Create Custom AI Solutions with Microsoft Copilot Studio.

Discover how to design and extend custom copilots using Microsoft Copilot Studio. This Microsoft Applied Skills course empowers developers and IT professionals to build intelligent assistants tailored to specific business needs. Learn to integrate AI capabilities seamlessly into workflows, automate repetitive tasks, and enhance productivity across teams.

With hands-on training, you’ll gain the skills to craft innovative solutions that drive efficiency and support smarter decision-making.

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

Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users.

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.

Skills Covered

  • Plan and prepare to develop AI solutions on Azure
  • Choose and deploy models from the model catalog in Azure AI Foundry portal
  • Develop an AI app with the Azure AI Foundry SDK
  • Get started with prompt flow to develop language model apps in the Azure AI Foundry
  • Develop a RAG-based solution with your own data using Azure AI Foundry
  • Fine-tune a language model with Azure AI Foundry
  • Implement a responsible generative AI solution in Azure AI Foundry
  • Evaluate generative AI performance in Azure AI Foundry portal

Prerequisites

  • Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. You should also be proficient in programming with Python or Microsoft C#.

Target Audience

  • Data Scientist
  • AI Engineer

Course Curriculum

Module 1: Plan and prepare to develop AI solutions on Azure

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you’ll use and creating an optimal working environment for your development team.

Learning objectives

By the end of this module, you’ll be able to:

  • Identify common AI capabilities that you can implement in applications
  • Describe Azure AI Services and considerations for using them
  • Describe Azure AI Foundry and considerations for using it
  • Identify appropriate developer tools and SDKs for an AI project
  • Describe considerations for responsible AI

Prerequisites

Before starting this module, you should be familiar with:

  • Basic software development concepts
  • Basic AI concepts
  • Basic Azure concepts

Module 2: Choose and deploy models from the model catalog in Azure AI Foundry portal

Choose the various language models that are available through the Azure AI Foundry’s model catalog. Understand how to select, deploy, and test a model, and to improve its performance.

Learning objectives

By the end of this module, you’ll be able to:

  • Select a language model from the model catalog.
  • Deploy a model to an endpoint.
  • Test a model and improve the performance of the model.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Module 3: Develop an AI app with the Azure AI Foundry SDK

Use the Azure AI Foundry SDK to develop AI applications with Azure AI Foundry projects.

Learning objectives

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

  • Describe capabilities of the Azure AI Foundry SDK.
  • Use the Azure AI Foundry SDK to work with connections in projects.
  • Use the Azure AI Foundry SDK to develop an AI chat app.

Prerequisites

Before starting this module, you should:

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

Module 4: Get started with prompt flow to develop language model apps in the Azure AI Foundry

Learn about how to use prompt flow to develop applications that leverage language models in the Azure AI Foundry.

Learning objectives

By the end of this module, you’ll be able to:

  • Understand the development lifecycle when creating language model applications.
  • Understand what a flow is in prompt flow.
  • Explore the core components when working with prompt flow.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Module 5: Develop a RAG-based solution with your own data using Azure AI Foundry

Retrieval Augmented Generation (RAG) is a common pattern used in generative AI solutions to ground prompts with your data. Azure AI Foundry provides support for adding data, creating indexes, and integrating them with generative AI models to help you build RAG-based solutions.

Learning objectives

By the end of this module, you’ll be able to:

  • Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
  • Index your data with Azure AI Search to make it searchable for language models
  • Build an agent using RAG on your own data in the Azure AI Foundry portal

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.

Module 6: Fine-tune a language model with Azure AI Foundry

Train a base language model on a chat-completion task. The model catalog in Azure AI Foundry offers many open-source models that can be fine-tuned for your specific model behavior needs.

Learning objectives

By the end of this module, you’ll be able to:

  • Understand when to fine-tune a model.
  • Prepare your data to fine-tune a chat completion model.
  • Fine-tune a base model in the Azure AI Foundry portal.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Module 7: Implement a responsible generative AI solution in Azure AI Foundry

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Learning objectives

By the end of this module, you’ll be able to:

  • Describe an overall process for responsible generative AI solution development
  • Identify and prioritize potential harms relevant to a generative AI solution
  • Measure the presence of harms in a generative AI solution
  • Mitigate harms in a generative AI solution
  • Prepare to deploy and operate a generative AI solution responsibly

Prerequisites

Before starting this module, you should be familiar with Azure AI Foundry. Consider completing the Introduction to Azure AI Foundry module before starting this one.

Module 8: Evaluate generative AI performance in Azure AI Foundry portal

Evaluating copilots is essential to ensure your generative AI applications meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your generative AI applications using the tools and features available in the Azure AI Studio.

Learning objectives

By the end of this module, you’ll be able to:

  • Understand model benchmarks.
  • Perform manual evaluations.
  • Assess your generative AI apps with AI-assisted metrics.
  • Configure evaluation flows in the Azure AI Foundry portal.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Dates & Locations

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July 9, 2026 - July 9, 2026

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

July 9, 2026 - July 9, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200

October 8, 2026 - October 8, 2026

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

October 8, 2026 - October 8, 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 2025 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

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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