New Microsoft Certified: AI Transformation Leader Certification
Are you a leader who is ready to transform your business with AI? Do you choose the right AI tools, plan AI adoption, streamline processes, and innovate with Microsoft 365 Copilot and Azure AI services? Can you identify the value of generative AI, along with the benefits and capabilities of Microsoft’s AI apps and services? If this is your skill set, we have a new Microsoft Certification for you. The Microsoft Certified: AI Transformation Leader Certification validates your expertise in these skills. To earn this Certification, you need to pass Exam AB-731: AI Transformation Leader, currently in beta. The new Certification shows employers that you understand the principles of responsible AI and governance, so your teams can innovate safely and ethically. It demonstrates that you can evaluate AI tools, assess return on investment (ROI), and scale adoption responsibly across the enterprise. It also shows that you can envision new ideas with Copilot and use AI to reimagine processes and unlock growth. Is this the right Certification for you? This Certification is designed for business leaders who are interested in driving transformation and innovation. It emphasizes AI fluency, strategic vision, and leadership in AI projects, but it doesn’t require coding or deep technical expertise. As a candidate for this Certification, you should be able to evaluate AI opportunities, encourage responsible adoption, and ensure alignment of AI strategies with your organization’s goals. You should be familiar with Microsoft 365, Azure AI services, and general AI concepts. Ready to prove your skills? Take advantage of the discounted beta exam offer. The first 300 people who take Exam AB-731 (beta), on or before December 11, 2025, can get 80% off market price. To receive the discount, when you register for the exam and are prompted for payment, use code AB731Markers25. This is not a private access code. The seats are offered on a first-come, first-served basis. As noted, you must take the exam on or before December 11, 2025. Please note that this beta exam is not available in Turkey, Pakistan, India, or China. Get ready to take Exam AB-731 (beta): Review the Exam AB-731 (beta) exam page for details. The Exam AB-731 study guide explores key topics covered in the exam. Want even more in-depth, instructor-led training? Connect with Microsoft Training Services Partners in your area for in-person offerings. Instructor-led training for this exam will be available starting December 16th, 2025. Need other preparation ideas? Check out Just How Does One Prepare for Beta Exams? Did you know that you can take any Microsoft Certification exam online? Taking your exam from home or the office can be more convenient and less stressful than traveling to a test center—especially when you know what to expect. To find out more, read Online proctored exams: What to expect and how to prepare. The rescore process starts on the day an exam goes live, and final scores for beta exams are released approximately 10 days after that. For details on the timing of beta exam rescoring and results, check out Creating high-quality exams: The path from beta to live. Ready to get started? Remember, the number of spots is limited to the first 300 candidates taking Exam AB-731 (beta) on or before December 11, 2025. Stay tuned for general availability of this Certification in February 2026. Learn more about Microsoft Credentials. Related announcements We recently migrated our subject matter expert (SME) database to LinkedIn. To be notified of beta exam availability or opportunities to help with the development of exam, assessment, or learning content, sign up today for the Microsoft Worldwide Learning SME Group for Credentials.
