Build NI Apps with Azure Database for PostgreSQL (AI-3019)

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.

Course Information

Price: $675.00
Duration: 1 day
Certification: 
Exam: 
Learning Credits:
Continuing Education Credits:
Course Delivery Options

Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.

Train face-to-face with the live instructor.

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Attend the live class from the comfort of your home or office.

Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.

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Prerequisites:

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


 

Target Audience:

 

Course Objectives:

Students will learn:

  • Get Started with Generative AI in Azure Database for PostgreSQL
  • Enable Semantic Search in Azure Database for PostgreSQL
  • Summarize Data with Azure AI Services and Azure Database for PostgreSQL
  • Perform Sentiment Analysis and Opinion Mining with Azure Database for PostgreSQL
  • Extract Insights Using Azure AI Language and Azure Database for PostgreSQL
  • Translate Text with Azure AI Translator and Azure Database for PostgreSQL
  • Using Azure Machine Learning for Inferencing from Azure Database for PostgreSQL


 

Course Outline:

Get started with generative AI in Azure Database for PostgreSQL

  • Introduction
  • 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
  • Exercise-Explore the Azure AI Extension
  • Knowledge Check
  • Summary

Enable semantic search in Azure Database for PostgreSQL

  • Introduction
  • Understand Semantic Search
  • Store Vectors in Azure Database for PostgreSQL
  • Create Embeddings with the Azure AI Extension
  • Exercise – Generate Vector Embeddings with Azure OpenAI
  • Explore Semantic Search use Cases
  • Exercise – Create a Search Function for a Recommendation System
  • Knowledge Check
  • Summary

Summarize data with Azure AI Services and Azure database for PostgreSQL

  • Introduction
  • Explain Extractive Summarization
  • Exercise – Perform Extractive and Abstractive Summarization
  • Knowledge Check
  • Summary

Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL

  • Introduction
  • Explore Sentiment Analysis
  • Describe Opinion Mining
  • Exervise – Analyze Sentiment
  • Knowledge Check
  • Summary

Extract insights using Azure AI Language and Azure Database for PostgreSQL

  • Introduction
  • Extract Key Phases
  • Recognize Entities
  • Recognize Personally Identifiable Information (PII) Entities
  • Exercise – Extract Insights Using the Azure AI Language Service
  • Knowledge Check
  • Summary

Translate Text with Azure AI Translator and Azure Database for PostgreSQL

  • Introduction
  • Explore the Azure AI Translator Service
  • Translate Date in Azure Database for PostgreSQL
  • Exercise – Translate Text
  • Knowledge Check
  • Summary

Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL

  • Introduction
  • Explore Azure Machine Learning
  • Invoke Azure Machine Learning Models
  • Exercise – Perform Inferenace Using Azure Machine Learning
  • Knowledge Check
  • Summary


 

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