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Create Custom Copilots with Azure AI Studio (AI-3016)
Course 8722
1 DAY COURSE

Price:
Course Outline

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

Create Custom Copilots with Azure AI Studio (AI-3016) Benefits

  • In this course, you will:

    • Engage in practical exercises to build custom copilots and develop language model applications.
    • Understand the full lifecycle of AI development, from conceptualization to implementation.
    • Learn how to implement generative AI responsibly, ensuring ethical considerations and minimizing risks.
    • Gain skills to create tailored AI solutions using your own data, enhancing the relevance and effectiveness of AI applications.

  • Training Prerequisites

    • Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.
    • Consider completing Microsoft Azure AI Fundamentals (AI-900) before attending this 1-Day course.

Azure AI Studio Custom Copilots Training Outline

Module 1: Introduction to Azure AI Studio

  • 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 2: Get Started with Prompt Flow to Develop Language Model Apps

  • Introduction
  • Understand the Development Lifecycle of a Large Language Model (LLM) App
  • Understand Core Components and Explore Flow Types
  • Explore Connections and Runtimes
  • Explore Variants and Monitoring Options
  • Exercise: Get Started with Prompt Flow
  • Knowledge Check
  • Summary

Module 3: Build a RAG-based Copilot Solution with Your Own Data

  • Introduction
  • Understand How to Ground Your Language Model
  • Make Your Data Searchable
  • Build a Copilot with Prompt Flow
  • Exercise: Create a Custom Copilot that Uses Your Own Data
  • Knowledge Check
  • Summary

Module 4: Responsible Generative AI in AI Studio

  • Introduction
  • Plan a Responsible Generative AI Solution
  • Identify Potential Harms
  • Measure Potential Harms
  • Mitigate Potential Harms
  • Operate a Responsible Generative AI Solution
  • Exercise: Explore Content Filters in Azure AI Studio
  • Knowledge Check
  • Summary
Course Dates
Attendance Method

How will you be attending the class?

Selecting 'Live Virtual' allows you to attend remotely from work or home. You will receive email communication well before the class starts with detailed instructions on how to validate your equipment and connect to the classroom for a quality learning experience.

Additional Details (optional)

Private Team Training

Interested in this course for your team? Please complete and submit the form below and we will contact you to discuss your needs and budget.