AI-3019 Build AI Apps with Azure Database for PostgreSQL

Introduction:

This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL – Flexible Server can enable you to build AI-powered apps.

Objectives:

Course Outline:

1 – Get started with generative AI in Azure Database for PostgreSQL

  • Understand generative AI language models
  • Describe the Azure AI extension
  • Explore the Azure OpenAI schema
  • Review the Azure Cognitive schema
  • Examine the Azure Machine Learning schema

2 – Enable semantic search in Azure Database for PostgreSQL

  • Understand semantic search
  • Store vectors in Azure Database for PostgreSQL
  • Create embeddings with the Azure AI extension
  • Explore semantic search use cases

3 – Summarize data with Azure AI Services and Azure database for PostgreSQL

  • Explain extractive summarization
  • Explore abstractive summarization

4 – Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL

  • Explore sentiment analysis
  • Describe opinion mining

5 – Extract insights using Azure AI Language and Azure Database for PostgreSQL

  • Extract key phrases
  • Recognize entities
  • Recognize personally identifiable information (PII) entities

6 – Translate Text with Azure AI Translator and Azure Database for PostgreSQL

  • Explore the Azure AI Translator Service
  • Translate data in Azure Database for PostgreSQL

7 – Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL

  • Explore Azure Machine Learning
  • Invoke Azure Machine Learning models

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