Powering career and business growth through AI-led, human-enhanced skilling experiences
Every day, it seems like there’s a new AI tool making headlines. In fact, this year alone, thousands of new AI-powered apps and platforms have launched—reshaping how we work, create, and solve problems. Instead of tech that demands more attention, we’re focused on AI that helps you make better decisions and gives you the skills to grow your career and your business. Work Change Report: AI is Coming to Work. January 2025. All this innovation makes one thing clear: evolving your skills at the pace businesses expect is essential—and really challenging. With over 3.6[1] billion people in the global workforce, organizations and individuals everywhere are grappling with the same question: How do we keep pace with AI? It’s not just a technical challenge—it’s a human one. With the steady stream of new courses, articles, and videos, finding exactly what you need—in the right format, with the right depth, and ready to share with your team—can feel overwhelming. We’ve heard from business leaders, developers, and employees alike: you want learning that’s relevant to your roles and projects, easily accessible, and short enough to fit into your busy day. That’s why we’re committed to deliver clear, role-based skilling paths and AI-led, human-enhanced skilling in a unified and accessible way—so teams can adopt AI faster and lead with confidence. Introducing AI Skills Navigator Today, at Microsoft Ignite, we’re releasing the next-generation AI Skills Navigator—an agentic learning space, bringing together AI-powered skilling experiences and credentials that help individuals build career skills and organizations worldwide accelerate their business. This is a smarter, more personalized way to build both technology skills and the uniquely human skills required to set yourself apart in an AI-dominated workplace. A single, unified experience: Build and verify your skills with AI and cloud content and credentials from Microsoft, LinkedIn Learning, and GitHub—all in one spot. Personalized recommendations: Get learning content curated just for you—based on your role, goals, and learning style, whether you prefer videos, guides, or hands-on labs. Innovative learning experiences: Immerse yourself in interactive skilling sessions—videos of human instructors, combined with real-time agentic AI coaching. Watch, engage, and understand concepts more deeply, like you would in a live classroom. Learn the way you like: Prefer to listen? Instantly convert skilling materials into AI-generated podcasts to fit learning effortlessly into your day. Custom, shareable skilling playlists: Use AI to build tailored learning paths that you can easily assign to your team or share with your friends—and track their progress—turning upskilling into a collaborative social experience. & Digital Skills, Vodafone. AI Skills Navigator is now available to everyone around the world as a public preview! For now, all features are in English, but stay tuned—we’re working quickly to add more features and languages, so you can keep growing your skills—wherever you are. Showcasing expertise in action Learning new skills is important. Proving to employers that you have them is just as critical. That’s why we’re expanding Microsoft Credentials—trusted for over 30 years—to help you verify your real-world skills in AI, cloud, and security. Whether you’re looking to stand out in your career or find the right employee to build out your team, our credentials are here to help highlight and verify great talent. Gartner Unveils Top Predictions for IT Organizations and Users in 2026 and Beyond (press release). October 21, 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Here’s how we’re evolving Microsoft Credentials: New AI credentials for business professionals, leaders, and early-career talent. More technical credentials focused on secure, scalable AI solutions. Flexible, short-form training content and skills validation for busy schedules. Unlocking human potential with strategic partnerships We know that building AI skills is a team effort. That’s why we’re partnering with leaders like LinkedIn, GitHub, and Pearson to bring you even more ways to learn and grow. Together, we’re making sure you have the resources and support you need—no matter your industry or role. LinkedIn and Microsoft are working together to set a new global standard for AI upskilling. With AI Skills Navigator, you find curated LinkedIn Learning courses that blend essential human and AI skills for every business and technical role. Whether you’re in marketing, finance, HR, operations, or IT, discover practical training that helps you stay ahead. This is just the beginning. We’ll continue to bring you more learning that helps you build professional and leadership skills. GitHub and Microsoft are making it even easier for developers to grow and shine in the AI era. By joining forces within AI Skills Navigator, we’re opening the door for over 100 million developers worldwide to build, prove, and keep expanding their AI skills. Our ongoing partnership is all about nurturing a vibrant developer community that is ready to innovate and keep pace with the fast-changing world of AI. Pearson and Microsoft are teaming up to make it easier than ever to earn and showcase your skills. Credly by Pearson enables professionals to validate their knowledge and gain recognition for their expertise through globally