Develop dynamic reports with Microsoft Power BI
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Boost Your IT Career with Microsoft Applied Skills in 2025
Microsoft Applied Skills offers IT professionals in Malaysia an unparalleled opportunity to enhance their expertise and gain industry-recognized credentials that are crucial for career advancement.
Why Choose Microsoft Applied Skills?
- Real-World Relevance: Microsoft Applied Skills focuses on practical, hands-on learning, ensuring that the skills you gain are immediately applicable in the workplace.
- Comprehensive Coverage: The courses cover essential areas like cloud computing, data analysis, cybersecurity, and more, catering to the most in-demand skills in today’s job market.
- Flexible Learning Paths: Designed to fit into your busy schedule, these courses allow you to learn at your own pace, making it easier to balance work and study.
The pace of skills transformation in the country is slower than the pace of digital transformation, emphasizing the need for targeted upskilling initiatives.
By enrolling in Microsoft Applied Skills, Malaysian IT professionals can bridge this gap, equipping themselves with the knowledge and skills needed to thrive in a competitive digital economy.
Get started today with Trainocate – Microsoft Learning Partner of the Year 2024.
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Build Machine Learning Solutions using Azure Databricks.
Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications.
Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning.
In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Develop the skills necessary to configure a secure deployment solution for cloud-native apps. Learn how to build, deploy, scale, and manage containerized cloud-native apps using Azure Container Apps, Azure Container Registry, and Azure Pipelines.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Learn how to gather information from API documentation and perform HTTP operations in an ASP.NET Core Razor Pages web app.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path helps you prepare for the Implement security through a pipeline assessment using Azure DevOps. Learn how to configure and secure Azure Pipelines. You’ll also get opportunities to practice hands-on skills. These skills include configuring secure access to pipeline resources, configuring, and validating permissions, configuring a project and repository structure, extending a pipeline, configuring pipelines to use variables and parameters securely, and managing identity for projects, pipelines, and agents.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
In this learning path, you practice implementing Azure Monitor to collect, analyze and act on monitoring telemetry from Azure environments. You learn to configure and interpret monitoring for virtual machines, networking, and web applications.
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Secure storage for Azure Files and Azure Blob Storage
In this learning path, you practice storing business data securely by using Azure Blob Storage and Azure Files. The skills validated include creating storage accounts, storage containers, and file shares. Also, configuring encryption and networking to improve the security posture.
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Configure secure access to your workloads using Azure virtual networking
In this learning path, you practice configuring secure access to workloads using Azure networking.
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Deploy containers by using Azure Kubernetes Service (AKS)
In this learning path, you practice deploying containers, container orchestration, and managing clusters on Azure Kubernetes Service. The skills validated include deploying, configuring, and scaling an Azure Kubernetes Service cluster. Also, deploying an Azure Container Registry instance and deploying an application into an Azure Kubernetes Service cluster.
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Create computer vision solutions with Azure AI Vision
Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
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:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
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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:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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This course is intended for software developers wanting to build AI infused applications that extract information in Azure, including Azure AI Content Understanding and Azure AI Document Intelligence.
You’ll learn how to:
- Create a multimodal analysis solution with Azure AI Content Understanding
- Create an Azure AI Content Understanding client application
- Use prebuilt Document intelligence models
- Extract data from forms with Azure Document intelligence
- Create a knowledge mining solution with Azure AI Search
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:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
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In this learning path, the student is exposed to various ways to:
- Source streaming data sources into Microsoft Fabric.
- Use real time Eventstream in Microsoft Fabric.
- Query data in a KQL database in Microsoft Fabric.
- Create real time dashboards in Microsoft Fabric.
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Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.
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Real skills for real-time results with Microsoft Applied Skills credentials.
Get started with Microsoft Sentinel security operations by configuring the Microsoft Sentinel workspace, connecting Microsoft services and Windows security events to Microsoft Sentinel, configuring Microsoft Sentinel analytics rules, and responding to threats with automated responses.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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This learning path guides you in securing Azure services and workloads using Microsoft Cloud Security Benchmark controls in Microsoft Defender for Cloud via the Azure portal.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Learn about Microsoft Copilot for Security, an AI-powered security analysis tool that enables analysts to process security signals and respond to threats at a machine speed, and the AI concepts upon which it’s built.
Empower Your Career with Microsoft AI Skills! Join our hands-on courses to build the expertise today’s industries demand. Master AI applications and position yourself as a leader in the digital world.
Check it out – Microsoft Lead The Era of AI
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Learn how to build and distribute Microsoft Teams apps that retrieve user information using the Microsoft Graph API. Practice building and deploying apps in the guided project at the end of the learning path.
