Workshops

Get ready to roll up your sleeves, learn, and participate in an interactive team environment.

Start your laptops .... Get Set .... Go!

Limited seats. Secure your spot today!
Reserve your spot when you buy your ticket. If you have already bought a ticket, you can update your booking and add the workshop reservation to it.


Workshop 1: Azure Database for PostgreSQL workshop
Time: 10:30am - 12:30pm
Title: Build Agentic AI with Semantic Kernel and Graph RAG on PostgreSQL
Abstract

In this hands-on lab, you will build an agent-driven Retrieval-Augmented Generation (RAG) application using a U.S. Case Law dataset. You will work with Azure Database for PostgreSQL, Visual Studio Code, and the Semantic Kernel Agent Framework to explore AI-powered text and vector search. The lab also introduces GraphRAG with Apache AGE, enabling enriched querying across structured and graph-based data. By the end, you'll gain practical skills in semantic search, vector indexing, and intelligent data retrieval.

Topics Covered

Setup your Azure PostgreSQL Database
Launch PSQL Command Line Shell in VS Code
Using AI-driven features in Postgres
Using Semantic Vector Search and DiskANN Index
Perform a Semantic Search Query
Semantic Agent Configuration and Plugin Assembly


Workshop 2: Azure Cosmos DB workshop
Time: 1:30pm - 3:30pm
Title: Building a Full-Stack FastAPI App with Open Source DocumentDB via Docker
Abstract

This hands-on lab guides you through the process of building a modern, full-stack web application using FastAPI for the backend and open source DocumentDB as the database, all orchestrated with Docker containers. Attendees will learn how to rapidly prototype and deploy scalable Python APIs, leverage containerization for consistent development and testing, and integrate with DocumentDB for flexible, cloud-ready data storage.

Topics covered

Setting up a FastAPI backend and connecting it to DocumentDB using Docker Compose.
Best practices for local development, testing, and CI/CD integration with Docker.
How open source DocumentDB enables rapid iteration and seamless migration to cloud environments.
Real-world patterns for building, running, and debugging full-stack apps in isolated, reproducible environments.

By the end of the lab, you’ll have a working application, a deeper understanding of containerized development workflows, and practical experience with the latest open source tools for Python and NoSQL development.


Workshop Sponsor: Microsoft Azure Databases

Azure enriches the database platforms that Python developers rely on to build intelligent apps and agents with less friction. Our fully-managed database services come backed with industry-leading security, compliance and reliability and are equipped with advanced features to support modern workloads. Azure Cosmos DB is a serverless and scalable, low-latency NoSQL database with built-in vector and hybrid search, perfect for powering AI, RAG pipelines, and multi-agent systems. Azure Database for PostgreSQL combines the power of open-source Postgres with enterprise-ready scale and security, is infused with genAI capabilities and natively supports vector data and advanced RAG techniques. And with DocumentDB—our new open-source, MongoDB-compatible engine—you get flexibility and choice backed by the Linux Foundation. All three services integrate seamlessly with Python SDKs and tools, so you can build apps, APIs, and AI workloads faster, without worrying about infrastructure.


All participants must register individually.
Attendees must adhere to the Microsoft Code of Conduct. https://aka.ms/EventsCodeOfConduct

Secure your spot today!
Reserve your spot when you buy your ticket. If you have already bought a ticket, you can update your booking and add the workshop reservation to it.