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This course explores how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.
- Level: Intermediate
- Product: Microsoft Fabric
- Role: Data Analyst, Data Engineer, Data Scientist
- Subject: Data analytics, Data engineering, Data integration, Data management, Data modeling, Data storage, Data visualization
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This course provides a comprehensive guide to designing and implementing platform engineering within modern enterprises. It covers the foundational principles, strategic alignment with business goals, and the practical aspects of building scalable, secure, and future-proof platforms.
By taking this course, learners will gain the knowledge and skills needed to enhance developer productivity, ensure operational excellence, and drive continuous innovation.
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Build intelligent Microsoft Teams apps using the LLMs and AI components of your choice with Teams AI Library. These custom copilots can also be used to extend Microsoft Copilot for Microsoft 365.
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Build practical, governed AI assistants with No-Code Copilot Agents for Microsoft 365 & SharePoint.
This Learning Path examines no-code agents in Microsoft 365 Copilot Chat and SharePoint and explores how Microsoft 365 business users can create, manage, and use them.
Ready to operationalize Copilot agents—minus the risk?
Equip your team to design, govern, and share useful agents that save real hours and raise work quality across Microsoft 365.
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This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
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!
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A Dynamics 365 Business Central developer develops apps that extend Business Central. This can include creating new modules and modifying existing modules. The developer can add new business logic or change existing business logic by using events. A developer also makes it possible to integrate Business Central with other applications, including Microsoft Power Platform products. Business Central developers are responsible for troubleshooting and debugging issues in the system.
This may involve identifying the root cause of a problem, fixing bugs, and testing the solution to ensure it works as expected. Business Central developers may be required to optimize the performance of the system by identifying bottlenecks and improving code quality. Business Central developers are responsible for upgrading the system, migrating data, and maintaining the system to ensure it remains up to date and secure.
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Master the basics with the Microsoft Certified: Azure Fundamentals certification.
This 1-day Azure fundamentals course will provide foundational level knowledge on core Azure concepts; core Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Azure cost management and service level agreements.
Note: This course provides an Azure pass and time for students to participate in hands-on labs.
Level up your skills and stand out with a globally recognized certification with Yayasan Peneraju Financing Scheme – eligible for Bumiputera Malaysians.
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This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.
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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.
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This course covers generative AI engineering on Azure Databricks, using Spark to explore, fine-tune, evaluate, and integrate advanced language models. It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance.
Students will also learn about responsible AI practices for deploying AI solutions and how to manage models in production using LLMOps (Large Language Model Operations) on Azure Databricks.
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In this course, you’ll learn the basics of GitHub and gain a better understanding of its fundamental features with a hands-on exercise all within a GitHub repository. You’ll learn best practices for building, hosting, and maintaining a secure repository on GitHub.






