This repository offers training materials and hands-on labs for building agentic AI solutions using Microsoft's AI capabilities. It targets developers and researchers interested in creating, orchestrating, and deploying multi-agent systems for enterprise applications. The benefit is a structured learning path with practical examples and reference architectures.

How It Works

The workshop focuses on practical implementation, providing reference architectures, backend APIs, and step-by-step lab exercises. It guides users through designing, developing, and evaluating AI agent solutions, leveraging Microsoft's AI technologies. The approach emphasizes hands-on learning for real-world enterprise scenarios.

Quick Start & Requirements

• Install: Follow lab-specific instructions for setup.
• Prerequisites: Access to Microsoft AI technologies (e.g., Azure OpenAI Service), potentially specific SDKs or development environments as detailed in individual labs.
• Resources: Labs may require cloud compute resources and API keys.

Highlighted Details

• Focus on Agentic AI and multi-agent systems.
• Includes reference architectures and backend APIs.
• Provides practical labs and step-by-step exercises.
• Aimed at enterprise-scale AI solutions.

Maintenance & Community

This repository is maintained by Microsoft. Further community engagement details, such as specific forums or contribution guidelines, are not detailed in the provided README.

Licensing & Compatibility

The repository's license is not specified in the provided README. Compatibility for commercial use or closed-source linking would depend on the underlying Microsoft AI technologies used and any specific licensing terms associated with them.

Limitations & Caveats

The repository's content is focused on Microsoft AI technologies, potentially limiting applicability for users not within the Microsoft ecosystem. Specific dependencies and setup complexity will vary per lab.