[OpenHack] Secure GenAI Application Development

The “Secure Development of GenAI Applications” training focuses on solving practical tasks and teamwork, which allows participants to quickly move from theory to practice in the development of GenAI applications. The workshop is based on best practices in the use of Azure OpenAI, which ensures that the skills learned are fully usable in production applications.

Key Issues:

• Azure Computing Infrastructure: Learning to manage computing infrastructure, including virtual machines, containers, and App Service services.
• Data Storage in the Cloud: Understand various data storage services, including Azure Blob Storage, File Storage, Queue Storage, and Table Storage.
• Security in Azure: Learn best practices for securing infrastructure, applications, and data in Azure.
• Automation in Azure: Leverage tools such as Azure Resource Manager, Terraform, and Bicep to automate infrastructure management.
• Cost Control in the Cloud: Understand the optimization of costs associated with cloud infrastructure, including service cost management and expense monitoring.
• Log Collection and Monitoring: Learn how to use tools like Azure Monitor, Log Analytics, and Application Insights to collect logs and monitor the platform.

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Day 1:

• “Understanding AI: How AI Systems Work”: presentation;
  • Azure AI Search
  • Azure OpenAI
  • Fonksiyonên Azure
  • Permissions in Azure
  • Security of services
  • Long Chain
• Building a solution for loading data and classifying them for use in GenAI: group exercises;

Day 2:

• From on-premises script to chatbot in Azure: presentation;
  • Identity in Azure
  • Azure App Services
  • Langchain: Building a chatbot and RaGa
• Building chatbots connected to data: exercises in groups;

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