recognized digital credentials. With over 120 million credentials issued and rapid growth in areas like AI, Azure, and cybersecurity, this partnership will empower people to develop in-demand skills and advance their careers. This capability is coming soon. When it’s launched, all Microsoft Credentials will be published to Credly, giving learners a seamless way to earn, manage, and share their achievements. As these exciting partnerships continue to grow, we’re grateful for our Training Services Partners and their long-standing expertise in professional skilling—tailored, human-led training that helps people and organizations everywhere achieve real, impactful results. Helping build careers and businesses, one skill at a time AI combined with your ambition creates a future of tremendous opportunity for you. The hardest part is knowing where to start and direct your focus as the world moves so quickly around us. This is where we can help—whether you’re just getting started or you’re already far along the AI learning path. Together, we’re building a world where everyone can grow, evolve, and lead with confidence. The real frontier isn’t about technology—it’s about what people like you can achieve with it. And we’re here to help you get there, one skill at a time. [1] The World Bank: Labor force, total. Data source: ILO, OECD, and World Bank estimates.Exploring the Future of AI Agents with Microsoft Foundry
Why Agentic AI Matters AI agents are no longer a distant vision—they’re here and transforming how businesses operate. According to industry analysts: Over 1 billion AI agents are expected to be in use by 2028. 80% of organisations plan to integrate agents within the next 2–3 years. By 2026, 40% of enterprise apps will include task-specific AI agents. Why this surge? Agents address critical challenges such as inefficiencies in manual processes, human error, lack of visibility, and scalability issues. They enable autonomous decision-making, with projections suggesting that by 2028, half of day-to-day work decisions will be made autonomously. From Chatbots to Intelligent Agents As Mary Joe highlighted, early chatbots relied on rigid rules and regular expressions, often leading to frustrating user experiences. The introduction of large language models (LLMs) changed the game, making interactions more natural. But true autonomy, where systems act on our behalf, required more than conversational AI. Agentic AI combines: Reasoning and planning capabilities. Tools and APIs for real-world actions. Memory for learning and improving over time. This evolution moves us beyond simple input-output interactions to intelligent systems that can execute workflows, validate data, and deliver outcomes. Microsoft Foundry: Your Platform for Building Agents Microsoft Foundry offers a Platform-as-a-Service (PaaS) approach for creating AI agents, striking a balance between control and ease of use. Key components include: Model Catalogue: Access models from OpenAI, Anthropic, Mistral, and more. Foundry Agent Service: Build and customise agents with integrated tools. Foundry IQ: Knowledge grounding for accurate responses. Control Plane: Ensures safety, trust, and observability in production. Whether you need full control (Infrastructure-as-a-Service) or simplicity (Software-as-a-Service via Copilot Studio), Foundry provides flexibility for diverse scenarios. What Makes an AI Solution Agentic? Unlike traditional AI apps that perform narrow tasks (e.g., extracting text from receipts), agentic solutions: Analyse inputs using LLMs and system instructions. Integrate tools for actions like file search, code execution, or API calls. Retain memory for contextual learning. Operate autonomously across workflows. Real-World Use Cases Agentic AI unlocks new possibilities across industries: Expense Management: Automate claims and approvals. Employee Onboarding: Personalised learning paths and skills navigation. Customer Support: Intelligent assistants for FAQs and troubleshooting. Data Analytics: Interactive insights and reporting with Fabric agents. Multi-agent systems can coordinate complex tasks, with specialised agents handling subtasks under a central orchestrator. Getting Started with Microsoft Foundry Creating your first agent is simple: Sign in at https://ai.azure.com and create a Foundry project. Select a model (e.g., GPT-4.1 mini) and configure deployment options. Customise instructions to define your agent’s persona and tasks. Add tools like file search or code interpreter for extended functionality. Test and iterate using the agent playground, then export code to Visual Studio Code for deployment. For detailed guidance, explore the https://learn.microsoft.com/training. Follow the skilling plan for this series Plans | Microsoft Learn Get started with AI Agents https://aka.ms/ai-agents-fundamentals Join the Community Stay connected and keep learning: Discord: Engage with developers building agents. https://aka.ms/foundry/discord GitHub Discussions: Share ideas and troubleshoot. https://aka.ms/foundrydevs Office Hours: Get direct support from product teams. Final Thoughts Agentic AI is reshaping the way we work, enabling systems to act, learn, and collaborate. With Microsoft Foundry, developers have the tools to build secure, scalable, and intelligent agents today not tomorrow. Join the sessions at https://aka.ms/AzureSkilling-Ignite/25Don’t miss Building Agents with Microsoft Foundry and Microsoft Foundry Agent Service!
