Build AI-Powered Apps with Azure Database for PostgreSQL.

Learn how to create AI-driven applications using Azure Database for PostgreSQL in this comprehensive Microsoft Applied Skills course. Designed for developers and data professionals, this course teaches you how to leverage the capabilities of PostgreSQL and Azure AI tools to build intelligent and scalable applications.

Gain hands-on experience in data integration, AI model deployment, and performance optimization to deliver smarter solutions for real-world challenges.

Lead the Era of AI and Cloud with Microsoft Malaysia’s Learning Partner of the Year 2024 today. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.

Overview

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.

Discover opportunities in Malaysia’s growing digital economy. With billions of dollars invested by global tech giants like AWS, Microsoft, Google, and Oracle, Malaysia is rapidly emerging as a hub for digital innovation.​ The demand for certified Data and AI professionals has never been higher, making it the perfect time to elevate your career.

Explore the top Data and AI certifications for 2026. Be the professional businesses are searching for—get Data & AI certified today!

Skills Covered

  • 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

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

  • Developer

Course Curriculum

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.

Learning objectives

  • Examine the concepts of generative AI and large language models and explore how they can be used to build rich AI applications.
  • Evaluate the capabilities of azure_ai extension for PostgreSQL.
  • Install and explore the azure_ai extension in an Azure Database for PostgreSQL – Flexible Server database.

Prerequisites

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

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.

Learning objectives

  • Examine the concepts of semantic search & embedding vectors.
  • Understand the difference between lexical search & semantic search.
  • Evaluate the capabilities provided by the azure_ai extension for PostgreSQL.
  • Install and explore the vector and azure_ai extensions in an Azure Database for PostgreSQL – Flexible Server database.

Prerequisites

Before starting this module, you should have experience working with PostgreSQL databases, writing SQL queries, and standard lexical search.

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.

Learning objectives

  • Evaluate the summarization techniques available through Azure AI Services and the azure_ai extension.
  • Examine the differences between extractive, abstractive, and query-focused summarization.
  • Apply Generative AI summarization techniques to data in a PostgreSQL database to gain practical experience using Azure AI Services and the azure_ai extension for summarization.

Prerequisites

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

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.

Learning objectives

  • Explore the fundamentals of sentiment analysis and how it can be leveraged to gain insights into user sentiments and emotions.
  • Describe opinion mining techniques to identify sentiments related to specific attributes.
  • Apply sentiment analysis to user reviews in a PostgreSQL database using the azure_ai extension.

Prerequisites

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

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.

Learning objectives

  • Examine the concepts of key phrase extraction, entity recognition, and PII (personally identifiable information recognition) recognition.
  • Understand the capabilities provided by the azure_ai extension for PostgreSQL to access Azure AI Language.
  • Install the azure_ai extension in an Azure Database for PostgreSQL – Flexible Server database, and use it to extract key phrases, recognize entities in text, and redact PII.

Prerequisites

Before starting this module, you should have experience working with PostgreSQL databases and writing SQL queries.

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.

Learning objectives

  • Learn how to translate documents using the Azure AI Translator.
  • Learn how the Azure AI extension enables seamless interaction between Azure Database for PostgreSQL – Flexible Server and Azure AI Translator.
  • Understand one way to translate documents automatically as part of record insertion.

Prerequisites

  • Before starting this module, you should have experience working with the PL/pgSQL language.

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.

Learning objectives

  • Learn how to train and deploy an Azure Machine Learning model using automated machine learning.
  • Learn how to invoke deployed Azure Machine Learning models from Azure Database for PostgreSQL – Flexible Server.
  • Learn how to generate predictions for each row in an Azure Database for PostgreSQL – Flexible Server table.

Prerequisites

Before starting this module, you should have experience working with the PL/pgSQL language. Some knowledge of machine learning topics and Azure Machine Learning would be beneficial but not mandatory.

Dates & Locations

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Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

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August 3, 2026 - August 3, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

August 3, 2026 - August 3, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200

November 2, 2026 - November 2, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

November 2, 2026 - November 2, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200
Trainocate exam and cert

Exam & Certification

Note: There is no exam directly associated with this course. However, Microsoft offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving Microsoft certification is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our full range of Microsoft certifications and start building the skills that matter today.

Training & Certification Guide

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This blog examines the causes, impact, and initiatives underway to bridge this gap, ensuring Malaysia remains competitive in the digital age.

AI Mastery Program: Learn AI with Microsoft in 2025

Artificial Intelligence (AI) has been one of the hottest topics in the tech industry for the past decade. With its rapid advancements and potential to impact our daily lives, learning AI has become a highly sought-after skill.

We are thrilled to announce the launch of our Microsoft AI Mastery Program in 2024, made possible through our partnership with Microsoft, a renowned leader in AI technology. This program is tailored for individuals and tech professionals passionate about acquiring and mastering the fundamental and advanced principles of AI.

Top AI Skills Malaysia Needs Today: Advance Your IT Career in 2025

In the quest for AI-driven innovation, Malaysia seeks sharp minds with the right IT skills. Data science, machine learning—these are the tools in high demand. This article examines the AI skills Malaysia needs, the industries driving this change, and how to develop these skills to enhance your career trajectory.

In-demand Cloud Technology Skills – Insights from Malaysia’s Job Market

As Malaysia accelerates its digital transformation journey, cloud technology has emerged as a critical component of the nation’s economic growth. The adoption of cloud services is driving innovation across various sectors, from finance to manufacturing, and creating a robust demand for skilled cloud professionals.

This article dives into the most in-demand cloud technology skills in Malaysia, backed by market data and insights from industry reports, and highlights the key roles that are shaping the future of cloud technology.

Azure Certification Path 2025: Where to start with Azure Certifications

Targeting the most valuable Azure certifications for 2025? In the evolving landscape of cloud computing, Azure certifications stand out by offering professionals the leverage to thrive. This article presents a focused rundown of crucial Azure certifications, shining a light on their career-boosting effects and elucidating steps to get certified. No fluff – just actionable insights to empower your journey in the cloud.

The Future of Cloud Careers in Malaysia 2025

As Malaysia advances its digital economy, the demand for cloud professionals is growing rapidly. Cloud technology has become an essential part of the modern IT landscape, and businesses across various sectors are increasingly relying on cloud infrastructure to drive digital transformation.

This article explores the current state of cloud careers in Malaysia, key roles and career pathways, and emerging cloud trends that are shaping the future of cloud technology.

Frequently Asked Questions

AI-102T00: Develop AI solutions in Azure

This course is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services.

Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.

DP-100T01: Designing and implementing a data science solution on Azure

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.

This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

DP-700T00: Microsoft Fabric Data Engineer

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes.

 

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