Build AI Apps with Azure Database for PostgreSQL

Build AI Apps with Azure Database for PostgreSQL

Build AI Apps with Azure Database for PostgreSQL: Develop Scalable AI Applications with PostgreSQL and Azure.

What does the Course Offer

6

8

8

12

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Objectives

Exercises

Training Hours

Exercises

Knowledge Checks

This course will guide you through integrating Generative AI and machine learning capabilities with Azure Database for PostgreSQL to build smarter, data-driven applications. You will learn how to enable features like semantic search, sentiment analysis, text summarization, and text translation using Azure AI services in PostgreSQL. The course also covers how to leverage Azure Machine Learning for inferencing and prediction tasks on PostgreSQL data.

By the end of the course, you will have the skills to enhance your PostgreSQL applications with advanced AI-powered insights and automation, driving smarter decision-making and improving user experiences.

Course Overview

This course provides a comprehensive guide to integrating Generative AI and machine learning features with Azure Database for PostgreSQL to create intelligent, scalable applications. You will learn how to enhance your PostgreSQL databases by enabling advanced AI functionalities such as semantic search, sentiment analysis, data summarization, and text translation using Azure AI services. Additionally, you'll gain practical experience in leveraging Azure Machine Learning for inferencing and predictive analytics on PostgreSQL data.

Throughout the course, you will explore how to use AI to extract meaningful insights from your data, automate tasks, and improve application performance. By the end of the course, you will be equipped with the skills to enhance your PostgreSQL-powered applications with AI-driven features, making them more intelligent, responsive, and capable of delivering better user experiences.

Learning Outcomes

BBy the end of this course, you will be able to:

1. Enable semantic search in PostgreSQL using AI.

2. Use Azure AI to summarize data stored in PostgreSQL.

3. Perform sentiment analysis and opinion mining on PostgreSQL data.

4. Extract insights from text with Azure AI Language.

5. Translate text using Azure AI Translator in PostgreSQL.

6. Integrate Azure Machine Learning for inferencing with PostgreSQL data.

7. These outcomes will help you enhance your PostgreSQL-based applications with advanced AI features on Azure.

Audience Profile

• AI Developers

• Solution Architects

• Machine Learning Engineers

• Business Analysts

• Cloud Engineers

• Students

Prerequisites

• Experience working with PostgreSQL databases and writing SQL queries

• General understanding of AI and ML concepts.

Course Objectives

• 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

• Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL

Format

Blended (Online Training + Discussions)

Streaming Platform

Microsoft Teams Online

Course Schedule

On Demand

Trainer

Kappagantula Srikanth

Duration

8 Hours

Course Fee

$800

Course Outline

Prerequisites (1 Hour)

• Install Visual Studio

• Install Azure PowerShell & CLI

• Create/Access Microsoft Learn Account

• Create/Access GitHub Account

• Create/Access Microsoft Azure Account

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

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

Summarize data with Azure AI Services and Azure database for PostgreSQL

• Introduction

• Explain extractive summarization

• Explore abstractive summarization

• Exercise - Perform extractive and abstractive summarization

Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL

• Introduction

• Explore sentiment analysis

• Describe opinion mining

• Exercise-Analyze sentiment

Extract insights using Azure AI Language and Azure Database for PostgreSQL

• Introduction

• Extract key phrases

• Recognize entities

• Recognize personally identifiable information (PII) entities

• Exercise-Extract insights using the Azure AI Language service

Translate Text with Azure AI Translator and Azure Database for PostgreSQL

• Introduction

• Explore the Azure AI Translator Service

• Translate data in Azure Database for PostgreSQL

• Exercise-Translate text

Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL

• Introduction

• Explore Azure Machine Learning

• Invoke Azure Machine Learning models

• Exercise-Perform inference using Azure Machine Learning

Enquire about the Course

You can also reach out to us through the following options

Phone

+65-91709407

Email

info@empowerone.cloud

WhatsApp Channel