Leverage AI for faster, more productive coding with GitHub Copilot
GitHub Copilot serves as an invaluable learning tool for developers, especially those who are still learning a particular programming language or framework. By providing context-aware suggestions, it helps learners understand the syntax, structure, and logic behind different code snippets. While fundamental knowledge of programming concepts and syntax services should remain a prerequisite, a developer exploring a new framework would be able to describe the functionality they want to implement, and GitHub Copilot will generate code that demonstrates how to achieve it. This accelerates the learning process and empowers developers to gain proficiency in new technologies more efficiently.AI Dev Days 2025: Your Gateway to the Future of AI Development
What’s in Store? Day 1 – 10 December: Video Link Building AI Applications with Azure, GitHub, and Foundry Explore cutting-edge topics like: Agentic DevOps Azure SRE Agent Microsoft Foundry MCP Models for AI innovation Day 2 – 11 December Agenda: Video Link Using AI to Boost Developer Productivity Get hands-on with: Agent HQ VS Code & Visual Studio 2026 GitHub Copilot Coding Agent App Modernisation Strategies Why Join? Hands-on Labs: Apply the latest product features immediately. Highlights from Microsoft Ignite & GitHub Universe 2025: Stay ahead of the curve. Global Reach: Local-language workshops for LATAM and EMEA coming soon. You’ll recognise plenty of familiar faces in the lineup – don’t miss the chance to connect and learn from the best! 👉 Register now and share widely across your networks – there’s truly something for everyone! https://aka.ms/ai-dev-days
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Weekly AMA 'Ask Me Anything': Build Smarter with Azure Developer CLI Calling all AI engineers, developers, and builders of the future, this is your backstage pass to the tools shaping scalable, agentic AI deployments. Join Kristen Womack, Product Manager for the Azure Developer CLI (azd) Developer CLI (azd), and the engineering team behind azd for a live Ask Me Anything session every Thursday at 12:30pm PT in the Azure AI Foundry Discord. Whether you're: 🧠 Orchestrating multi-agent systems 📦 Deploying LLM-powered apps with Azure AI Foundry 🔐 Navigating least-privilege infrastructure setups 🛠️ Debugging and optimizing reproducible workflows …this AMA is your chance to connect directly with the team building the CLI that powers it all. 💡 Why Join? Real-time answers from the azd engineers and product team Deployment walkthroughs for Foundry templates, from chatbots to document processors Tips for CI/CD, debugging, and reproducibility in enterprise environments Community-first mindset: bring your feedback, challenges, and ideas Kristen Womack brings deep insight into developer experience and product strategy; this is a rare opportunity to learn from the source and shape the future of AI tooling. 🔧 Get Ready Before you join: Install azd 👉 Install Guide Explore Kristen’s work 👉 www.kristenwomack.io Join the Discord 👉 Azure AI Foundry Community 🗓️ Weekly Schedule 🕧 Thursdays at 12:30pm PT 📍 Azure AI Foundry Discord Bring your questions. Bring your curiosity. Build with the best. Additional resources: check out the AZD for Beginners course https://aka.ms/azd-for-beginnersEssential Microsoft Resources for MVPs & the Tech Community from the AI Tour
Unlock the power of Microsoft AI with redeliverable technical presentations, hands-on workshops, and open-source curriculum from the Microsoft AI Tour! Whether you’re a Microsoft MVP, Developer, or IT Professional, these expertly crafted resources empower you to teach, train, and lead AI adoption in your community. Explore top breakout sessions covering GitHub Copilot, Azure AI, Generative AI, and security best practices—designed to simplify AI integration and accelerate digital transformation. Dive into interactive workshops that provide real-world applications of AI technologies. Take it a step further with Microsoft’s Open-Source AI Curriculum, offering beginner-friendly courses on AI, Machine Learning, Data Science, Cybersecurity, and GitHub Copilot—perfect for upskilling teams and fostering innovation. Don’t just learn—lead. Access these resources, host impactful training sessions, and drive AI adoption in your organization. Start sharing today! Explore now: Microsoft AI Tour Resources.Practical ways to use AI in your Data Science and ML journey
