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AI - 3018 : Copilot Foundations Training

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( 4.3 Ratings )

Live Online Classes starting on 01 January, 1970

AI - 3018 : Copilot Foundations

AI - 3018 : Copilot Foundations is a one-day course designed to help you adopt, use, and create copilots with AI models. With a focus on boosting productivity and automating tasks, you'll explore Generative AI and the role of Language models in intelligent applications. Dive into the basics with Microsoft Copilot Studio, where you'll learn to create, test, and analyze copilots.Practical labs will guide you through using Azure AI Studio for provisioning, managing AI resources, and creating AI projects. Additionally, you'll build a RAG-based copilot solution using your data, learning to index data with Azure AI Search and grounding your language model effectively. This dynamic course offers a blend of theoretical knowledge and practical skills to master copilot technology.

 

Course Prerequisites:

To successfully undertake training in the AI-3018: Copilot Foundations course, students should have a basic understanding of the following:

  • Familiarity with Azure and the Azure portal.

These prerequisites ensure that learners have a foundational knowledge to effectively engage with the course material and maximize the benefits from the training sessions. If you're comfortable with navigating Azure, you're well-prepared to embark on this course and start building your skills in creating and managing copilot solutions using AI.

 

Target Audience:

AI-3018: Copilot Foundations is a one-day course designed for professionals familiar with Azure, aiming to leverage AI copilots for enhanced productivity and task automation.

  • AI Developers

  • Data Scientists

  • Machine Learning Engineers

  • IT Consultants

  • Software Developers

  • Cloud Architects

  • Technical Project Managers

  • System Administrators

  • Business Intelligence Analysts

  • Technology Managers

 

Course Outline:

Module 01: Fundamentals of Generative AI

  • Understand the role of generative AI in the evolution of artificial intelligence.

  • Explore language models and their significance in intelligent applications.

  • Describe examples of copilots and effective prompting techniques.

Module 02: Get Started with Microsoft Copilot Studio

  • Create copilots using Microsoft Copilot Studio.

  • Test the functionality and responsiveness of the created copilots.

  • Analyze performance metrics to evaluate the effectiveness of your copilots.

Module 03: Introduction to Azure AI Studio

  • Describe the core features and capabilities of Azure AI Studio.

  • Use Azure AI Studio to provision and manage Azure AI resources.

  • Create and manage AI projects within Azure AI Studio.

  • Understand the appropriate scenarios for utilizing Azure AI Studio.

Module 04: Build a RAG-based Copilot Solution with Your Own Data Using Azure AI Studio

  • Identify the importance of grounding language models with Retrieval Augmented Generation (RAG).

  • Index your data using Azure AI Search to enhance searchability for language models.

  • Develop a copilot using RAG on your own data within Azure AI Studio.

(4.3 Ratings)

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