Announcing the Microsoft AI Skills Fest: Save the date!
*Updated as of March 28, 2025 The best way to learn something new is by taking it one step at a time. We know all this talk of AI can be overwhelming, so how about we take it one skill at a time? At Microsoft, our mission has always been to create technology that empowers others to innovate and solve real-world problems. And it’s no different with AI—we want to help you learn to use this powerful technology to make your life easier, especially as it becomes an integral part of our daily lives. Sometimes, starting is the hardest part, so we want to make that part simple for you. This is why we’re excited to announce the Microsoft AI Skills Fest, a global event this April and May, designed to bring learners across the globe together to build their AI skills, from beginner explorers to the technologically gifted. Together, we can learn a new AI skill and maybe even set a groundbreaking record at the same time! Everyone everywhere is invited The AI Skills Fest is designed with you in mind, offering a wide variety of AI training for everyone, regardless of background or expertise. Join us to build your AI skills and unlock new opportunities for productivity, innovation, and growth. Tech professionals. Learn how to quickly build AI-powered solutions using Microsoft's AI apps and services. Gain skills and experience working with agents, AI security, Azure AI Foundry, GitHub Copilot, Microsoft Fabric, and more. Business professionals. Find out how much easier your work life can be when you use Microsoft Copilot to simplify tasks and let your creativity loose! Students. Explore technical skills to bring your ideas to life, with AI learning experiences for all skill levels and interests. Business leaders. Empower your teams with AI skills for future success through curated upskilling opportunities. Let’s earn a GUINNESS WORLD RECORDS™ title together on April 8, 2025! The Microsoft AI Skills Fest will begin with a spectacular Kickoff Celebration on April 8, 2025. Starting in Australia at 9 AM Australian Eastern Standard Time and wrapping up in the United States at 4 PM Pacific Daylight Time, this 24-hour, globe-spanning event will feature a variety of AI learning activities designed to engage and inspire learners of all experience levels. Together, we’ll have a once-in-a-lifetime opportunity to attempt a GUINNESS WORLD RECORDS™ title for most users to take an online multi-level artificial intelligence lesson in 24 hours. Don’t miss this unique chance to learn, compete, and celebrate your achievements—and to be part of these unprecedented and record-setting global festivities. Check out the learning experiences we've prepared for this day. Mark your calendar and register now. Deepen your skills over 50 days of AI learning The celebration doesn't stop there! Following the kickoff, the AI Skills Fest will continue for 50 days— through May 28, 2025—offering a wide array of learning opportunities. Whether you're a tech professional, business leader, business professional, student, or AI enthusiast, there will be engaging and challenging training for you. Participate in hackathons, live in-person and virtual training, self-paced tutorials, on-demand training, community events, Microsoft Learn Challenges, and more. Mark your calendar for 50 days of AI discovery and learning. The countdown to make history together Save the date, attempt a world record, and get ready to unlock the future with 50 days of AI discovery and learning. Read all the details and register now. Now let’s get learning!Register now for the Microsoft AI Skills Fest!