Are you ready to take your learning from “just reading” to “actively doing”? We are launching a series of interactive events designed to help you bridge the gap between theory and practice, connect with peers, and learn directly from experts, all in a vibrant, supportive Discord community. The series will guide you on practical ways to use AI in your learning journey with Data Science and Machine Learning. Join the series on Discord at: https://aka.ms/ds4beginners/discord Why You Should Join Guided Pathways: Move seamlessly from the popular Data Science for Beginners and Machine Learning for Beginners curriculums to interact with fellow learners in the Azure AI Foundry Discord community. We’ve designed study plans, office hours sessions, and showcases so you can learn, ask questions, and get feedback in real time. Practical AI Skills: See how Artificial Intelligence can supercharge your learning. . Community & Collaboration: Find peer learners with similar goals, collaborate on projects, and get support from experienced moderators and MVPs. Machine Learning AMA 1 Theme: Learning Machine Learning with AI, responsibly. Date: Tuesday, 23 September (10AM PST | 1PM ET | 5PM GMT | 8PM EAT) What to Expect: Curriculum overview, hands-on AI demos, critique and correct a simple classifier, and peer collaboration. Link: https://aka.ms/learnwithai/ml Data Science AMA 2 Theme: Learning Data Science with AI, responsibly. Date: Tuesday, 30 September (10AM PST | 1PM ET | 5PM GMT | 8PM EAT) What to Expect: Curriculum overview, integrating AI into your learning, live Q&A, and practical tips for responsible AI use. Link: https://aka.ms/learnwithai/ds Showcase 1: GitHub Copilot for Data Science Theme: Hands-on AI Agents for Data Scientists Date: Thursday, 25 September (10AM PST | 1PM ET | 5PM GMT | 8PM EAT) What to Expect: Learn to use Copilot’s advanced features in Python and Jupyter Notebooks, customize agents, and extend your analyses. Link: https://aka.ms/learnwithai/agents How to Get Involved Join the Discord Channels: https://aka.ms/ds4beginners/discord https://aka.ms/ml4beginners/discord Prepare: Make sure you have a GitHub account, VS Code, Data Wrangler, ready for hands-on sessions. What Makes This Program Different? Discord first learning: Experience higher engagement and deeper connections. Curriculum-anchored activities: Every event is designed to build on what you’ve learned in the open-source curriculums. AI-powered study plans and resources: Get starter notebooks, prompt cards, and recap templates to accelerate your progress. Resources Hands-on workshop: https://aka.ms/ds-agents Data Science for beginner's curriculum: https://aka.ms/ds4beginners Machine Learning for beginner's curriculum: https://aka.ms/ml4beginners Ready to transform your learning journey? Join us for these exciting events and join us in the Azure AI Foundry Discord community. Whether you’re just starting out or looking to deepen your skills, there’s a place for you here!Announcing MSGraph Provider Public Preview and the Microsoft Terraform VSCode Extension
We are thrilled to announce two exciting developments in the Microsoft ecosystem for Terraform infrastructure-as-code (IaC) practitioners: the public preview of the Terraform Microsoft Graph (MSGraph) provider and the release of the Microsoft Terraform Visual Studio Code (VSCode) extension. These innovations are designed to streamline your workflow, empower your automation, and make managing Microsoft cloud resources easier than ever. Public Preview: Terraform Microsoft Graph (MSGraph) Provider The Terraform MSGraph provider empowers you to manage Entra APIs like privileged identity management as well as M365 Graph APIs like SharePoint sites from day 0 by leveraging the power and flexibility of HashiCorp Configuration Language (HCL) in Terraform. resource "msgraph_resource" "application" { url = "applications" body = { displayName = "My Application" } response_export_values = { all = "@" app_id = "appId" } } output "app_id" { value = msgraph_resource.application.output.app_id } output "all" { // it will output the whole response value = msgraph_resource.application.output.all } Historically, Terraform users could utilize the `azuread` provider to manage Entra features like users, groups, service principals, and applications. The