Secure Development of GenAI Applications Training

Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.

• The training "Safe Creation of GenAI Applications" focuses on solving practical tasks and teamwork, allowing participants to quickly transition from theory to practice in creating GenAI applications. The workshops are based on best practices in utilizing Azure OpenAI, ensuring that the skills acquired are fully applicable in production applications. Concepts are demonstrated on Azure services (including Azure OpenAI) and using Python and the LangChain library. The training format is also significant – OpenHack, where participants collaboratively solve practical tasks in small groups (4 people). The training aims to showcase a real scenario of application development and the associated challenges. Additional information:
• Tasks are to be solved in Python. If participants are not familiar with this language, we encourage them to review basic tutorials that we will send before the workshop. Participants do not need to code fluently, but knowledge of syntax and basic coding principles will be useful.
• To participate in the workshop, only a web browser is required.
• Tasks will be solved in groups, which we recommend. They cover a wide range of competencies: from Python, through applications, to DevOps. Nothing too difficult, but it's a good opportunity to create interdisciplinary teams.
• Environment in Github Codespaces, but it can also be run locally in VS Code with Docker. A Microsoft Azure subscription for the duration of the workshop.

• Programmers and software engineers responsible for creating AI applications and integrating various cloud services.
• Security specialists dealing with securing applications and data in the cloud, ensuring compliance with best security practices.
• System architects involved in designing and implementing complex AI systems in a cloud environment.
• Data analysts who want to leverage GenAI capabilities to analyze large datasets and extract valuable insights.

• Creating and managing GenAI solutions in Azure: From basic concepts to advanced applications
• Building chatbots and data classification systems: Practical skills in designing, implementing, and deploying AI solutions in real scenarios.
• Safe use of Azure services: Protecting data and applications in the cloud

• DAY 1
   • Components for building GenAI solutions – presentation
   • Introduction to GenAI
   • Azure OpenAI
   • Azure AI Search
   • Azure Functions
   • Permissions in Azure
   • Security of services
   • LangChain
   • Building a solution for loading and classifying data for use in GenAI – group exercises

• DAY 2
   • From local script to chatbot in Azure – presentation
   • Identity in Azure
   • Azure App Service
   • LangChain – building a chatbot and RAG
   • Building chatbots connected to data – group exercises

16 h/2 days