Special offers now — see discounted courses.
day
:
hour
:
min
:
sec
See special offers
Azure OpenAI: Advanced Topics

Azure OpenAI: Advanced Topics

1h 8mAdvanced2024-11-25

Authors

Rodrigo Díaz Concha

Rodrigo Díaz Concha

Solutions Architect, Microsoft Regional Director, and Microsoft MVP

Course details

In this course, instructor Rodrigo Diaz Concha helps Azure developers and architects advance their skills with Azure OpenAI. From monitoring and securing OpenAI services to creating custom models and integrating with other Azure services and resources, develop the skills you need to implement Azure OpenAI Service into your software solutions.

Learning objectives
Identify how to use monitoring tools in Azure for your Azure OpenAI Service resources.
Apply security principles to your Azure OpenAI Service resources.
Determine how to create a custom model using fine tuning techniques.
Explain how to use different Azure services together with your Azure OpenAI Service resources.

Skills covered

Azure OpenAIArtificial Intelligence for DesignCloud AdministrationAI Productivity ToolsGenerative AIArtificial Intelligence FoundationsVideoAzurePhotographyGraphic DesignCloud PlatformsArtificial Intelligence (AI)Animation and IllustrationCloud ComputingBusiness Software and ToolsMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Diving into the Azure OpenAI Service
  • 02 - Skill and system prerequisites

1. Monitoring Azure OpenAI Service

  • 03 - Configuring and querying logs
  • 04 - Identifying resource behavior by using metrics
  • 05 - Getting the most out of alerts
  • 06 - Metrics in the Azure OpenAI Studio
  • 07 - Risks and safety monitoring for deployed models

2. Securing Azure OpenAI Service

  • 08 - Role-based access control in the Azure OpenAI Service
  • 09 - Using Microsoft Entra ID
  • 10 - Using managed identities
  • 11 - Using private endpoints and VNets
  • 12 - Using Azure Key Vault

3. Integrating with Azure Services and Resources

  • 13 - Invoking Azure OpenAI Service from Azure Functions
  • 14 - Calling Azure Logic Apps as functions using the Assistants API
  • 15 - Load balancing with Azure API Management

4. Creating a Custom Model Through Fine-Tuning

  • 16 - Preparing the data for fine-tuning
  • 17 - Creating a custom model through fine-tuning
  • 18 - Deploying and testing the custom model

Conclusion

  • 19 - Resources for learning more about Azure OpenAI

Related courses

Related learn paths

About us

LyndaKade is a leading learning platform that helps people learn business, software, technology, and creative skills to achieve personal and professional goals.

Phone numberAparat ChannelTelegram SupportTelegram ChannelInstagram Page

All rights to this site belong to LyndaKade.

Terms of Service|Privacy Policy

نماد الکترونیک enamad در صورت اتصال با آی‌پی داخل کشور، نمایش داده خواهد شد.
logo-samandehi - لوگو ساماندهی
zarinpal
zibal