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

Last Updated: 29-06-2026

The AI-3019: Build AI Apps with Azure Database for PostgreSQL course is designed for developers and data professionals who want to learn how to integrate AI capabilities with Azure Database for PostgreSQL to build intelligent applications. In this course, you will explore the powerful combination of AI technologies and PostgreSQL databases, gaining hands-on experience in creating AI-driven applications that leverage the scalability, security, and flexibility of Azure PostgreSQL.

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August 23rd
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Course Prerequisites

  • Familiarity with Azure cloud services and PostgreSQL databases.
  • Basic understanding of AI concepts and machine learning principles.
  • Experience with programming languages such as Python, JavaScript, or C#.
  • Prior knowledge of SQL and database management will be beneficial but is not required.
  • Familiarity with cloud computing and data engineering concepts will enhance the learning experience.

Learning Objectives

By the end of the AI-3019: Build AI Apps with Azure Database for PostgreSQL course, you will be able to:

  1. Understand how Azure Database for PostgreSQL integrates with AI technologies to build intelligent applications.
  2. Learn how to leverage PostgreSQL’s capabilities for storing and managing large volumes of structured and unstructured data for AI solutions.
  3. Use AI models and machine learning algorithms with PostgreSQL data to create features like recommendation engines, predictive analytics, and personalized content.
  4. Develop AI-driven applications that use Azure PostgreSQL for data storage, while utilizing Azure AI services such as Cognitive Services and Machine Learning.
  5. Build data pipelines that integrate AI models and real-time analytics into PostgreSQL-based applications.
  6. Optimize PostgreSQL performance for AI workloads and large-scale data processing to ensure high availability and low-latency responses in AI applications.
  7. Implement security and compliance measures to protect sensitive data used in AI applications built on Azure PostgreSQL.
  8. Use AI-powered data analysis tools to generate actionable insights from the PostgreSQL database.
  9. Deploy and manage AI-powered PostgreSQL apps on Azure, ensuring scalability, performance, and reliability in cloud environments.
  10. Prepare for a professional role as an AI developer or cloud engineer by acquiring advanced skills in AI app development and PostgreSQL integration.

Target Audience

This course is ideal for:

  • Developers and software engineers looking to integrate AI into applications using Azure Database for PostgreSQL.
  • Data engineers and AI engineers who want to enhance their understanding of building AI-powered apps on PostgreSQL and Azure.
  • Cloud architects and technical consultants interested in learning how to design and implement AI-based database solutions.
  • Database administrators and PostgreSQL professionals seeking to learn how to integrate AI with PostgreSQL databases on Azure.
  • Machine learning engineers who want to leverage Azure PostgreSQL for storing and processing data for AI models.
  • Business analysts and decision-makers seeking insights on how to use AI and PostgreSQL to improve application performance and drive data-driven decisions.

Course Modules

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