Build AI Apps with Azure Database for PostgreSQL (AI-3019)

 

Course Overview

Build AI Apps with Azure Database for PostgreSQL

Prerequisites

Before starting this module, you should have experience working with PostgreSQL databases, writing SQL queries, and a general understanding of AI and ML concepts.

Course Content

Get started with generative AI in Azure Database for PostgreSQL

  • Introduction
  • Understand generative AI language models
  • Describe the Azure AI extension
  • Explore the Azure OpenAI schema
  • Review the Azure Cognitive schema
  • Explore semantic operators
  • Examine the Azure Machine Learning schema
  • Exercise-Explore the Azure AI extension
  • Module assessment
  • Summary

Enable semantic search in Azure Database for PostgreSQL

  • Introduction
  • Understand semantic search
  • Store vectors in Azure Database for PostgreSQL
  • Create embeddings with the Azure AI extension
  • Exercise - Generate vector embeddings with Azure OpenAI
  • Explore semantic search use cases
  • Exercise - Create a search function for a recommendation system
  • Module assessment
  • Summary

Integrate AI Services to enrich your applications with intelligent features in Azure Database for PostgreSQL

  • Introduction
  • Summarize data with Azure AI Services and Azure Database for PostgreSQL
  • Perform sentiment analysis and opinion mining in Azure Database for PostgreSQL
  • Extract insights using Azure Language and Azure Database for PostgreSQL
  • Translate text with Azure Translator and Azure Database for PostgreSQL
  • Exercise - Use Azure AI services with Azure Database for PostgreSQL
  • Use Azure Machine Learning for inference from Azure Database for PostgreSQL
  • Exercise - Perform inference with Azure Machine Learning and Azure Database for PostgreSQL
  • Module assessment
  • Summary

Build RAG applications with Azure Database for PostgreSQL

  • Introduction
  • Understand RAG pattern with Azure Database for PostgreSQL
  • Explore information retrieval challenges - scale and accuracy
  • Enhance scale with vector indexes
  • Build RAG Applications with Azure Database for PostgreSQL and Python
  • Exercise: Build RAG applications with Azure Database for PostgreSQL and Python
  • Improve accuracy with advanced RAG architectures
  • Explore GraphRAG with Azure Database for PostgreSQL
  • Exercise: Implement GraphRAG with Azure Database for PostgreSQL
  • Module assessment
  • Summary

Implement generative AI agents with Azure Database for PostgreSQL

  • Introduction
  • Understand AI agents with Azure Database for PostgreSQL
  • Apply information retrieval for agents
  • Evaluate agentic frameworks for integration with PostgreSQL
  • Implement AI agents with Foundry Agent Service
  • Exercise - Build an AI agent with Foundry Agent Service and Azure Database for PostgreSQL
  • Integrate AI agents with MCP and PostgreSQL
  • Module assessment
  • Summary

Develop PostgreSQL solutions in Visual Studio Code with the PostgreSQL extension and GitHub Copilot

  • Introduction
  • Understand how the PostgreSQL extension supports SQL development
  • Understand how GitHub Copilot integrates with the PostgreSQL extension
  • Use GitHub Copilot to generate, refine, and troubleshoot SQL queries
  • Exercise - Enhance PostgreSQL development with GitHub Copilot
  • Knowledge check
  • Summary

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Classroom Training

Duration
1 day

Price
  • on request

Click on town name or "Online Training" to book Schedule

Europe

Germany

Hamburg

Poland

Warsaw
Warsaw

Switzerland

Online Training Time zone: Central European Summer Time (CEST) Course language: German
Online Training Time zone: Central European Time (CET) Course language: German

Ukraine

Kiev
Kiev
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
This is a FLEX course, which is delivered both virtually and in the classroom.