🚀 Microsoft Azure Hackathon | AI | Data | Security | Fabric | OpenAI
Welcome to the AI-Powered Fraud & Insights Hackathon! This event is designed to empower participants to tackle fraud detection, financial insights, and automation using Azure AI, Microsoft Fabric, and advanced security solutions.
This repository serves as a comprehensive blueprint for organizing a high-impact AI hackathon—whether you're an Azure expert, Data Professional, or a C-Level Decision Maker.
Each section of the Hackathon contains a Challenge or a Solution document to complete it. Instructors are welcome to arrange the event as they prefer.
Example:
| 📅 Day | 🔹 Activity | 🏁 Type |
|---|---|---|
| Day 1 | Ingesting Data into Microsoft Fabric | Challenge |
| Day 1 | Extracting Key Data from Documents (Document Intelligence) | Walkthrough |
| Day 1 | Data Analytics in Microsoft Fabric (Power BI Dashboards) | Walkthrough |
| Day 2 | Deploying an Insights Chatbot (Azure OpenAI) | Walkthrough |
| Day 2 | Chatbot Optimization Challenge | Challenge |
| Day 2 | Fraud Detection with Azure AI Foundry | Walkthrough |
| Day 2 | Fraud Detection Model Optimization Challenge | Challenge |
| Day 2 | Security & Compliance (Defender for Cloud) | Challenge |
| Day 2 | Final Presentations & Collaboration | Collaboration |
📌 Mode: Virtual or In-person
📌 Duration: 2 Days
📌 Target Audience: AI Developers, Data Engineers, Cloud Architects, Security Professionals, C-Level Decision Makers.
- Deploy & Configure Microsoft Fabric for real-time data ingestion.
- Use AI Models (OpenAI, Azure AI Services) for fraud detection.
- Automate Data Processing with Azure Data Factory & Logic Apps.
- Build Chatbots & AI Agents for financial insights & anomaly detection.
- Govern Azure Operations with Azure Defender for Cloud.
- Visualize Insights using Power BI in Microsoft Fabric.
This repository is designed to serve as a blueprint for running an Engaging Hackathon focused on fraud detection, data insights, and cloud security.
💡 Whether you’re an Azure Expert or Microsoft Partner, you can use this structure to run your own event!
- Clone this repo and modify it to fit your event theme or run it as is.
- Use the provided exercises & challenges as a structured learning path.
- Customize the AI models, datasets, or reports to match your event's objectives.
- Encourage participants to explore Azure AI, Microsoft Fabric, and OpenAI in a real-world use case.
📌 Need Help? Open an issue or contribute improvements to this repo! 🚀
Goal: Set up Microsoft Fabric, create a OneLake Lakehouse, and upload transaction data.
- Create Fabric Capacity in Azure
- Assign Fabric Capacity to Microsoft Fabric
- Upload Financial PDFs to OneLake
Goal: Automate document processing using Azure AI Services.
- Create Azure Document Intelligence
- Extract Text & Data from Financial Documents
- Store Processed Data in OneLake
Goal: Build AI-driven fraud detection models.
- Process data with Azure Machine Learning
- Train models for fraud detection
- Visualize fraud patterns in Power BI
Goal: Implement a chatbot with AI search and data-driven responses.
- Deploy a chatbot with OpenAI & Fabric Data
- Enable multi-agent collaboration
- Test the chatbot with real financial questions
Goal: Secure cloud environments with Azure Defender for Cloud.
- Configure security policies in Azure
- Implement monitoring & anomaly detection
- Fork this repo to your GitHub account.
- Complete the prerequisites guide.
- Follow the challenges step by step to build your AI fraud detection solution.
- Join our community and share your progress! 🚀
This project is licensed under the MIT License for code and CC BY 4.0 for documentation.
Feel free to clone, modify, and share this repository for your own Hackathons! 💡
- Want to add new challenges, improve documentation, or suggest enhancements? Pull requests are welcome! 🤝
🚀 Let’s build AI-powered fraud detection solutions together! 🎯