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Building in Azure AI Foundry (Formerly Azure AI Studio)
55mIntermediate2024-12-13
Authors
Bryan Li
Founder of Cyber Tech & Risk, Chief Catalyst at Enlighteni
Course details
Azure AI Studio is a unified development platform for managing, building, evaluating, and deploying your artificial intelligence solutions. In this course, instructor Bryan Li dives into this essential topic, teaching AI developers, architects, and technical decision-makers how to get started quickly with Azure AI Studio to build generative AI applications using your data, examples, and content filters. Explore capabilities like comparing model benchmarks, incorporating multimodality, creating prompt flows, and performing manual and metric evaluations.
Skills covered
Azure OpenAIProgramming FoundationsGenerative AIArtificial Intelligence FoundationsAzureSoftware Development ToolsArtificial Intelligence (AI)MicrosoftSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Build your AI solutions with Azure AI Foundry
- 02 - What you should know
1. Overview of Azure AI Foundry
- 03 - What is Azure AI Foundry
- 04 - Azure AI hubs
2. Build Your AI Application
- 05 - Create your Azure AI project
- 06 - Explore and deploy AI models
- 07 - Use Playground and system message
- 08 - Use your data
- 09 - Create content filters
- 10 - Deploy your AI application
3. Use Advanced Capabilities
- 11 - Incorporate multimodality
- 12 - Create a prompt flow from Playground
- 13 - Create a chat flow
- 14 - Evaluate your AI solution
- 15 - Create a metric evaluation
Conclusion
- 16 - Next steps
Related courses
- Building in Azure AI Foundry
- Building RAG Solutions with Azure AI Foundry (Formerly Azure AI Studio)
- Build with AI: Building Prompt Flows with Azure AI Foundry
- Azure AI for Developers: OpenAI Services and Generative AI Models
- Building Agents Using the Azure AI Foundry Agent Service
- Building Assistants with Azure AI Foundry
- Build with AI: Building a Copilot with Azure AI Foundry
- Complete Guide to Azure AI for ML Engineers by Microsoft Press
Related learn paths
- Understanding Generative AI for Tech Leaders
- Master Retrieval-Augmented Generation (RAG)
- Build AI Products Using Azure AI Services in Your Development Lifecycle
- Advance Your Data Skills in Apache Spark
- Fundamentals to Become a Machine Learning Engineer
- Explore AI for Data Engineering
- Mastering Executive-Level Data Analytics
- AI Boot Camp for Small and Medium-Sized Businesses (SMBs)