Microsoft and NASA apply AI agents to key hydrology data, deepening our understanding of Earth
NASA collects significant amounts of earth observation data, including complex information about hydrology that can help predict droughts and support environmental planning and resilience efforts. But access to this data typically requires deep technical knowledge and specialized tools. NASA and Microsoft are now democratizing access to this data with the help of Azure AI tools and agents to make it easier for more people to make sense of information and make actionable, informed choices from it.From Cloud to Chip: Building Smarter AI at the Edge with Windows AI PCs
As AI engineers, we’ve spent years optimizing models for the cloud, scaling inference, wrangling latency, and chasing compute across clusters. But the frontier is shifting. With the rise of Windows AI PCs and powerful local accelerators, the edge is no longer a constraint it’s now a canvas. Whether you're deploying vision models to industrial cameras, optimizing speech interfaces for offline assistants, or building privacy-preserving apps for healthcare, Edge AI is where real-world intelligence meets real-time performance. Why Edge AI, Why Now? Edge AI isn’t just about running models locally, it’s about rethinking the entire lifecycle: - Latency: Decisions in milliseconds, not round-trips to the cloud. - Privacy: Sensitive data stays on-device, enabling HIPAA/GDPR compliance. - Resilience: Offline-first apps that don’t break when the network does. - Cost: Reduced cloud compute and bandwidth overhead. With Windows AI PCs powered by Intel and Qualcomm NPUs and tools like ONNX Runtime, DirectML, and Olive, developers can now optimize and deploy models with unprecedented efficiency. What You’ll Learn in Edge AI for Beginners The Edge AI for Beginners curriculum is a hands-on, open-source guide designed for engineers ready to move from theory to deployment. Multi-Language Support This content is available in over 48 languages, so you can read and study in your native language. What You'll Master This course takes you from fundamental concepts to production-ready implementations, covering: Small Language Models (SLMs) optimized for edge deployment Hardware-aware optimization across diverse platforms Real-time inference with privacy-preserving capabilities Production deployment strategies for enterprise applications Why EdgeAI Matters Edge AI represents a paradigm shift that addresses critical modern challenges: Privacy & Security: Process sensitive data locally without cloud exposure Real-time Performance: Eliminate network latency for time-critical applications Cost Efficiency: Reduce bandwidth and cloud computing expenses Resilient Operations: Maintain functionality during network outages Regulatory Compliance: Meet data sovereignty requirements Edge AI Edge AI refers to running AI algorithms and language models locally on hardware, close to where data is generated without relying on cloud resources for inference. It reduces latency, enhances privacy, and enables real-time decision-making. Core Principles: On-device inference: AI models run on edge devices (phones, routers, microcontrollers, industrial PCs) Offline capability: Functions without persistent internet connectivity Low latency: Immediate responses suited for real-time systems Data sovereignty: Keeps sensitive data local, improving security and compliance Small Language Models (SLMs) SLMs like Phi-4, Mistral-7B, Qwen and Gemma are optimized versions of larger LLMs, trained or distilled for: Reduced memory footprint: Efficient use of limited edge device memory Lower compute demand: Optimized for CPU and edge GPU performance Faster startup times: Quick initialization for responsive applications They unlock powerful NLP capabilities while meeting the constraints of: Embedded systems: IoT devices and industrial controllers Mobile devices: Smartphones and tablets with offline capabilities IoT Devices: Sensors and smart devices with limited resources Edge servers: Local processing units with limited GPU resources Personal Computers: Desktop and laptop deployment scenarios Course Modules & Navigation Course duration. 