AI-3016: Develop custom copilots with Azure AI Studio

Name: AI-3016: Develop custom copilots with Azure AI Studio
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AI-3016 Course: Develop custom copilots with Azure AI Studio

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 flows to deliver value to users.

Intermediate - Data Scientist - AI Engineer - Azure AI Services

Access to the virtual classroom training AI-3016

Course aimed at

AI-3016 Course Content

Module 1 Introduction to Azure AI Foundry

What is Azure Studio Artificial Intelligence?
How Azure Studio AI Works
Description of natural language processing
When to use Azure Studio Artificial Intelligence
Exercise: Explore Azure Studio Artificial Intelligence

Module 2: Browsing and deploying models from the Model Catalog in the Azure AI Foundry portal

Browsing language models in the model catalog
Deploying a model to an endpoint
Improving the performance of a language model
Exercise: Exploring, Implementing, and Chatting with Language Models

Module 3: Introduction to the prompt flow for developing language model applications in Azure Studio AI

Description of the Large Language Model (LLM) Application Development Lifecycle
Understanding the main components and exploring flow types
Connection and runtime exploration
Exploring variants and monitoring options
Exercise: Introduction to the notification flow

Module 4: Building a RAG-based Copilot Solution with Your Own Data Using Azure Studio Artificial Intelligence

Information on how to establish the language model
Making data discoverable
Creating a Copilot with a notification flow
Exercise: Creating a custom copilot using your own data

Module 5: Tuning a Language Model with Azure AI Foundry

Understanding when to optimize a language model
Preparing data to optimize a chat completion model
Exploring AI Optimization Language Models in Azure Studio
Exercise: Adjusting a base model

Module 6: Evaluating the Performance of Generative AI Applications with Azure AI Foundry

Model performance evaluation
Manually Evaluating Model PerformanceEvaluating the Performance of Generative AI Applications
Exercise: Evaluating the performance of the generative AI application

Module 7 Responsible generative artificial intelligence

Planning a Responsible Generative AI Solution
Identification of possible damage
Measuring possible damage
Mitigation of possible damages
Operation of a responsible generative artificial intelligence solution
Exercise: Exploring Content Filters in Azure Studio AI

Prerequisites

Language

Microsoft Applied Skills

Course aimed at

AI-3016 Course Content

Module 1 Introduction to Azure AI Foundry

What is Azure Studio Artificial Intelligence?
How Azure Studio AI Works
Description of natural language processing
When to use Azure Studio Artificial Intelligence
Exercise: Explore Azure Studio Artificial Intelligence

Module 2: Browsing and deploying models from the Model Catalog in the Azure AI Foundry portal

Browsing language models in the model catalog
Deploying a model to an endpoint
Improving the performance of a language model
Exercise: Exploring, Implementing, and Chatting with Language Models

Module 3: Introduction to the prompt flow for developing language model applications in Azure Studio AI

Description of the Large Language Model (LLM) Application Development Lifecycle
Understanding the main components and exploring flow types
Connection and runtime exploration
Exploring variants and monitoring options
Exercise: Introduction to the notification flow

Module 4: Building a RAG-based Copilot Solution with Your Own Data Using Azure Studio Artificial Intelligence

Information on how to establish the language model
Making data discoverable
Creating a Copilot with a notification flow
Exercise: Creating a custom copilot using your own data

Module 5: Tuning a Language Model with Azure AI Foundry

Understanding when to optimize a language model
Preparing data to optimize a chat completion model
Exploring AI Optimization Language Models in Azure Studio
Exercise: Adjusting a base model

Module 6: Evaluating the Performance of Generative AI Applications with Azure AI Foundry

Model performance evaluation
Manually Evaluating Model PerformanceEvaluating the Performance of Generative AI Applications
Exercise: Evaluating the performance of the generative AI application

Module 7 Responsible generative artificial intelligence

Planning a Responsible Generative AI Solution
Identification of possible damage
Measuring possible damage
Mitigation of possible damages
Operation of a responsible generative artificial intelligence solution
Exercise: Exploring Content Filters in Azure Studio AI

Prerequisites

Language

Microsoft Applied Skills

Customer Review

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AI-3016: Develop custom copilots with Azure AI Studio

Do you want to take this course remotely or in person?

AI-3016 Course: Develop custom copilots with Azure AI Studio

Intermediate - Data Scientist - AI Engineer - Azure AI Services

Module 1 Introduction to Azure AI Foundry

Module 2: Browsing and deploying models from the Model Catalog in the Azure AI Foundry portal

Module 3: Introduction to the prompt flow for developing language model applications in Azure Studio AI

Module 4: Building a RAG-based Copilot Solution with Your Own Data Using Azure Studio Artificial Intelligence

Module 5: Tuning a Language Model with Azure AI Foundry

Module 6: Evaluating the Performance of Generative AI Applications with Azure AI Foundry

Module 7 Responsible generative artificial intelligence

Module 1 Introduction to Azure AI Foundry

Module 2: Browsing and deploying models from the Model Catalog in the Azure AI Foundry portal

Module 3: Introduction to the prompt flow for developing language model applications in Azure Studio AI

Module 4: Building a RAG-based Copilot Solution with Your Own Data Using Azure Studio Artificial Intelligence

Module 5: Tuning a Language Model with Azure AI Foundry

Module 6: Evaluating the Performance of Generative AI Applications with Azure AI Foundry

Module 7 Responsible generative artificial intelligence

Write Your Experience

Information related to training

Training support: Always by your side

Do you need another training modality?

Bonuses for companies

Register here to receive invitations to events and other Nanfor activities

Quick links

AI-3016: Develop custom copilots with Azure AI Studio

Do you want to take this course remotely or in person?

AI-3016 Course: Develop custom copilots with Azure AI Studio

Intermediate - Data Scientist - AI Engineer - Azure AI Services

Write Your Experience

Information related to training

Training support: Always by your side

Do you need another training modality?

Bonuses for companies

Register here to receive invitations to events and other Nanfor activities