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Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Microsoft Applied Skills – the new credentials to verify in-demand technical skills. Get trained and certified in 2024 with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
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Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization’s data.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Transform your business with Microsoft AI
Artificial intelligence is changing the game for businesses across many industries. And organizations are seeking to adopt AI in order to continue to grow. Executives and business decision makers understand that optimizing and automating with AI is necessary to continue ahead. Microsoft is leading AI with learning materials designed for leaders to become confident in achieving their AI related goals with ease.
This learning path can help business decision makers to gain AI mastery and the knowledge to map out critical decisions for their business. Staying on the forefront of the evolving technology behind AI helps business warrant the unlimited potential of artificial intelligence and helps to create continuous value towards innovation. Topics include AI strategy, culture, responsible AI, ethics, organizational change management, data-driven decision-making, and AI transformation in specific industries.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Explore DevOps practices using GitHub. Your development and operations teams will experience improved collaboration, agility, continuous integration, continuous delivery, automation, and operational excellence throughout all phases of the application lifecycle.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production.
- Learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark
- Build confidence in managing distributed data processing
- Get hands-on with the Databricks workspace—navigating clusters and creating and optimizing Delta tables
- Dive into data engineering practices, including designing ETL pipelines, handling schema evolution, and enforcing data quality.
- Automate and manage workloads with Lakeflow Jobs and pipelines
- Explore governance and security capabilities such as Unity Catalog and Purview integration
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Implement retention, eDiscovery, and Communication compliance in Microsoft Purview
In today’s digital environment, managing organizational data efficiently and securely is crucial. Microsoft Purview Data Lifecycle and Records Management solutions help businesses govern their data throughout its lifecycle, ensuring compliance with regulatory requirements. By implementing retention labels and policies, organizations can consistently manage data, minimize risks associated with breaches, and reduce unnecessary storage.
Understanding these tools ensures data is available when needed and securely deleted when it’s not.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Create and extend custom copilots in Microsoft Copilot Studio
Microsoft Copilot Studio is a graphical low-code tool for creating and maintaining copilots.
A copilot is an AI-powered conversational interface based on large language models (LLMs) and additional sources of knowledge. It’s a powerful AI companion that can handle a range of requests, from providing simple responses to common questions to resolving issues requiring complex conversations.
Copilots can engage with customers and employees in multiple languages across websites, mobile apps, Facebook, Microsoft Teams, or any channel supported by the Azure Bot Service.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Build connectors and plugins for Microsoft Copilot for Microsoft 365
What will you get from this course:
- provides comprehensive knowledge and hands-on experience in building declarative agents using Visual Studio Code and Teams Toolkit
- introduction to declarative agents, followed by practical labs that guide them through building their first agent
- understanding API plugins, and implementing APIs.
- advanced topics include creating adaptive cards, managing authentication for API plugins, and integrating Microsoft Graph connectors.
By the end of the course, participants have a solid understanding of how to leverage declarative agents to enhance the functionality of Microsoft 365 Copilot.
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Extend Microsoft Copilot for Microsoft 365 with Copilot Studio
As a developer, you can enhance, enrich, and customize Microsoft Copilot for Microsoft 365 in 2 ways: you can extend Microsoft Copilot or build your own copilot.
On its own, Copilot for Microsoft 365 is a powerful productivity tool for keeping users in the flow of their work across Microsoft 365 applications. It provides users with general skills that enhance personal productivity, such as understanding, summarizing, predicting, recalling, translating, and generating content. It draws from a baseline of your organizational knowledge by indexing content into Microsoft Graph, such as the emails, chats, and documents that users have permission to access.
However, business workflows don’t typically run exclusively on Microsoft 365 applications and experiences. With Copilot extensibility, you can augment Copilot for Microsoft 365 with custom actions and ground your responses with connectors that access data in real-time. You can even extend Copilot’s experiences with declarative and custom copilots that focus on specific user experiences.
IMPORTANT: This course retired 31 Mar 2025 and has been replaced with MS-4022
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This course examines how administrators can manage and extend Microsoft 365 Copilot to meet their business needs. The course introduces you to Copilot, examines how to implement and administer it, and then explores the fundamentals of Copilot extensibility.
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Learn how to implement GitHub Actions and configure Azure Load Testing to automate testing app deployments.
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Learn how to accelerate app development by using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment.
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In this learning path, you prepare for the Applied Skill, Deploy and administer Linux virtual machines on Microsoft Azure.
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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 2025. Be the professional businesses are searching for—get Data & AI certified today!
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This learning path helps prepare you for the APL-1008 Administer Active Directory Domain Services modern credential. You’ll learn how to create, deploy, and maintain an Active Directory Domain Services environment.
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Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.
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 2025. Be the professional businesses are searching for—get Data & AI certified today!