10 hours of content Module Topic Focus Area Key Content Level Duration 📖 00 Introduction to EdgeAI Foundation & Context EdgeAI Overview • Industry Applications • SLM Introduction • Learning Objectives Beginner 1-2 hrs 📚 01 EdgeAI Fundamentals Cloud vs Edge AI comparison EdgeAI Fundamentals • Real World Case Studies • Implementation Guide • Edge Deployment Beginner 3-4 hrs 🧠 02 SLM Model Foundations Model families & architecture Phi Family • Qwen Family • Gemma Family • BitNET • μModel • Phi-Silica Beginner 4-5 hrs 🚀 03 SLM Deployment Practice Local & cloud deployment Advanced Learning • Local Environment • Cloud Deployment Intermediate 4-5 hrs ⚙️ 04 Model Optimization Toolkit Cross-platform optimization Introduction • Llama.cpp • Microsoft Olive • OpenVINO • Apple MLX • Workflow Synthesis Intermediate 5-6 hrs 🔧 05 SLMOps Production Production operations SLMOps Introduction • Model Distillation • Fine-tuning • Production Deployment Advanced 5-6 hrs 🤖 06 AI Agents & Function Calling Agent frameworks & MCP Agent Introduction • Function Calling • Model Context Protocol Advanced 4-5 hrs 💻 07 Platform Implementation Cross-platform samples AI Toolkit • Foundry Local • Windows Development Advanced 3-4 hrs 🏭 08 Foundry Local Toolkit Production-ready samples Sample applications (see details below) Expert 8-10 hrs Each module includes Jupyter notebooks, code samples, and deployment walkthroughs, perfect for engineers who learn by doing. Developer Highlights - 🔧 Olive: Microsoft's optimization toolchain for quantization, pruning, and acceleration. - 🧩 ONNX Runtime: Cross-platform inference engine with support for CPU, GPU, and NPU. - 🎮 DirectML: GPU-accelerated ML API for Windows, ideal for gaming and real-time apps. - 🖥️ Windows AI PCs: Devices with built-in NPUs for low-power, high-performance inference. Local AI: Beyond the Edge Local AI isn’t just about inference, it’s about autonomy. Imagine agents that: - Learn from local context - Adapt to user behavior - Respect privacy by design With tools like Agent Framework, Azure AI Foundry and Windows Copilot Studio, and Foundry Local developers can orchestrate local agents that blend LLMs, sensors, and user preferences, all without cloud dependency. Try It Yourself Ready to get started? Clone the Edge AI for Beginners GitHub repo, run the notebooks, and deploy your first model to a Windows AI PC or IoT devices Whether you're building smart kiosks, offline assistants, or industrial monitors, this curriculum gives you the scaffolding to go from prototype to production.Using Reading Coach in the classroom: Microsoft 365 LTI app + educator tools
Hi everyone! As we work to better support learners on their journey to becoming confident readers, I’m excited to share a few updates about Reading Coach – our free, AI-powered reading fluency tool – and highlight how it’s now even more accessible for your classroom. 📣 What's new: Reading Coach in the Microsoft 365 LTI We've heard from educators that managing multiple LTI® integrations can be overwhelming. That's why we're thrilled to announce that Reading Coach is now available in the unified Microsoft 365 LTI! This means you can access Reading Coach alongside other Microsoft education tools – like Class Notebook, Assignments, Reflect, and more – all from a single integration in your Learning Management System (LMS). What does this mean for you? ✅ One integration, many tools: No need to install separate LTI apps for each Microsoft education tool ✅ Simpler for IT admins: A single app to configure and manage ✅ Same great Reading Coach experience: All the AI-powered fluency features you love If your school uses Canvas, Schoology Learning, Blackboard, Brightspace by D2L, Moodle ™, or another LTI 1.3 Advantage platform, ask your LMS administrator about enabling the Microsoft 365 LTI. Where to find Reading Coach in the Microsoft 365 LTI Navigate to the Microsoft Education placement in your LMS and select Course settings in the top right under your profile image. Ensure Reading Coach is toggled on. If you don’t see it, your administrator might need to enable it for your district. To learn more, check out these resources: For educators: Microsoft 365 LTI User Docs For administrators: Microsoft 365 LTI Deployment Guide 📖 How-to: getting started with guided practice in Reading Coach Guided practice allows educators to create reading assignments that students can join with a simple link or code – no complex setup required. What is guided practice? Guided practice features bridge the gap between free reading and formal assignments. Educators can create two types of practices: Practice Type What It Does Open Reading Set a time goal (for example, "Read for 20 minutes"). Students can read anything in the app – AI stories, library passages – to reach their goal. Single Passage Share a specific text for students to read. Paste your own content or choose from the built-in ReadWorks library. 