your data using Azure AI Search. This course integrates conceptual knowledge and hands-on experience  by walking you through the process of creating, testing and analyzing copilot solutions and using those to address business problems.

Upon completion of this course, you'll develop the skills you need to apply your AI and automation skills to improve your work. This course will prepare you to successfully use AI copilots into business workflows. As the Best Company for Training, you will not find a better experience, and you will obtain the skills to use Azure AI Studio and remain on top this fast-paced and evolving technology landscape. 


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Learning Options for You

  • Live Training (Duration : 8 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

Familiarity with Azure and the Azure portal: Understanding of Azure services and navigation within the portal is recommended.

Learning Objectives

AI-3018: Copilot Foundations is a one-day course designed to help professionals adopt, use, and create copilots with AI models. The course covers the fundamentals of generative AI, introduces Microsoft Copilot Studio for building and testing copilots, and explores Azure AI Studio for developing AI solutions. Through practical labs, participants will learn to build Retrieval Augmented Generation (RAG)-based copilot solutions using their own data, enhancing productivity and task automation. 

Target Audience

  • AI Developers: Professionals looking to integrate AI copilots into applications.
  • Data Scientists: Individuals interested in leveraging generative AI for data analysis and automation.
  • Machine Learning Engineers: Engineers aiming to build and deploy AI models.
  • IT Consultants: Advisors assisting organizations in adopting AI solutions.
  • Software Developers: Developers seeking to enhance applications with AI capabilities.
  • Cloud Architects: Professionals designing AI solutions on cloud platforms.
  • Technical Project Managers: Managers overseeing AI project implementations.
  • System Administrators: Administrators managing AI infrastructure.
  • Business Intelligence Analysts: Analysts utilizing AI for data-driven insights.
  • Technology Managers: Managers leading AI initiatives within organizations.

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