Develop Custom Copilots with Azure AI Studio

Develop Custom Copilots with Azure AI Studio (AI-3016)

Course Length: 1 day
Delivery Methods: Multiple delivery options
Course Overview

Embark on a transformative journey to harness the power of AI with our course, Develop Custom Copilots with Azure AI Studio. Designed with both individuals and companies in mind, this course offers an engaging introduction to Azure AI Studio’s capabilities, offering you the tools to leverage AI in dynamic and innovative ways. Whether you're looking to enhance your team's skills or embark on an individual learning path, this course is tailored to help you unlock the potential of Azure AI Studio.

The course begins with an introduction to Azure AI Studio, where you will explore what it is, understand its functionalities, and learn when to apply its use cases. This foundational knowledge prepares you for the next step, exploring and deploying models from the model catalog in Azure AI Studio. You’ll learn to navigate the language models, deploy models to endpoints, and improve model performance, equipping you with practical skills in model optimization and deployment.

As you advance, you'll get started with prompt flow, an important component for developing language model applications within Azure AI Studio. You'll gain insights into the development lifecycle of a large language model app, discovering core components, flow types, connections, and monitoring options. This understanding is further enhanced as you build a RAG-based copilot solution. Here, you’ll learn to integrate your data, making it searchable and using prompt flow to construct an effective copilot.

Integrate and fine-tune language models with your copilot to fully utilize Azure AI Studio's capabilities. This lesson guides you through deciding when to fine-tune, preparing data for a chat completion model, and exploring fine-tuning techniques, allowing you to tailor the models to your specific needs.

The course also covers evaluating the performance of your custom copilot within Azure AI Studio. Through this lesson, you'll assess model performance, conduct manual evaluations, and refine your copilot's efficacy, ensuring robust and reliable AI solutions.

Finally, you'll learn about responsible generative AI. Plan and operate a responsible AI solution by identifying, measuring, and mitigating potential harms. This lesson empowers you to ensure that your AI applications are ethical and socially responsible, aligning with industry standards and best practices.

Upon completion of the course, you will be adept at building and deploying custom copilots using Azure AI Studio, with skills in AI model integration, evaluation, and the implementation of responsible AI practices. This course is an essential stepping stone for advancing your enterprise’s AI capabilities or enhancing your personal expertise in the ever-evolving field of artificial intelligence.

Course Benefits
  • Understand and harness the power of Azure AI Studio.
  • Gain insights into Azure AI Studio's functionalities.
  • Recognize scenarios for implementing Azure AI Studio.
  • Discover and deploy language models from Azure AI Studio's catalog.
  • Utilize endpoints to put models into action.
  • Optimize language model performance effectively.
  • Get acquainted with developing LLM apps using prompt flow.
  • Identify core components and examine flow types.
  • Connect and utilize varied execution environments.
  • Investigate options for system variations and monitoring.
  • Create a RAG-based copilot with personalized data.
  • Empower your language model with proper data grounding.
  • Ensure your data's accessibility and searchability.
  • Develop copilots using prompt flow methodologies.
  • Integrate and enhance copilots using fine-tuned models.
  • Know when and how to refine language models effectively.
  • Prepare datasets for chat completion model tuning.
  • Explore integration strategies for enhancing copilot functions.
  • Analyze the efficiency of custom copilots.
  • Manually evaluate the success of model implementations.
  • Assess and refine the overall performance of your copilot.
  • Construct responsible AI solutions within Azure AI Studio.
  • Identify and measure potential risks inherent in AI projects.
  • Implement strategies to reduce associated risks.
  • Manage and maintain a dependable AI solution responsibly.
Available Delivery Methods
Public Class
Public expert-led online training from the convenience of your home, office or anywhere with an internet connection. Guaranteed to run .
Private Class
Private classes are delivered for groups at your offices or a location of your choice.
Microsoft Certified Partner

Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline
  1. Introduction to Azure AI Studio
    1. What is Azure AI Studio?
    2. How does Azure AI Studio work
    3. When to use Azure AI Studio
  2. Explore and deploy models from the model catalog in Azure AI Studio
    1. Explore the language models in the model catalog
    2. Deploy a model to an endpoint
    3. Improve the performance of a language model
  3. Get started with prompt flow to develop language model apps in the Azure AI Studio
    1. Understand the development lifecycle of a large language model (LLM) app
    2. Understand core components and explore flow types
    3. Explore connections and runtimes
    4. Explore variants and monitoring options
  4. Build a RAG-based copilot solution with your own data using Azure AI Studio
    1. Understand how to ground your language model
    2. Make your data searchable
    3. Build a copilot with prompt flow
  5. Integrate a fine-tuned language model with your copilot in the Azure AI Studio
    1. Understand when to fine-tune a language model
    2. Prepare your data to fine-tune a chat completion model
    3. Explore fine-tuning language models in Azure AI Studio
  6. Evaluate the performance of your custom copilot in the Azure AI Studio
    1. Assess the model performance
    2. Manually evaluate the performance of a model
    3. Assess the performance of your custom copilot
  7. Responsible generative AI in AI Studio
    1. Plan a responsible generative AI solution
    2. Identify potential harms
    3. Measure potential harms
    4. Mitigate potential harms
    5. Operate a responsible generative AI solution
Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Copilot class:

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.

Live Public Class
$681.10 / student
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Live Private Class
  • Private Class for your Team
  • Live training
  • Online or On-location
  • Customizable
  • Expert Instructors
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