🎬 See It in Action Watch this quick demo video to see guided practice features in action: Step 1: Access Reading Coach as an educator Go to coach.microsoft.com or access Reading Coach through the All Apps list on microsoft365.com. Keep an eye out for a lightweight guided practice preview in Reading Coach in the Microsoft 365 LTI soon! Sign in with your school Microsoft account (Microsoft Entra ID). Look for the Teacher/Student toggle at the top of the home page – make sure you're in Teacher view. Step 2: Create a new practice Select Create a Practice. Choose your practice type: Open Reading: Set a time goal. Single Passage: Paste custom text or browse the ReadWorks library. Give your practice a name that students will recognize. Select Create. Step 3: Share with students Once your practice is created, you'll see: A unique Join Code (for example, "567123") A direct link to share Share either of these with your students via: Your LMS announcement or assignment Projected on your classroom board Email or messaging Step 4: Monitor student progress From each practice in the Teacher tab, you can track: Completion status: Who has started? Who has finished? Time spent: How long did each student practice? Fluency metrics: Words Per Minute (WPM) and Accuracy percentage Individual history: Drill down into any student's reading journey Requirements To use Guided Practice: Accounts: Requires Microsoft Entra ID (school) accounts Same tenant: Educators and students must belong to the same Microsoft 365 tenant No-cost: No additional licenses required beyond Microsoft 365 Education Get Started Today! Reading Coach is free for all Microsoft 365 Education users. Whether you're using it standalone at coach.microsoft.com or through the Microsoft 365 LTI app in your LMS, we're here to help every student build reading confidence. Helpful Links: 📘 Reading Coach on Microsoft Learn 💬 Share feedback with us by joining our EDU Insider Program Have questions? Drop them in the comments below – I'd love to hear how you're using Reading Coach in your classroom! Until next time, Emma Gray Microsoft Education Learning Tools Interoperability® (LTI®) is a trademark of the 1EdTech Consortium, Inc. (1edtech.org) The word Moodle and associated Moodle logos are trademarks or registered trademarks of Moodle Pty Ltd or its related affiliates.Microsoft Marketplace offer live? Make it shine. 🌟
App Advisorgives you the fastest path from listing to momentum: clear steps to optimize, promote, and convert on Microsoft Marketplace. Get the practical, step‑by‑step guidance in our new post - then open App Advisor to put it into action. 🔗 Learn more here.
SharePoint at 25: The knowledge platform for Copilot and agents
Join us for a global digital event to celebrate the 25th birthday of SharePoint! Gear up for an exciting look at SharePoint’s historic moments along with an exclusive look ahead to the next chapter of SharePoint’s AI future! You will discover how SharePoint’s new content AI capabilities and intelligent experiences will transform the way people create, manage, and collaborate. Be sure to stick around after for our live Ask Microsoft Anything (AMA), where you can ask your questions about the exciting new SharePoint features directly to the product team! 🛠️ Don’t miss the SharePoint Hackathon in March 2026 Design, create, share! We are excited to invite you to a hackathon dedicated to crafting exceptional employee experiences using AI and the latest SharePoint features. More details coming soon.Key AI announcements for software developers from Microsoft Ignite 2025
At Microsoft Ignite 2025, Microsoft unveiled a series of AI innovations that signal a significant evolution in how software developers build, deploy, and scale intelligent solutions. Central to these announcements is Microsoft Foundry, a unified platform designed to simplify the development, orchestration, and governance of AI agents across Microsoft’s cloud and application ecosystem. The announcements also introduced Foundry IQ, enabling secure, compliant access to enterprise data for AI agents, along with a new Foundry Control Plane that provides centralized visibility and operational control. Together, these capabilities help reduce complexity while supporting enterprise-grade security, compliance, and scalability requirements. Additional highlights include expanded model choice and flexibility through enhanced Model Router support and deeper integration of third-party models, as well as new capabilities that allow developers to publish and distribute AI agents directly into Microsoft 365 and Teams, creating powerful new go-to-market opportunities. Read the full article to learn more about these Microsoft Ignite announcements, what they mean for software developers, and how to take advantage of Microsoft’s rapidly evolving AI and Marketplace ecosystem.Unlocking growth: The channel-led Marketplace opportunity
The Microsoft Marketplace is creating new ways for partners to scale and grow. This article explores how channel-led strategies can accelerate customer acquisition, expand reach, and drive revenue through marketplace transactions. Learn why embracing marketplace collaboration is critical for future success and how partners can leverage these opportunities to deliver greater value. Unlocking growth: the channel-led Marketplace opportunity | Microsoft Community Hub
