Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.

Targeted validation for real-world scenarios with Microsoft Applied Skills. Skill up for in-demand technical scenarios to demonstrate proficiency in specific, scenario-based skill sets so you can make a bigger impact on every project, at your organization, and in your career.

  • Focus your efforts on a skill set that is specific to a critical business problem or challenge that organizations are facing.
  • Earn your credential by passing an online, on-demand assessment that requires you to complete a series of tasks in an interactive lab experience.
  • Elevate your profile when you share your Microsoft-verified credentials and skills across your professional network, leaving no doubt about your value and expertise.

Accelerate AI transformation with Microsoft AI Skills for Everyone. Get Azure AI trained and certified with Microsoft Malaysia’s Learning Partner of the Year 2024 today.

Overview

Develop natural language processing solutions with Azure AI Services

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:

This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.

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Skills Covered

  • Deploy a language resource, and use prebuilt models
  • Create a custom text classification solution
  • Create a custom named entity recognition (NER) solution

Prerequisites

Before starting this learning path, you should already have:

Target Audience

  • AI Engineer
  • Developer
  • Solution Architect

Course Curriculum

Module 1: Analyze text with Azure AI Language

The Azure AI Language service enables you to create intelligent apps and services that extract semantic information from text.

Learning objectives

In this module, you’ll learn how to use the Azure AI Language service to:

  • Detect language from text
  • Analyze text sentiment
  • Extract key phrases, entities, and linked entities

Prerequisites

Before starting this module, you’ll need

  • Familiarity with Microsoft Azure and the Azure portal.
  • Experience programming with C# or Python.

Module 2: Create question answering solutions with Azure AI Language

The question answering capability of the Azure AI Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.

Learning objectives

After completing this module, you will be able to:

  • Understand question answering and how it compares to language understanding.
  • Create, test, publish, and consume a knowledge base.
  • Implement multi-turn conversation and active learning.
  • Create a question answering bot to interact with using natural language.

Prerequisites

Before starting this module, you should already have:

Module 3: Build a conversational language understanding model

The Azure AI Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.

Learning objectives

After completing this module, you’ll be able to:

  • Provision Azure resources for Azure AI Language resource
  • Define intents, utterances, and entities
  • Use patterns to differentiate similar utterances
  • Use pre-built entity components
  • Train, test, publish, and review an Azure AI Language model

Prerequisites

Before starting this module, you should already have:

Module 4: Create a custom text classification solution

The Azure AI Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.

Learning objectives

After completing this module, you’ll be able to:

  • Understand types of classification projects
  • Build a custom text classification project
  • Tag data, train, and deploy a model
  • Submit classification tasks from your own app

Prerequisites

Before starting this module, you should be familiar with:

  • The Azure portal
  • Familiarity with Azure AI Services
  • General programming techniques

Module 5: Create a custom named entity extraction solution

Build a custom entity recognition solution to extract entities from unstructured documents

Learning objectives

After completing this module, you’ll be able to:

  • Understand custom named entities and how they’re labeled.
  • Build a Language service project.
  • Label data, train, and deploy an entity extraction model.
  • Submit extraction tasks from your own app.

Prerequisites

Before starting this module, you should be familiar with:

  • The Azure portal
  • General functionality of Azure AI Services
  • General programming technique

Module 6: Translate text with Azure AI Translator service
The Translator service enables you to create intelligent apps and services that can translate text between languages.

Learning objectives

After completing this module, you’ll be able to:

  • Provision a Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations

Prerequisites

Before starting this module, you need

  • Familiarity with Microsoft Azure and the Azure portal.
  • Experience programming with C# or Python.

Module 7: Create speech-enabled apps with Azure AI services

The Azure AI Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.

Learning objectives

In this module, you’ll learn how to:

  • Provision an Azure resource for the Azure AI Speech service
  • Use the Azure AI Speech to text API to implement speech recognition
  • Use the Text to speech API to implement speech synthesis
  • Configure audio format and voices
  • Use Speech Synthesis Markup Language (SSML)

Prerequisites

Before starting this module, you should:

  • Be familiar with Azure services and the Azure portal
  • Have experience programming with C# or Python

Module 8: Translate speech with the Azure AI Speech service

Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.

Learning objectives

In this module, you will learn how to:

  • Provision Azure resources for speech translation.
  • Generate text translation from speech.
  • Synthesize spoken translations.

Prerequisites

Before starting this module, you should:

  • Be familiar with Azure services and the Azure portal.
  • Have experience programming with C# or Python.
  • Have experience of using the Azure AI Speech service to transcribe speech to text.

Dates & Locations

Let’s make it work for you

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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July 7, 2026 - July 7, 2026

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

July 7, 2026 - July 7, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200

October 6, 2026 - October 6, 2026

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

October 6, 2026 - October 6, 2026

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

Exam & Certification

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language.

Candidates for this credential should have a solid understanding of creating and using various Azure NLP models through both Language Studio and in code, including custom models. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

Tasks performed

  • Deploy a language resource, and use prebuilt models
  • Create a custom text classification solution
  • Create a custom named entity recognition (NER) solution

Training & Certification Guide

Addressing the AI Skills Gap in Malaysia

The Artificial Intelligence (AI) surge across global industries has created immense potential for innovation and economic growth. For Malaysia, AI is pivotal in its ambition to become a digital-first economy. However, despite this goal, the country faces a significant AI skills gap—a shortfall in the number of skilled professionals equipped to meet the rising demands for AI expertise across various industries.

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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