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

Ref. AI-3019
Duration:
1
 day
Exam:
Optional
Level:
Intermediate

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

Discover how to harness the power of artificial intelligence with our specialized training on Azure AI and Azure Machine Learning Services. This course will guide you through integrating Azure AI with Azure Database for PostgreSQL – Flexible Server, enabling you to create intelligent and innovative applications. Through detailed modules and practical exercises, you will acquire the skills necessary to master generative AI, semantic search, sentiment analysis, and much more.

By taking the course “Creating AI Applications with Azure Database for PostgreSQL (AI-3019)” you will learn to use the Azure AI extension to transform data into actionable insights. From opinion mining to text translation, each section is designed to provide you with in-depth knowledge and practical skills. Whether you are a beginner or an experienced professional, this training will help you become an expert in the field of artificial intelligence and machine learning on Azure.

Participant profiles

  • Developer
  • Azure Database for PostgreSQL
  • Azure AI Services

Objectives

  • Understanding Generative AI Language Models
  • Enabling Semantic Search in Azure Database for PostgreSQL
  • Summarizing Data with Azure AI Services
  • Performing Sentiment Analysis and Opinion Mining
  • Extracting Insights Using Azure AI Language
  • Using Azure Machine Learning for Inferences

Prerequisites

  • Having experience with PostgreSQL databases
  • Having experience in writing SQL queries
  • A good general understanding of AI and ML concepts

Course content

Module 1: Getting Started with Generative AI in Azure Database for PostgreSQL

  • Introduction
  • Understanding Generative AI Language Models
  • Describing the Azure AI Extension
  • Exploring the Azure OpenAI Schema
  • Reviewing the Azure Cognitive Schema
  • Examining the Azure Machine Learning Schema
  • Exercise: Exploring the Azure AI Extension

Module 2: Enabling Semantic Search in Azure Database for PostgreSQL

  • Introduction
  • Understanding Semantic Search
  • Storing Vectors in Azure Database for PostgreSQL
  • Creating Embeddings with the Azure AI Extension
  • Exercise: Generating Vector Embeddings with Azure OpenAI
  • Exploring Use Cases for Semantic Search
  • Exercise: Creating a Search Function for a Recommendation System

Module 3: Summarizing Data with Azure AI Services and Azure Database for PostgreSQL

  • Introduction
  • Explaining Extractive Summarization
  • Exploring Abstractive Summarization
  • Exercise: Performing Extractive and Abstractive Summarization

Module 4: Performing Sentiment Analysis and Opinion Mining with Azure Database for PostgreSQL

  • Introduction
  • Exploring Sentiment Analysis
  • Describing Opinion Mining
  • Exercise: Sentiment Analysis

Module 5: Extracting Insights using Azure AI Language and Azure Database for PostgreSQL

  • Introduction
  • Extracting Key Phrases
  • Recognizing Entities
  • Recognizing Entities with Personally Identifiable Information
  • Exercise: Extracting Insights using Azure AI Language Service

Module 6: Translating Text with Azure AI Translator and Azure Database for PostgreSQL

  • Introduction
  • Exploring the Azure AI Translator Service
  • Translating Data in Azure DB for PostgreSQL
  • Exercise: Translating Text

Module 7: Using Azure Machine Learning to Infer from Azure Database for PostgreSQL

  • Introduction
  • Exploring Azure Machine Learning
  • Calling Azure Machine Learning Models
  • Exercise: Inferring with Azure Machine Learning

Documentation

  • Digital course material included

Complementary courses

Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.

Additional information

Creating AI Applications with Azure Database for PostgreSQL

An innovative training on creating AI applications with Azure Database for PostgreSQL. Whether you are an experienced developer or a beginner, this training is designed to provide you with an in-depth understanding of artificial intelligence technologies and their integration with PostgreSQL.

Mastering the Basics of Generative AI

In this first part, we focus on the fundamentals of generative AI. You will discover how Azure AI and Azure OpenAI can transform your data into actionable insights. By learning to use language models, you will be able to create applications that understand and generate natural language.

Optimizing Semantic Search

Semantic search revolutionizes the way we interact with databases. You will learn to store vectors in Azure Database for PostgreSQL and create embeddings with the Azure AI extension. These skills are essential for developing intelligent search engines and recommendation systems.

Data Summarization: Extractive and Abstractive

Analyzing large amounts of data can be overwhelming. With Azure AI Services, you can summarize this data in both extractive and abstractive ways, enabling quick and informed decision-making. You will learn to apply these techniques to extract key information from your textual data.

Opinion Mining and Sentiment Analysis

Understanding user opinions and sentiments is crucial for improving the customer experience. We will show you how to leverage Azure Database for PostgreSQL to perform sentiment analysis and opinion mining, providing valuable insights from your users’ feedback.

Insight Extraction with Azure AI Language

Extracting insights from textual data is a valuable skill. Using Azure AI Language, you will be able to identify key phrases and recognize important entities, including those containing personal information. This allows you to turn raw data into actionable insights.

Multilingual Content Translation

Globalization requires multilingual solutions. Azure AI Translator allows you to translate texts efficiently and accurately. You will learn to integrate these services to make your data accessible to an international audience.

Advanced Inferences with Azure Machine Learning

Inference with Azure Machine Learning opens up endless possibilities for your applications. You will discover how to use machine learning models to predict trends and perform complex analyses, directly integrated with your Azure Database for PostgreSQL.

How to Use PostgreSQL in Azure?
To use PostgreSQL in Azure, start by setting up an instance of Azure Database for PostgreSQL via the Azure portal. Then, use the integrated AI tools to analyze and process your data. This process allows you to benefit from PostgreSQL’s performance while leveraging the advanced capabilities of Azure AI and Azure Machine Learning.

This training will enable you to create powerful AI applications with Azure Database for PostgreSQL. By mastering these tools, you will be able to transform your data into strategic assets, ready to meet current and future market needs. Take advantage of this opportunity to enhance your skills and innovate in your field.

Prix de l'inscription
CHF 850.-
Inclus dans ce cours
  • Training provided by a certified trainer
  • 180 days of access to Official Microsoft Labs
  • Official documentation in digital format
  • Official Microsoft achievement badge
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