AI-3018: Copilot Foundations Course Outline
Special Note to New Hampshire ResidentsThis course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
Overview
This course provides a comprehensive introduction to the fundamentals and applications of generative AI, emphasizing practical skills in using Microsoft and Azure tools. Participants will learn about the evolution of AI, understand the role of language models in intelligent applications, and explore the creation and management of AI projects. The course is designed to equip learners with the ability to build and optimize AI copilots, enhancing their capabilities in developing advanced AI solutions.
By the end of this course, students will be proficient in using Microsoft Copilot Studio and Azure AI Studio to create, test, and deploy AI copilots. Hands-on labs and real-world examples ensure that participants gain practical experience in managing AI resources and leveraging Retrieval Augmented Generation to build custom AI solutions grounded in their own data.
Audience Profile
This course is ideal for AI enthusiasts, data scientists, and IT professionals interested in advancing their skills in generative AI and AI project management. It is also suitable for business analysts and technical leads who are involved in developing or managing AI-driven solutions.
Prerequisites
TBD
COURSE OUTLINE
Module 1: Fundamentals of Generative AI
Understand generative AI's place in the development of artificial intelligence
Understand language models and their role in intelligent applications
Describe examples of copilots and good prompts
Lab: Explore Microsoft Copilot
Module 2: Get started with Microsoft Copilot Studio
Create copilots
Test copilots
Analyze performance
Lab: Microsoft Copilot Studio
Module 3: Introduction to Azure AI Studio
Describe core features and capabilities of Azure AI Studio
Use Azure AI Studio to provision and manage an Azure AI resource
Use Azure AI Studio to create and manage an AI project
Understand when to use Azure AI Studio
Lab: Explore Azure AI Studio
Module 4: Build a RAG-based copilot solution with your own data using Azure AI Studio
Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
Index your data with Azure AI Search to make it searchable for language models
Build a copilot using RAG on your own data in the Azure AI Studio
Lab: Create a custom copilot that uses your own data
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