AI-3019 | Build AI Apps with Azure Database for PostgreSQL
 
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.
 
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.
 
Course Outline
Module 1: Get started with generative AI in Azure Database for PostgreSQL
This module explores how to effectively use Azure Database for PostgreSQL - Flexible Server and the Azure AI extension to develop powerful Generative AI applications.
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
Module 2: Enable semantic search in Azure Database for PostgreSQL
This module explores semantic search, embedding vectors, vector similarity, and using Azure Database for PostgreSQL - Flexible Server with PostgreSQL Vector and Azure AI extensions to generate, store, and query rows with semantic search.
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
Module 3: Summarize data with Azure AI Services and Azure database for PostgreSQL
This module will examine how Azure AI Services and the Azure AI extension for Azure Database for PostgreSQL - Flexible Server enable Generative AI summarization techniques for condensing complex content into concise summaries.
Introduction
Explain extractive summarization
Explore abstractive summarization
Exercise - Perform extractive and abstractive summarization
Knowledge check
Summary
Module 4: Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL
This module will explore how Azure AI Services and the Azure AI extension for Azure Database for PostgreSQL - Flexible Server enable sentiment analysis and opinion mining to extract valuable insights from textual data.
Introduction
Explore sentiment analysis
Describe opinion mining
Exercise-Analyze sentiment
Knowledge check
Summary
Module 5: Extract insights using Azure AI Language and Azure Database for PostgreSQL
This module covers Azure AI Language tools including key phrase extraction, entity recognition, personally identifiable information recognition and redaction, and using Azure Database for PostgreSQL - Flexible Server with Azure AI to access these services.
Introduction
Extract key phrases
Recognize entities
Recognize personally identifiable information (PII) entities
Exercise-Extract insights using the Azure AI Language service
Knowledge check
Summary
Module 6: Translate Text with Azure AI Translator and Azure Database for PostgreSQL
This module guides you through translating textual data in Azure Database for PostgreSQL - Flexible Server using the Azure AI Translator service. You'll load data into PostgreSQL and translate it into multiple languages.
Introduction
Explore the Azure AI Translator Service
Translate data in Azure Database for PostgreSQL
Exercise-Translate text
Knowledge check
Summary
Module 7: Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL
This module guides you through training and deploying an Azure Machine Learning model using automated machine learning. Then, you'll call the model directly from Azure Database for PostgreSQL - Flexible Server.
Introduction
Explore Azure Machine Learning
Invoke Azure Machine Learning models
Exercise-Perform inference using Azure Machine Learning
Knowledge check
Summary
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.