microsoft/FrontierWeekHack

microsoft/FrontierWeekHack

Description: Hands-on Microsoft Foundry hackathon labs to build, monitor, evaluate, and deploy agentic AI workflows.

Language: Python

License: MIT

Stars: 3

Forks: 6

Open issues: 0

Created: 2026-05-19T11:05:53Z

Pushed: 2026-05-24T19:09:49Z

Default branch: main

Fork: no

Archived: no

README:

Build and Scale AI Agents with Azure Hackathon

Welcome to the hands-on lab experience of the Microsoft Cloud & AI Frontier Week Hackathon — where ideas turn into real solutions.

Throughout Frontier Week, you’ve explored how AI is transforming organizations. This is where you put that into practice.

In this lab, you’ll build, monitor, evaluate, and orchestrate AI agents using the Microsoft Foundry SDK. You’ll follow a guided, scenario-based experience designed to help you move from concept to a working, enterprise-ready multi-agent system.

By the end, you won’t just understand how agents work — you’ll have built one you can trace, evaluate, and deploy.

All challenge instructions are also available at microsoft.github.io/FrontierWeekHack.

What You'll Learn

This lab walks you through the full lifecycle of building production-ready AI agents with Microsoft Foundry:

• Agent design — Create purpose-built agents with system prompts, tools, and domain-specific data
• Observability — Instrument agents with OpenTelemetry-based GenAI tracing via Application Insights
• Quality evaluation — Run LLM-as-judge evaluations to systematically measure agent output quality
• Multi-agent orchestration — Wire agents into automated workflows using the Python SDK and the Foundry portal

This is a code-first hackathon — you'll write and run Python throughout. However, several challenges also have you interact with the Microsoft Foundry portal to deploy models, explore traces, review evaluations, and build workflows visually. Expect to move between your IDE and the portal regularly.

Choose Your Scenario

All paths teach the same Foundry concepts — pick the one that resonates with you the most:

| Scenario | Description | Start Here | |----------|-------------|------------| | 🏭 Factory | Detect machine anomalies and diagnose faults at TireForge Industries | [Factory Lab](./factory/) | | 📋 Claims | Triage incoming claims and recommend actions at ClaimSight Insurance | [Claims Lab](./claims/) | | 📞 Call Center | Classify call intents and advise resolutions at NovaTel Communications | [Call Center Lab](./callcenter/) |

All scenarios follow the same 5-challenge structure:

| # | Challenge | Duration | What You'll Learn | |---|-----------|----------|-------------------| | 0 | Setup | 20 min | Provision Microsoft Foundry, deploy a model, verify auth | | 1 | Build Agents | 35 min | Create two agents with tools and system prompts | | 2 | Monitor | 20 min | Enable GenAI tracing with Application Insights | | 3 | Evaluate | 25 min | Run LLM-as-judge evaluations against test datasets | | 4 | Workflow | 20 min | Orchestrate agents in a multi-step pipeline |

Prerequisites

• Azure subscription with Contributor access
• Python 3.10+ installed locally (not needed for Codespaces)
• Azure CLI (az) installed and logged in
• ~20 minutes for infrastructure provisioning

Ready to Expand Your Knowledge?

We are on Tour!

Take your Frontier Week momentum even further with a high-energy, in-person experience. Spend a full day exploring advanced use cases, hands-on builds, and expert-led sessions designed to turn ideas into real business impact. Find the event nearest you on EMEA Agentic AI Hacks - Microsoft Pulse.

Go deeper with the docs

• What is Microsoft Foundry?
• Foundry Agent Service overview
• Trace your agents with Microsoft Foundry
• Evaluate agentic workflows
• azure-ai-projects SDK Reference

Keep learning on Microsoft Learn

• Develop an AI agent with Microsoft Foundry Agent Service — 55 min module
• Build agent-driven workflows using Microsoft Foundry — 1 hr module
• Analyze and debug your generative AI app with tracing — 1 hr module
• Evaluate generative AI performance in Microsoft Foundry portal — 38 min module
• Monitor your generative AI application — 1 hr module
• Develop generative AI apps in Azure — learning path
• Monitor AI workloads on Azure — learning path
• Operationalize AI responsibly with Azure AI Foundry — learning path