*Updated as of March 28, 2025. And we’re live! The registration for the Microsoft AI Skills Fest is now open to everyone! Join us on April 8, 2025, as we kick off this global skilling event to bring learners of all levels, ages, and geographies together and attempt to earn a GUINNESS WORLD RECORDS™ title for most users to take an online multi-level artificial intelligence lesson in 24 hours. We understand that the best way to learn something new is by taking it one step at a time, and learning AI is no exception. This is why we’re so excited to bring you the AI Skills Fest to help you gain valuable AI skills and to be part of a historic worldwide event. You can explore a diverse range of learning activities designed to help you build and enhance your business and technical AI proficiency—one skill at a time. After the kickoff on April 8, 2025, you can continue building your expertise with 50 days of AI discovery and learning, through May 28, 2025. Join us on April 8, 2025, to earn a GUINNESS WORLD RECORDS TM title! We’ll kick things off in Australia at 9 AM Australian Eastern Standard Time on April 8, 2025, and finish at 4 PM Pacific Daylight Time on April 8, 2025, with engaging AI learning experiences scheduled around the globe. While we know learning new things is a treat in itself, we thought it’d be extra fun for everyone participating on April 8 to be included in the attempt to earn a GUINNESS WORLD RECORDS™ title—a little “learn and earn” reward. Follow three simple steps to count your participation: Register for the Microsoft AI Skills Fest. On April 8, 2025, participate in one of the learning experiences that we’ve prepared for you. The details will be available on the event page shortly. Confirm your participation before 4 PM Pacific Daylight Time on April 8, 2025. Instructions will be provided during the various learning experiences. Check out all the learning experiences we've prepared for this day. Unlock the future! Build the skills to stay ahead After the Kickoff Celebration, the AI Skills Fest will continue for a total of 50 exciting days—through May 28, 2025—offering a wealth of training opportunities for learners of all skill levels and roles. Whether you're a business leader, tech professional, business professional, student or general AI enthusiast, the AI Skills Fest offers curated learning experiences for you. Engage in deep dives, experiential content, hackathons, challenges, and practical sessions. By the end of your 50-day skill-building adventure, you’ll have all the confidence you need to level up your AI skills that can unleash your creativity and increase your efficiency. I mean, who doesn’t want a few extra free hours in your day, right? Join us in making history and be part of the Microsoft AI Skills Fest, where you can build the skills you need to put AI to work for you. See you on April 8, 2025!Loop governance, lifecycle, manageability for IT Admins – Nov 2024
Dive into our latest update on Loop governance, lifecycle, and manageability tailored just IT admins! Discover how Loop's seamless integration with Microsoft 365 can transform your team's productivity with real-time co-authoring, versatile components, and enhanced security features. From Copilot Pages to comprehensive manageability roadmap items, this blog has everything you need to confidently pilot and fully enable Loop in your organization.
Azure API Management Your Auth Gateway For MCP Servers
The Model Context Protocol (MCP) is quickly becoming the standard for integrating Tools 🛠️ with Agents 🤖 and Azure API Management is at the fore-front, ready to support this open-source protocol 🚀. You may have already encountered discussions about MCP, so let's clarify some key concepts: Model Context Protocol (MCP) is a standardized way, (a protocol), for AI models to interact with external tools, (and either read data or perform actions) and to enrich context for ANY language models. AI Agents/Assistants are autonomous LLM-powered applications with the ability to use tools to connect to external services required to accomplish tasks on behalf of users. Tools are components made available to Agents allowing them to interact with external systems, perform computation, and take actions to achieve specific goals. Azure API Management: As a platform-as-a-service, API Management supports the complete API lifecycle, enabling organizations to create, publish, secure, and analyze APIs with built-in governance, security, analytics, and scalability. New Cool Kid in Town - MCP AI Agents are becoming widely adopted due to enhanced Large Language Model (LLM) capabilities. However, even the most advanced models face limitations due to their isolation from external data. Each new data source requires custom implementations to extract, prepare, and make data accessible for any model(s). - A lot of heavy lifting. Anthropic developed an open-source standard - the Model Context Protocol (MCP), to connect your agents to external data sources such as local data sources (databases or computer files) or remote services (systems available over the internet through e.g. APIs). MCP Hosts: LLM applications such as chat apps or AI assistant in your IDEs (like GitHub Copilot in VS Code) that need to access external capabilities MCP Clients: Protocol clients that maintain 1:1 connections with servers, inside the host application MCP Servers: Lightweight programs that each expose specific capabilities and provide context, tools, and prompts to clients MCP Protocol: Transport layer in the