Microsoft Virtual Training Days

Adapt your skills and master the tools you’ll need to thrive in an AI-powered world at a free Microsoft Security Virtual Training Day from Microsoft Learn. Join us at Strengthen Cloud Security with Microsoft...

Learn to simplify data insights with a lakehouse using Microsoft Fabric, streamline workflows for large data volumes, and understand data interactions across Synapse, Data Factory, and Power BI.

Learn the basic concepts of security, compliance, and identity, and discover Microsoft Security end-to-end solutions that help you protect people, data, and infrastructure.

Discover strategies to protect your Azure IaaS and Azure SQL workloads, improve security posture, defend against threats, and get best practices for a scalable migration to the cloud.

Learn how to streamline the management of user identities, apps, and devices across Windows 11 and Windows 365, and discover how Microsoft Intune makes it easier to support your team.

Learn how to create efficient canvas apps in Power Apps and deploy automations in Power Automate. Discover how to use low-code tools and AI-powered assistance in Microsoft Copilot.

Learn how to set up and operate Linux applications on Azure and understand how migrating to the cloud can help organizations prepare for AI deployments, manage costs, and enhance security.

Discover how generative AI-powered solutions help service teams work smarter, deliver more personalized and engaging experiences, and boost operational efficiency.

Advance your AI agent development skills using Azure AI Foundry Agent Service and the Semantic Kernel Agent Framework.

Adapt your skills and master the tools you’ll need to thrive in an AI-powered world at a free Microsoft Security Virtual Training Day from Microsoft Learn. Join us at Strengthen Cloud Security with Microsoft...

Learn how to help protect and manage AI agents using Copilot Control System to grant permissions and understand the tools to use when creating agents to govern data and minimize loss.

Explore real-world use cases for AI agents to increase productivity by automating workflows, providing contextual support, and guiding people through complex tasks.