Azure AI Foundry is a platform designed for AI development on Microsoft Azure. It helps developers build AI applications efficiently by providing tools for resource management, collaboration, and AI model development.

Key Features:

  • Hubs & Projects: Organize AI resources, assets, and code. Hubs manage shared resources, while projects allow teams to collaborate on specific AI solutions.
  • Model Catalog: Access and deploy machine learning models from sources like Azure OpenAI and Hugging Face.
  • Playgrounds: Test prompts with generative AI models.
  • Fine-Tuning: Customize AI models using training prompts.
  • Prompt Flow: Define logic for AI interactions.
  • Security & Access Control: Manage user roles and permissions centrally.

Here are some examples of projects built using Azure AI Foundry:

1. AI-Powered Flight Booking Agent

  • A conversational AI agent that helps users find flights based on their preferences.
  • Uses Azure AI Agent service to interact with users and provide flight details.
  • Demonstrates the potential of Azure’s conversational AI capabilities.

2. Generative AI Model Deployment

  • Developers can deploy models like GPT-4o-mini for AI applications.
  • Fine-tuning and prompt orchestration using Prompt Flow.
  • Helps businesses customize AI models for specific use cases.

3. Embedded AI Samples for Developers

  • A collection of open-source AI projects available on GitHub.
  • Includes notebooks and sample code for AI Foundry scenarios.
  • Developers can experiment with AI models and integrate them into applications.

Here’s how you can start your Azure AI Foundry project:

1. Define Your AI Goal

  • Identify what you want to achieve with AI (e.g., chatbots, predictive analytics, automation).
  • Choose whether you need pre-trained models or want to fine-tune your own.

2. Set Up Your AI Foundry Environment

  • Access Azure AI Foundry via the Azure portal.
  • Create a Hub to manage AI resources and a Project to collaborate with teams.

3. Explore AI Models

  • Use the Model Catalog to access OpenAI models, Hugging Face models, and other AI solutions.
  • Experiment with different models in the Playground.

4. Fine-Tune Your Model

  • Train models using Prompt Flow to customize responses.
  • Use Fine-Tuning to make your AI more aligned with your specific use case.

5. Deploy and Test

  • Deploy your AI solution to cloud services or integrate with applications.
  • Test responses and improve logic with AI Foundry’s orchestration tools.