new `msgraph` provider also supports these features and extends functionality to all beta and v1 Microsoft Graph endpoints. Querying role assignments for a service principal The below example shows how to use the `msgraph` provider to grant app permissions to a service principal: locals { MicrosoftGraphAppId = "00000003-0000-0000-c000-000000000000" # AppRoleAssignment userReadAllAppRoleId = one([for role in data.msgraph_resource.servicePrincipal_msgraph.output.all.value[0].appRoles : role.id if role.value == "User.Read.All"]) userReadWriteRoleId = one([for role in data.msgraph_resource.servicePrincipal_msgraph.output.all.value[0].oauth2PermissionScopes : role.id if role.value == "User.ReadWrite"]) # ServicePrincipal MSGraphServicePrincipalId = data.msgraph_resource.servicePrincipal_msgraph.output.all.value[0].id TestApplicationServicePrincipalId = msgraph_resource.servicePrincipal_application.output.all.id } data "msgraph_resource" "servicePrincipal_msgraph" { url = "servicePrincipals" query_parameters = { "$filter" = ["appId eq '${local.MicrosoftGraphAppId}'"] } response_export_values = { all = "@" } } resource "msgraph_resource" "application" { url = "applications" body = { displayName = "My Application" requiredResourceAccess = [ { resourceAppId = local.MicrosoftGraphAppId resourceAccess = [ { id = local.userReadAllAppRoleId type = "Scope" }, { id = local.userReadWriteRoleId type = "Scope" } ] } ] } response_export_values = { appId = "appId" } } resource "msgraph_resource" "servicePrincipal_application" { url = "servicePrincipals" body = { appId = msgraph_resource.application.output.appId } response_export_values = { all = "@" } } resource "msgraph_resource" "appRoleAssignment" { url = "servicePrincipals/${local.MSGraphServicePrincipalId}/appRoleAssignments" body = { appRoleId = local.userReadAllAppRoleId principalId = local.TestApplicationServicePrincipalId resourceId = local.MSGraphServicePrincipalId } } SharePoint & Outlook Notifications With your service principals properly configured, you can set up M365 endpoint workflows such an outlook notification template list as shown below. The actual service principal setup has been omitted from this code sample for the sake of brevity, but you will need Sites.Manage.All, Sites.ReadWrite.All, User.Read, and User.Read.All permissions for this example to work: data "msgraph_resource" "sharepoint_site_by_path" { url = "sites/microsoft.sharepoint.com:/sites/msgraphtest:" response_export_values = { full_response = "@" site_id = "id || ''" } } resource "msgraph_resource" "notification_templates_list" { url = "sites/${msgraph_resource.sharepoint_site_by_path.output.site_id}/lists" body = { displayName = "DevOps Notification Templates" description = "Centrally managed email templates for DevOps automation" template = "genericList" columns = [ { name = "TemplateName" text = { allowMultipleLines = false appendChangesToExistingText = false linesForEditing = 1 maxLength = 255 } }, { name = "Subject" text = { allowMultipleLines = false appendChangesToExistingText = false linesForEditing = 1 maxLength = 500 } }, { name = "HtmlBody" text = { allowMultipleLines = true appendChangesToExistingText = false linesForEditing = 10 maxLength = 10000 } }, { name = "Recipients" text = { allowMultipleLines = true appendChangesToExistingText = false linesForEditing = 3 maxLength = 1000 } }, { name = "TriggerConditions" text = { allowMultipleLines = true appendChangesToExistingText = false linesForEditing = 5 maxLength = 2000 } } ] } response_export_values = { list_id = "id" list_name = "displayName" web_url = "webUrl" } } The MSGraph provider is to AzureAD as the AzAPI provider is to AzureRM. Since support for resource types is automatic, you can access the latest features and functionality as soon as they're released via the provider. AzureAD will continue to serve as the convenience layer implementation of a subset of Entra APIs. We invite you to try the new provider today: - Deploy your first msgraph resources - Check out the registry page - Visit the provider GitHub Introducing the Microsoft Terraform VSCode Extension The new official Microsoft Terraform extension for Visual Studio Code consolidates AzureRM, AzAPI, and MSGraph VSCode support into a single powerful extension. The extension supports exporting Azure resources as Terraform code, as well as IntelliSense, syntax highlighting, and