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Virtual Instructor-Led Training 1 days

Prerequisites for AI-3019 Build AI Apps with Azure Database for PostgreSQL Course

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

AI-3019 Build AI Apps with Azure Database for PostgreSQL Course Outline


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FAQs on AI-3019 Build AI Apps with Azure Database for PostgreSQL

You will learn how to integrate generative AI capabilities into Azure Database for PostgreSQL, including using the Azure AI extension, enabling semantic search with vector embeddings, and leveraging Azure AI Services for tasks like summarization, sentiment analysis, insight extraction, and translation.

You should have experience working with PostgreSQL databases, be comfortable writing SQL queries, and have a general understanding of AI and machine learning concepts before starting this course.

This course is designed for database developers, data engineers, and AI practitioners who want to build intelligent applications using Azure Database for PostgreSQL and integrate AI/ML capabilities directly into their database workflows.

The course covers three main areas: getting started with generative AI features like the Azure OpenAI, Cognitive, and Machine Learning schemas; enabling semantic search using vector storage and embeddings; and integrating Azure AI Services for summarization, sentiment analysis, insight extraction, and translation.

The Azure AI extension is a PostgreSQL extension that enables direct integration with Azure AI services, allowing you to generate embeddings, perform semantic operations, and access generative AI models directly from your database, which is central to the AI capabilities taught throughout this course.