Our dynamic four-part webinar series, Agentic AI + Copilot Partner Skilling Accelerator, empowers you to harness the Microsoft AI ecosystem to unlock new revenue streams and enhance customer success. Across the four sessions, Microsoft partners can expect to learn how to apply AI tools in no-code, low-code, and pro-code scenarios to build intelligent chat and workflow solutions, extend and customize capabilities, and create advanced, custom AI functionality. Don't miss the final session in the series, Building Agents with Microsoft Foundry and Microsoft Foundry Agent Service, where you'll learn how to design and deploy intelligent agents with Microsoft Foundry and Microsoft Foundry Agent Service, including multi-agent architectures and key protocols such as A2A and MCP. The live virtual event is scheduled for December 15, 2025. Register today to reserve your spot! Be sure to follow this Partner news blog for all partner related announcements by clicking follow above!New Microsoft Certified: AI Business Professional Certification
Do you use generative AI tools, like Researcher and Analyst in Microsoft 365 Copilot, to enhance your daily work, boost productivity, guide decisions, and drive business outcomes—without writing code or developing AI applications? Are you comfortable with AI fundamentals, prompt creation, and applying AI to real-world tasks? Do you produce professional content, summarize meetings, and collaborate across teams using Microsoft 365 apps? If this is your skill set, we have a new Microsoft Certification for you. The Microsoft Certified: AI Business Professional Certification validates your expertise in these skills. To earn this Certification, you need to pass Exam AB-730: AI Business Professional, currently in beta. This new Certification shows employers that you’re an AI-ready professional who can drive better outcomes in any business role, that you’re fluent in using AI in your day-to-day projects, including how to be more productive and creative as you work across Microsoft 365 apps, and that you understand how to use Copilot and agents to analyze data and automate tasks. Is this the right Certification for you? This Certification is designed for business professionals who want to apply AI tools to real business challenges. Whether you're in marketing, operations, project management, human resources, customer service, or another field, this Certification proves that you can unlock new levels of productivity and insight. As a candidate for the Certification, you should have a basic understanding of Microsoft 365 and should be comfortable navigating core apps, such as Outlook, Word, Microsoft Teams, PowerPoint, and Excel. You also need to be familiar with common business processes, including creating presentations, generating images, and managing documents. If you use generative AI tools, such as Microsoft Copilot, to draft emails, summarize documents, create presentations, or generate creative content, like images and text, this Certification could be a great fit for you. Ready to prove your skills? Take advantage of the discounted beta exam offer. The first 300 people who take Exam AB-730 (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 AB730Smore25. 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-730 (beta): Review the Exam AB-730 (beta) exam page for details. The Exam AB-730 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. 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-730 (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.SubgenAI makes AI practical, scalable, and sustainable with Azure Database for PostgreSQL
Authors: Abe Omorogbe, Senior Program Manager at Microsoft and Julia Schröder Langhaeuser, VP of Product Serenity Star at SubgenAI AI agents are thriving in pilots and prototypes. However, scaling them across organizations is more difficult. A recent MIT report shows that 95 percent of projects fail to reach production. Long development cycles, lack of observability, and compliance hurdles leave enterprises struggling to deliver production-ready agents. SubgenAI, a European generative AI company that focuses on democratizing AI for businesses and governments, saw an opportunity to change this. Its flagship platform, Serenity Star, transforms AI agent development from a code-heavy, fragmented process into a streamlined, no-code experience. Built on Microsoft Azure Database for PostgreSQL, Semantic Kernel, and Microsoft Foundry, Serenity Star empowers organizations to deploy production-grade AI agents in minutes, not months. SubgenAI’s mission is to make generative AI accessible, scalable, and secure for every organization. Whether you're a startup or a multinational, Serenity Star offers the tools to build intelligent agents tailored to your business