Azure AI Foundry¶
Azure AI Foundry is the web-based portal that serves as your central hub for AI development. It provides a project-based environment where all paths lead to organized, collaborative AI development.
The Azure AI Foundry homepage provides a centralized interface for accessing all AI development tools and features
Key Features¶
1. Project-Based Development¶
- Projects as containers for all AI work
- Easy-to-manage development spaces
- Integrated collaboration tools
- Resource organization and management
2. Model Exploration¶
- Browse models before project creation
- Test AI services and capabilities
- Compare model performances
- Select optimal solutions for your needs
3. Development Workflow¶
- Define and explore phase tools
- Build and customize capabilities
- Assessment and improvement features
- Production preparation tools
4. Enterprise Features¶
- Team collaboration support
- Resource governance
- Access management
- Usage monitoring and quotas
Working in AI Foundry¶
1. Before Project Creation¶
- Explore available models
- Test AI services
- Evaluate capabilities
- Plan your development approach
2. Project-Based Development¶
- Create or join projects
- Connect to data sources
- Deploy models
- Monitor performance
- Collaborate with team members
The project overview page shows key resources, deployments, and development stages for your AI project
3. Management and Monitoring¶
- Track resource usage
- Manage team access
- Monitor deployments
- Evaluate performance
Best Practices¶
- Start with clear project goals
- Utilize project containers for organization
- Implement proper access controls
- Monitor resource usage
- Regular performance evaluation
- Follow responsible AI practices
Getting Access¶
- Basic exploration available without sign-in
- Full functionality requires Azure account
- Project creation needs proper permissions
- Team access management through Management Center
Interactive Tutorial¶
To get hands-on experience with Azure AI Foundry, try our interactive Quick Start notebook:
This notebook will guide you through: - Initializing the AI Project client - Listing available models - Creating simple completions - Handling common errors
Next: Learn about Installing the SDK