code sample generation. It replaces the Azure Terraform and AzAPI VSCode extensions and adds some new features. Installation & Migration New users can install the extension by searching “Microsoft Terraform” within Visual Studio Marketplace or their “Extensions” tab. Users can also click this link to the Visual Studio marketplace. Users of the “Azure Terraform” extension can navigate to “Extensions” tab and selecting the old extension. Select the “Migrate” button to move to the new extension. Users of the “Terraform AzAPI Provider” extension will be directed to the new extension: New Features Export Azure Resources As Terraform This feature allows you to export existing Azure resources as Terraform configuration blocks using Azure Export for Terraform. This helps you migrate existing Azure resources to Terraform-managed infrastructure. Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux). Search for and select the command Microsoft Terraform: Export Azure Resource as Terraform. Follow the prompts to select the Azure subscription and resource group containing the resources you want to export. Select the azurerm provider or the azapi provider to export the resources. The extension will generate the Terraform configuration blocks for the selected resources and display them in a new editor tab. Support for MSGraph The new extension comes fully equipped with intellisense, code completion, and code samples just like the AzAPI provider. See the next section for recorded examples of these features within the AzureRM & AzAPI providers. Preexisting Features Intelligent Code Completion: Benefit from context-aware suggestions, like property names or resource types. Code Samples: Quickly insert code samples for your resources: Paste as AzAPI: Copy your existing resource JSON or ARM Templates into VSCode with the Microsoft Terraform extension, and it will automatically convert your code into AzAPI. The below example takes a resource JSON from the Azure Portal and pastes it into VSCode as AzAPI: Migrate AzureRM to AzAPI: Move existing AzureRM code to the AzAPI provider whenever you wish to. Read more in the Guide to migrate AzureRM resources to AzAPI Feedback We value your feedback! You can share your experience with the Microsoft Terraform extension by running the command Microsoft Terraform: Show Survey from the Command Palette. Your input helps us improve the extension and better serve your needs. Conclusion Whether you are managing traditional Azure resources, modern Microsoft Graph environments, or a combination of both, the new MSGraph provider and Microsoft Terraform VS Code extension are designed to help you deliver robust, reliable infrastructure—faster and with greater confidence. Stay tuned for further updates, workshops, and community events as we continue to evolve these offerings. Your feedback and participation are invaluable as we build the next generation of infrastructure automation together.AZ-500: Microsoft Azure Security Technologies Study Guide
The AZ-500 certification provides professionals with the skills and knowledge needed to secure Azure infrastructure, services, and data. The exam covers identity and access management, data protection, platform security, and governance in Azure. Learners can prepare for the exam with Microsoft's self-paced curriculum, instructor-led course, and documentation. The certification measures the learner’s knowledge of managing, monitoring, and implementing security for resources in Azure, multi-cloud, and hybrid environments. Azure Firewall, Key Vault, and Azure Active Directory are some of the topics covered in the exam.Quest 1 – I Want to Build a Local Gen AI Prototype
In this quest, you’ll build a local Gen AI app prototype using JavaScript or TypeScript. You’ll explore open-source models via GitHub, test them in a visual playground, and use them in real code — all from the comfort of VS Code with the AI Toolkit. It’s fast, hands-on, and sets you up to build real AI apps, starting with a sketch.JS AI Build-a-thon Setup in 5 Easy Steps
🔥 TL;DR — You’re 5 Steps Away from an AI Adventure Set up your project repo, follow the quests, build cool stuff, and level up. Everything’s automated, community-backed, and designed to help you actually learn AI — using the skills you already have. Let’s build the future. One quest at a time. 👉 Join the Build-a-thon | Chat on Discord
