Advent of 2024, Day 25 – Microsoft Azure AI – Documentation and learning path for Azure AI Foundry
This article is originally published at https://tomaztsql.wordpress.com
In this Microsoft Azure AI series:
- Dec 01: Microsoft Azure AI – What is Foundry?
- Dec 02: Microsoft Azure AI – Working with Azure AI Foundry
- Dec 03: Microsoft Azure AI – Creating project in Azure AI Foundry
- Dec 04: Microsoft Azure AI – Deployment in Azure AI Foundry
- Dec 05: Microsoft Azure AI – Deployment parameters in Azure AI Foundry
- Dec 06: Microsoft Azure AI – AI Services in Azure AI Foundry
- Dec 07: Microsoft Azure AI – Speech service in AI Services
- Dec 08: Microsoft Azure AI – Speech Studio in Azure with AI Services
- Dec 09: Microsoft Azure AI – Speech SDK with Python
- Dec 10: Microsoft Azure AI – Language and Translation in Azure AI Foundry
- Dec 11: Microsoft Azure AI – Language and Translation Python SDK
- Dec 12: Microsoft Azure AI – Vision and Document AI Service
- Dec 13: Microsoft Azure AI – Vision and Document Python SDK
- Dec 14: Microsoft Azure AI – Content safety AI service
- Dec 15: Microsoft Azure AI – Content safety Python SDK
- Dec 16: Microsoft Azure AI – Fine-tuning a model
- Dec 17: Microsoft Azure AI – Azure OpenAI service
- Dec 18: Microsoft Azure AI – Azure AI Hub and Azure AI Project
- Dec 19: Microsoft Azure AI – Azure AI Foundry management center
- Dec 20: Microsoft Azure AI – Models and endpoints in Azure AI Foundry
- Dec 21: Microsoft Azure AI – Prompt flow in Azure AI Foundry
- Dec 22: Microsoft Azure AI – Prompt flow using VS Code and Python
- Dec 23: Microsoft Azure AI – Tracing in Azure AI Foundry
- Dec 24: Microsoft Azure AI – Evaluation in Azure AI Foundry
Documentation and material for Azure AI Foundry are plentiful and growing on a daily basis, since the topic on AI and GenAI is evermore so popular.
General and best way to start is with Microsoft own product introduction website: https://azure.microsoft.com/en-us/products/ai-studio and later you can scale with different material from many different websites.
Detailed product documentation is on Microsoft learn: https://learn.microsoft.com/en-us/azure/ai-studio/
Video series:
- Udemy classes: https://www.udemy.com/course/azure-ai-studio-mastery-llmops-and-more/
- LinkedIn classes: https://www.linkedin.com/learning/topics/azure-ai-services
- Youtube: https://www.youtube.com/watch?v=nC766APIZFM
Learning paths:
- Introduction to AI Foundry: https://learn.microsoft.com/en-us/training/modules/introduction-to-azure-ai-studio/
- Udacity: https://www.udacity.com/course/azure-generative-ai-engineer–nd444
Books:
- Programming Large Language Models with Azure Open AI (https://www.amazon.com/Programming-Large-Language-Models-Azure/dp/0138280371)
- Azure OpenaAI Services for Cloud Native Applications (https://www.amazon.com/Azure-OpenAI-Service-Native-Applications/dp/1098154991)
- Microsoft Azure AI Fundamentals AI-900 Exam guide (https://www.amazon.com/Microsoft-Azure-Fundamentals-AI-900-Guide/dp/1835885667)
- Getting started with Azure OpenAI (https://www.amazon.com/Getting-Started-Azure-OpenAI-Deploying/dp/B0D8XRQKN9)
Code and samples:
- Github: https://github.com/MicrosoftLearning/mslearn-ai-studio
- Github: https://github.com/MicrosoftDocs/azure-ai-docs
Many introduction articles are available as well as many listings for the use cases.
All of the code samples will be available on my Github.
Merry Christmas and happy new year!
Thanks for visiting r-craft.org
This article is originally published at https://tomaztsql.wordpress.com
Please visit source website for post related comments.