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Career Advancement
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COURSE DETAILS
Course Code: AI-3018; Duration: 1 Day; Instructor-led
WHAT YOU WILL LEARN
Copilots are quickly becoming a popular way to use with AI models, automate tasks, and improve productivity. In this learning path, you’ll explore options for adopting, using, and creating copilots.
AUDIENCE
- Beginner
- Data Scientist
- AI Engineer
- Azure AI services
PREREQUISITES
Familiarity with Azure and the Azure portal.
METHODOLOGY
This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercises
OUTLINES
Module 1: Fundamentals of Generative AI
In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of copilots that can assist humans in creative tasks.Oracle Database Server Architecture
Learning objectives
By the end of this module, you are able to:
- 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.
Overview
- Introduction
- What is generative AI?
- What are language models?
- Using language models
- What are copilots?
- Microsoft Copilot
- Considerations for Copilot prompts
- Extending and developing copilots
- Exercise – Explore Microsoft Copilot
- Knowledge check
- Summary
Module 2: Get started with Microsoft Copilot Studio
Microsoft Copilot Studio allows organizations to quickly create copilots based on business scenarios their customers and employees can easily interact with as needed. In this module, you’re introduced to key concepts for copilots.
Learning objectives
This module explains how to:
- Create copilots.
- Test copilots.
- Analyze performance.
Overview
- Introduction
- Get started working with environments
- Create copilots and work with the Microsoft Copilot Studio interface
- Create topics
- Enhancing productivity with Generative AI8 min
- Test your copilots
- Publish copilots and analyze performance5 min
- Exercise – Create a copilot with Copilot Studio
- Check your knowledge
- Summary
Module 3: Introduction to Azure AI Studio
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform.
Learning objectives
By the end of this module, you’ll be able to:
- 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
Overview
- Introduction
- What is Azure AI Studio
- How does Azure AI Studio work
- When to use Azure AI Studio
- Exercise – Explore Azure AI Studio
- Knowledge check
- Summary
Module 4: Build a RAG-based copilot solution with your own data using Azure AI Studio
Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio.
Learning objectives
By the end of this module, you’ll be able to:
- 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
Overview
- Introduction
- Understand how to ground your language
- Make your data searchable
- Build a copilot with prompt flow
- Exercise – Create a custom copilot that uses your own data
- Knowledge check
- Summary