middle At its core, MCP follows a client-server architecture where a host application can connect to multiple servers. Whenever your MCP host or client needs a tool, it is going to connect to the MCP server. The MCP server will then connect to for example a database or an API. MCP hosts and servers will connect with each other through the MCP protocol. You can create your own custom MCP Servers that connect to your or organizational data sources. For a quick start, please visit our GitHub repository to learn how to build a remote MCP server using Azure Functions without authentication: https://aka.ms/mcp-remote Remote vs. Local MCP Servers The MCP standard supports two modes of operation: Remote MCP servers: MCP clients connect to MCP servers over the Internet, establishing a connection using HTTP and Server-Sent Events (SSE), and authorizing the MCP client access to resources on the user's account using OAuth. Local MCP servers: MCP clients connect to MCP servers on the same machine, using stdio as a local transport method. Azure API Management as the AI Auth Gateway Now that we have learned that MCP servers can connect to remote services through an API. The question now rises, how can we expose our remote MCP servers in a secure and scalable way? This is where Azure API Management comes in. A way that we can securely and safely expose tools as MCP servers. Azure API Management provides: Security: AI agents often need to access sensitive data. API Management as a remote MCP proxy safeguards organizational data through authentication and authorization. Scalability: As the number of LLM interactions and external tool integrations grows, API Management ensures the system can handle the load. Security remains to be a critical piece of building MCP servers, as agents will need to securely connect to protected endpoints (tools) to perform certain actions or read protected data. When building remote MCP servers, you need a way to allow users to login (Authenticate) and allow them to grant the MCP client access to resources on their account (Authorization). MCP - Current Authorization Challenges State: 4/10/2025 Recent changes in MCP authorization have sparked significant debate within the community. 🔍 𝗞𝗲𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 with the Authorization Changes: The MCP server is now treated as both a resource server AND an authorization server. This dual role has fundamental implications for MCP server developers and runtime operations. 💡 𝗢𝘂𝗿 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: To address these challenges, we recommend using 𝗔𝘇𝘂𝗿𝗲 𝗔𝗣𝗜 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 as your authorization gateway for remote MCP servers. 🔗For an enterprise-ready solution, please check out our azd up sample repo to learn how to build a remote MCP server using Azure API Management as your authentication gateway: https://aka.ms/mcp-remote-apim-auth The Authorization Flow The workflow involves three core components: the MCP client, the APIM Gateway, and the MCP server, with Microsoft Entra managing authentication (AuthN) and authorization (AuthZ). Using the OAuth protocol, the client starts by calling the APIM Gateway, which redirects the user to Entra for login and consent. Once authenticated, Entra provides an access token to the Gateway, which then exchanges a code with the client to generate an MCP server token. This token allows the client to communicate securely with the server via the Gateway, ensuring user validation and scope verification. Finally, the MCP server establishes a session key for ongoing communication through a dedicated message endpoint. Diagram source: https://aka.ms/mcp-remote-apim-auth-diagram Conclusion Azure API Management (APIM) is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). In this blog, we've emphasized the simplicity of connecting AI agents to various data sources through MCP, streamlining previously complex implementations. Given the critical role of secure access to platforms and services for AI agents, APIM offers robust solutions for managing OAuth tokens and ensuring secure access to protected endpoints, making it an invaluable asset for enterprises, despite the challenges of authentication. API Management: An Enterprise Solution for Securing MCP Servers Azure API Management is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). It is designed to help you to securely expose your remote MCP servers. MCP servers are still very new, and as the technology evolves, API Management provides an enterprise-ready solution that will evolve with the latest technology. Stay tuned for further feature announcements soon! Acknowledgments This post and work was made possible thanks to the hard work and dedication of our incredible team. Special thanks to Pranami Jhawar, Julia Kasper, Julia Muiruri, Annaji Sharma Ganti Jack Pa, Chaoyi Yuan and Alex Vieira for their invaluable contributions. Additional Resources MCP Client Server integration with APIM as AI gateway Blog Post: https://aka.ms/remote-mcp-apim-auth-blog Sequence Diagram: https://aka.ms/mcp-remote-apim-auth-diagram APIM lab: https://aka.ms/ai-gateway-lab-mcp-client-auth Python: https://aka.ms/mcp-remote-apim-auth .NET: https://aka.ms/mcp-remote-apim-auth-dotnet On-Behalf-Of Authorization: https://aka.ms/mcp-obo-sample 3rd Party APIs – Backend Auth via Credential Manager: Blog Post: https://aka.ms/remote-mcp-apim-lab-blog APIM lab: https://aka.ms/ai-gateway-lab-mcp YouTube Video: https://aka.ms/ai-gateway-lab-demo