logic, with full control over data and deployment. “Many things must happen around it in the coming years. Serenity Star is designed to solve problems like data control, compliance, and decision ethics—so companies can unleash the full potential of generative AI without compromising trust or profitability” - Lorenzo Serratosa Simplifying complex AI agent development Technical and operational challenges are inherent in enterprise-wide AI agent deployments. Examples include time-consuming iteration cycles, lack of observability and cost control, security concerns, and data sovereignty requirements. Serenity Star addresses these pain points by handling the entire AI agent lifecycle while providing enterprise-grade security and compliance features. Users can focus on defining their agent's purpose and behavior rather than wrestling with technical implementation details. Its framework focuses on four essentials for AI agents: the brain (underlying model), knowledge (accessible information), behavior (programmed responses), and tools (external system integrations). This framework directly influenced the technology stack choices for Serenity Star, with Azure Database for PostgreSQL powering the knowledge retrieval and Semantic Kernel enabling flexible model orchestration. Real-world architecture in action When a user query comes in, Serenity Star uses the vector capabilities of Azure Database for PostgreSQL to retrieve the most relevant knowledge. That context, combined with the user’s input, forms a complete prompt. Semantic Kernel then routes the request to the right large language model, ensuring the agent delivers accurate and context-aware responses. Serenity Star’s native connectors to platforms such as Microsoft Teams, WhatsApp, and Google Tag Manager are also part of this architecture, delivering answers directly in the collaboration and communication tools enterprises already use every day. Figure 1: Serenity Star Architecture This routing and orchestration architecture applies to the multi-tenant SaaS deployments and dedicated customer instances offered by Serenity Star. Azure Database for PostgreSQL provides native Row-Level Security (RLS) capabilities, a key advantage for securely managing multi-tenant environments. Multi-tenant deployments allow organizations to get started quickly with lower overhead, while dedicated instances meet the needs of enterprises with strict compliance and data sovereignty requirements. Optimizing for scale The same architecture that powers retrieval, routing, and multi-channel delivery also provides a foundation for performance at scale. As adoption grows, the team continuously monitors query volume, response times, and resource efficiency across both multi-tenant and dedicated environments. To stay ahead of demand, SubgenAI actively experiments with new Azure Database for PostgreSQL features such as DiskANN for faster vector search. These optimizations keep latency low even as more users and connectors are added. The result is a platform that maintains sub-60-second response times for 99 percent of chart generations, regardless of deployment model or integration point. With this systematic approach to scaling, organizations can deploy fully functional AI agents that are connected to their preferred communication platforms in just 15 minutes instead of hours. For enterprises that have struggled with failed AI projects, Serenity Star offers not only a secure and compliant solution but also one proven to grow with their needs. Why Azure Database for PostgreSQL is a cornerstone The knowledge component of AI agents relies heavily on retrieval-augmented generation (RAG) systems that perform similarity searches against embedded content. This requires a database capable of handling efficient vector search while maintaining enterprise-grade reliability and security. SubgenAI evaluated multiple vector database options. However, Azure Database for PostgreSQL with PGVector emerged as the clear winner. There were several compelling reasons for this. One is its mature technology, which provides immediate credibility with enterprise customers. Two, the ability to scale GenAI use cases with features like DiskANN for accurate and scalable vector search. There, the flexibility and appeal of using an open-source database with a vibrant and fast-moving community. As CPO Leandro Harillo explains: “When we tell them their data runs on Azure Database for PostgreSQL, it’s a relief. It's a well-known technology versus other options that were born with this new AI revolution.” As an open-source relational database management system, Azure Database for PostgreSQL offers extensibility and seamless integration with Microsoft’s enterprise ecosystem. It has a trusted reputation that appeals to organizations with