AI-3019: Build AI Apps with Azure Database for PostgreSQL

Bring AI directly into your database. This practical, self-paced course shows developers and data professionals how to build intelligent apps with Azure Database for PostgreSQL, covering semantic search with vectors, AI-powered text analysis and translation, RAG applications and AI agents. It’s ideal if you’re comfortable with PostgreSQL and SQL.

For more information, see below
Duration
8 Hours (1 Day)
Modules
1 Modules
Course type
Microsoft

Course Overview

This intermediate-level learning path teaches developers how to build AI-powered applications by integrating Azure AI services with Azure Database for PostgreSQL - Flexible Server. You’ll learn to use the Azure AI extension to enable generative AI, semantic search, sentiment analysis, translation, and machine learning inferencing directly from your PostgreSQL database.

Before You Begin

  • Experience working with PostgreSQL databases
  • Ability to write SQL queries
  • General understanding of AI and ML concepts
  • Familiarity with Azure services is helpful

Key outcomes

  • Use AI with PostgreSQL Analyze text and data using Azure AI extension.
  • Enable Semantic Search Apply vector embeddings for intelligent data retrieval.
  • Summarize and Translate Text Process stored text for meaning and language conversion.
  • Run ML from PostgreSQL Perform sentiment and entity analysis via Azure ML.

Tools you’ll use

Azure Portal
Azure Portal
Azure Machine Learning
Azure Machine Learning
Azure AI Translator
Azure AI Translator
Azure Services
Azure AI Services

Skills you’ll gain

  • AI-PostgreSQL Integration
  • Semantic Search Enablement
  • Vector Query Execution
  • Sentiment Analysis Tools
  • Opinion Mining Capabilities
  • Text Translation Automation
  • AI-Powered Summarization
  • In-Database ML Execution

What You’ll Learn

1 module
1Lesson 1: Build AI Apps with Azure Database for PostgreSQL
Module 1: Get started with generative AI in Azure Database for PostgreSQL Module 2: Enable semantic search in Azure Database for PostgreSQL Module 3: Summarize data with Azure AI Services and Azure Database for PostgreSQL Module 4: Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL Module 5: Extract insights using Azure AI Language and Azure Database for PostgreSQL Module 6: Translate text with Azure AI Translator and Azure Database for PostgreSQL Module 7: Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL

Certification & Credentials

AI-3019
Certificate track
8 Hours (1 Day)

Frequently asked questions

What is the Azure AI extension for PostgreSQL?
It allows integration of Azure AI services directly into PostgreSQL queries for enhanced data intelligence.
Do I need machine learning experience?
Basic understanding is helpful, but the course guides you through practical implementations.
Can I run ML models from the database?
Yes, using Azure Machine Learning integration, you can call models directly from PostgreSQL.
Is this course hands-on?
Yes, it includes exercises and labs for real-world AI applications.
Who should take this course?
Developers and data engineers building intelligent apps with PostgreSQL and Azure AI.
Duration

8 Hours (1 Day)

Modules

1 Modules

Course type

Microsoft

Category

Microsoft

Prerequisites

Experience working with PostgreSQL databases, Ability to write SQL queries, General understanding of AI and ML concepts, Familiarity with Azure services is helpful

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