Discover how Microsoft 365 Copilot enhances productivity and innovation across diverse functional areas, from finance and HR to sales, operations, marketing, IT, and beyond. This experience provides insights into crafting contextual prompts for Copilot and engaging use case scenarios that showcase seamless integration into daily business workflows. Whether you’re a business user looking to streamline tasks or a decision-maker exploring AI-driven efficiencies, this course equips you with the skills to maximize Copilot’s potential in your role.
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This course directs users to learn common prompt flows in Microsoft 365 apps including PowerPoint, Word, Excel, Teams, and Outlook. It also introduces Microsoft 365 Copilot Chat and discusses the difference between work and web grounded data.
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Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework.
By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
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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AI-102: Develop AI solutions in Azure 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.
As of 13th June, the AI-102T00: Develop AI Solutions in Azure course has been updated and restructured to provide learners with a more cohesive and in-depth journey through key AI concepts and applications. This update brings together five 1-day AI courses into a single, comprehensive learning experience:
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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 2025. Be the professional businesses are searching for—get Data & AI certified today!
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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:
- 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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This DP-601T00: Implementing a Lakehouse with Microsoft Fabric course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept.
This official Microsoft course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines.
This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric.
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Learn the business value and product capabilities of Microsoft Power Platform. Connect data with Dataverse, build simple canvas and model-driven apps, automate a process with Power Automate, and build a Power Pages site.
PRO Tip: What makes Power Apps different from other tools such as SkyBow, Stratus Forms, FlowForma and more? Do check out our latest Design Customized Apps with Microsoft Power Apps blog post to know more.
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GitHub Foundations introduces you to the fundamental concepts, features, and products of GitHub. You’ll discover the benefits of using GitHub as a collaborative platform and explore its core features, such as repository management, commits, branches, and merging.
Through curated modules and hands-on exercises, you’ll gain a solid understanding of GitHub’s essential tools and be well-equipped to start contributing to projects and collaborating effectively within GitHub.
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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.
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Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform’s capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark’s scalability and Azure Databricks’ collaborative environment, you can design complex AI systems.
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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.