strict data sovereignty and compliance requirements such as those in healthcare and insurance where reliability and governance are non-negotiable. The integration with Azure's broader ecosystem also simplified implementation. With Serenity Star built entirely on Azure infrastructure, Azure Database for PostgreSQL provided seamless connectivity and consistent performance characteristics. The fast response times necessary for real-time agent interactions are the result, along with maintaining the reliability demanded by enterprise customers. Semantic Kernel: Enabling model flexibility at scale Enterprise AI success requires the ability to experiment with different models and adapt quickly as technology evolves. Semantic Kernel makes this possible, supporting over 300 LLMs and embedding models through a unified interface. With Serenity Star, organizations can make genuine choices about their AI implementations without vendor lock-in. Companies can use embedding models from OpenAI through Azure deployments, ensuring their information remains in their own infrastructure while accessing cutting-edge capabilities. If business requirements change or new models emerge, switching becomes a configuration change rather than a development project. Semantic Kernel's comprehensive connector ecosystem also accelerated SubgenAI's own development process. Interfaces for different vector databases enabled rapid prototyping and comparison during the evaluation phase. “Semantic Kernel helped us to be able to try the different ones and choose the one that fit better for us,” notes Julia Schroder, VP of Product. The SubgenAI team has also extended Semantic Kernel to support more features in Azure Database for PostgreSQL, which is easier because of how well-known and popular PostgreSQL is. SubgenAI has also contributed improvements back to the community. This collaborative approach ensures the platform benefits from the latest developments while helping advance the broader ecosystem. Proven impact of Azure Database for PostgreSQL across industries Because organizations struggle to deliver production-ready agents because of long development cycles, lack of observability, and compliance, the effectiveness of Azure Database for PostgreSQL and other Azure services is reflected in deployment metrics and customer feedback. Production-ready agents typically require around 30 iterations for basic implementations. Complex use cases demand significantly more refinement. One GenAI customer in medical education required over 200 iterations to perfect an agent that evaluates medical students through complex case analysis. Azure PostgreSQL and other Azure services support hour-long iteration cycles rather than week-long sprints, which made this level of refinement economically feasible. Cost efficiency is another significant advantage. SubgenAI provisions and configures models in Microsoft Foundry, which eliminates idling GPU resources while providing detailed cost breakdowns. Users can see exactly how tokens are consumed across prompt text, RAG context, and tool usage, enabling data-driven optimization decisions. Consulting partnerships validate the platform's market position. One consulting firm with 50,000 employees is delighted with the easier implementation, faster deployment, and reliable production performance. Conclusion The combination of Azure Database for PostgreSQL and Semantic Kernel has enabled SubgenAI to address the fundamental challenges that cause 95 percent of enterprise AI projects to fail. Organizations using Serenity Star bypass the traditional barriers of lengthy development cycles, limited observability, and compliance hurdles that typically derail AI initiatives. The platform's architecture delivers measurable results, including a 50 percent reduction in coding time, support for complex agents requiring 200+ iterations, and deployment capabilities that compress months-long projects into 15-minute implementations. Azure Database for PostgreSQL provides the enterprise-grade foundation that customers in regulated industries require, while Semantic Kernel ensures organizations retain flexibility as AI technology evolves. This technological partnership creates a reliable pathway for companies to deploy production-ready AI agents without sacrificing data sovereignty or operational control. Through the reliability of Azure Database for PostgreSQL and the flexibility of Semantic Kernel, Serenity Star delivers an enterprise-ready foundation that makes AI practical, scalable, and sustainable.Partner Case Study | Tiger Analytics
