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

Course Description

Learn to build scalable, intelligent applications by integrating AI with Azure Database for PostgreSQL. This instructor-led, intermediate-level course guides developers and AI engineers through designing, developing, and deploying AI-powered applications that leverage the flexibility and power of Azure Database for PostgreSQL alongside Azure AI services. Explore techniques for managing AI data workflows, implementing advanced analytics, and optimizing performance in PostgreSQL-backed AI apps. The course emphasizes applied skills, with 40–50% hands-on exercises.

Target Audience

Ideal for:

• AI Developers, Software Engineers, and Cloud Architects building AI applications using Azure Database for PostgreSQL

• Professionals proficient in SQL, Python, or C#, and familiar with Azure cloud services

Prerequisites:

• Working knowledge of relational databases and SQL

• Basic familiarity with Azure services and programming experience in Python, C#, or similar

Course Outline

Module 1: Introduction to Azure Database for PostgreSQL in AI Applications

• Understand the benefits of Azure Database for PostgreSQL for AI workloads

• Explore deployment options: single server, flexible server, and hyperscale (Citus)

Module 2: Designing AI Data Workflows with PostgreSQL

• Model data structures optimized for AI app performance

• Implement efficient data ingestion, storage, and retrieval strategies in PostgreSQL

• Use JSON and JSONB data types to handle unstructured AI data

Module 3: Integrating Azure AI Services with PostgreSQL

• Connect Azure AI Language, Vision, and Cognitive Services to PostgreSQL data pipelines

• Build workflows that combine AI insights with relational data stored in PostgreSQL

Module 4: Implementing Advanced Analytics and Machine Learning

• Use PostgreSQL extensions and integration with Azure ML for in-database analytics

• Deploy AI models and scoring directly within PostgreSQL environments

Module 5: Optimizing Performance and Security for AI Apps

• Tune PostgreSQL for high throughput and low latency in AI scenarios

• Apply security best practices, including encryption, role-based access, and network security

Module 6: Deploying and Scaling AI Applications with Azure Database for PostgreSQL

• Plan for scalability using hyperscale and flexible server architectures

• Monitor and maintain AI applications for reliability and cost efficiency

Hands-On Experience

The course dedicates 40–50% of the time to hands-on coding, practical demos, and real-world exercises focused on building, deploying, and optimizing AI applications using Azure Database for PostgreSQL.

Skills You’ll Gain

By the end of AI-3019, you will be able to:

• Design and implement data workflows for AI apps with Azure Database for PostgreSQL

• Integrate Azure AI services with PostgreSQL to build intelligent solutions

• Apply advanced analytics and machine learning within PostgreSQL

• Optimize database performance and secure AI applications

• Scale and deploy AI solutions efficiently on Azure