In every industry, preventing equipment downtime and maintaining operational continuity is a top priority. Preventive maintenance—making rounds, doing routine maintenance, and logging data—has long been a manual, tedious process, but with recent advances in AI, predicting and preventing failures and downtime is becoming more manageable than ever before. Tiger Analytics is a solutions integrator and Microsoft partner that implements AI-powered solutions. The organization has all three Solutions Partner designations for Azure, as well as three specializations: AI Platform on Microsoft Azure (formerly AI and Machine Learning on Microsoft Azure), Build AI Apps on Microsoft Azure, and Analytics on Microsoft Azure. They believe in using AI to transform operations for customers across industries. Their commitment to using AI to develop smart solutions empowered them to help a medical device company develop a predictive maintenance solution for their radiation therapy devices. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Close the Year Strong with Surface for Business Deals
As organizations look to maximize their remaining budget and prepare for 2026, now is the moment to modernize device fleets with Surface for Business. Through December 24, limited-time Surface promotions make it easier to accelerate refresh cycles, strengthen endpoint security, and equip employees with devices that are AI-ready from day one. Surface for Business devices combine productivity-forward design, leading AI capabilities, and Microsoft security at multiple layers. Whether refreshing a subset of users or upgrading entire departments, organizations can close the year with hardware that helps reduce risk, assists in lowering management overhead, and positions teams for the next wave of AI-driven productivity. Secure by Design Surface for Business devices deliver hardware-based protections aligned with Secured-core PC standards. Hardware-based security, advanced firmware protections, and memory-safe drivers help reduce exposure across the stack, providing peace of mind that clears the way for AI innovation. AI-Ready With advanced processors including powerful AI chips on supported models, Surface for Business devices are ready to help employees maximize their skills using AI to drive business forward. From a dedicated Copilot key 1 to Foundry on Windows for developing local agents, these devices provide the foundation for people to achieve their best. Learn more about unlocking AI innovation in our new eBook. Ready to Deploy Surface for Business devices support Windows Autopilot 2 , enabling IT teams to deploy devices directly to employees, preconfigured with corporate profiles and security baselines, without imaging or desk-side setup. Combined with centralized management through Microsoft Intune 3 , organizations can reduce deployment time and help keep endpoints consistent from day one. Make the Most of Year-End Purchasing Opportunities Maximize remaining 2025 budget by exploring end-of-year savings on select Surface for Business devices. Work with your preferred reseller to capitalize on year-end spend, or purchase directly through Microsoft Store in the US 4 to take advantage of available offers that make modernizing your device fleet easier as you prepare for 2026. Resellers can help organizations align device selection, deployment plans, and support needs while optimizing budget utilization. Businesses purchasing through Microsoft Store benefit from fast, free shipping and a 60-day return window on most physical products. 5 Across both channels, Surface for Business offers provide a cost-effective path to refresh devices now rather than deferring upgrades—helping IT leaders complete their roadmap, meet procurement targets, and deliver new value to end users before the new year. Find a reseller [https://www.microsoft.com/surface/business/where-to-buy-microsoft-surface Buy from Microsoft Store US [https://www.microsoft.com/en-us/store/collections/surface-deals-bundles] References Feature availability varies by device and market. See Key Support for details. Windows Autopilot device preparation depends on specific capabilities available in Windows client and Microsoft Entra ID. It also requires a mobile device management (MDM) service such as Microsoft Intune. These capabilities can be obtained through various editions and subscription programs. Additional licenses required, not included with Surface. Offers and promotions vary by market. Terms apply. Microsoft Store only ships to certain countries; see Shipping options, costs, and delivery times - Microsoft Support for details.How AI closes requirements gaps, and how Modern Requirements and Microsoft Marketplace can help
In this guest blog post, Asif Sharif, CEO of Modern Requirements, explores where DevOps workflows fall short and how teams can better manage requirements with Copilot4DevOps, Modern Requirements4DevOps, and Microsoft Azure DevOps.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
