Certifications refresh: AI-focused and fundamentals updates
As the age of AI reshapes the business landscape, organizations are embedding AI into every layer of their operations. Professionals, students, entrepreneurs, and others are learning to not only implement business solutions but also to design and integrate AI-powered apps and experiences, orchestrate autonomous agents, and govern ethical AI systems. To support these skill-building needs for learners in all career stages, Microsoft Learn is refreshing our Certification and training offerings with a focus on AI, Microsoft 365, Copilot, and agents. We’re also retiring some Fundamentals Certifications. New AI-focused Certifications and training opportunities Our upcoming Certifications provide today’s innovators with opportunities to thrive in an agent-first, AI-powered tomorrow. Watch for more details on these Certifications in the coming months. A new Fundamentals Certification to validate foundational AI skills and equip learners to confidently navigate and manage core Microsoft 365 services—including Copilot and agents—while building their understanding of identity, security, and compliance essentials in Microsoft Entra and Microsoft Purview. An expert Certification to validate AI-first expertise, including advanced skills in generative AI, multi-agent orchestration, and agentic design by using Microsoft Copilot Studio, Azure AI services, and Dynamics 365. We’re also introducing a series of beginner-level training courses over the next few months designed to help learners in functional roles understand how Copilot, agents, and AI embedded in business systems like Dynamics 365 can streamline their day-to-day work. These AI-focused courses will be released for sales, service, finance, and supply chain roles. Retirement of select Fundamentals Certifications We’re retiring the following Certifications: December 31, 2025 The Microsoft Certified: Dynamics 365 Fundamentals (CRM) Certification (Exam MB-910: Microsoft Dynamics 365 Fundamentals (CRM)). The Microsoft Certified: Dynamics 365 Fundamentals (ERP) Certification (Exam MB-920: Microsoft Dynamics 365 Fundamentals (ERP)). March 31st, 2026 The Microsoft 365 Certified: Fundamentals Certification (Exam MS-900: Microsoft 365 Fundamentals). The following questions and answers can help you determine how these retirements could impact your learning journey: Q. What if I’m studying for Exam MS-900, Exam MB-910, or Exam MB-920? A. If you’re currently preparing for Exam MB-910, or Exam MB-920, we strongly recommend that you take the exam before December 31, 2025, or March 31 st , 2026 in case of Exam MS-900. You won’t be able to take these exams after this date. Q. I’ve already earned one of these Certifications. What happens now? A. If you’ve already earned the Microsoft 365 Certified: Fundamentals, Microsoft Certified: Dynamics 365 Fundamentals (CRM), or Microsoft Certified: Dynamics 365 Fundamentals (ERP) Certification, it will stay on the transcript in your profile on Microsoft Learn. (Note: Fundamentals Certifications don’t expire.) Q. How do these Certification retirements affect partners? A. Microsoft Certified: Dynamics 365 Fundamentals (CRM) (Exam MB-910: Microsoft Dynamics 365 Fundamentals (CRM)), and Microsoft Certified: Dynamics 365 Fundamentals (ERP) (Exam MB-920: Microsoft Dynamics 365 Fundamentals (ERP)) are not included in the requirements for the Microsoft AI Cloud Partner Program's (MAICPP’s) designations and specializations. Stay future-ready AI is changing the game, and so can you. Stay tuned for upcoming announcements on these new Microsoft Certification offerings to help you do just that. In the meantime, be sure to browse all Microsoft Credentials.Why I’m telling my team to stop asking permission and start building
Learn all about vibe coding, no experience required, and get inspired by real-world success. Alfredo Ramirez is Vice President of Revenue Strategy at Microsoft, where his team runs sales planning, performance management, and commercial transformation across the Microsoft global sales organization. Many of the most impactful tools my team uses today weren’t built by engineers. They were instead built by operations leads, program managers, planning analysts, and business process owners, people who had never written a line of code in their lives. And they built these tools in hours, not months. What is vibe coding, and why should leaders care? I’ve sponsored projects where, by the time we saw the first working version, we’d realized that the original ask should have been different. Requirements evolve, tradeoffs are real, and building reliable software takes thoughtful iteration. The challenges were always the same: feedback loops were slow, and the cost of change was high. Vibe coding collapses that cycle. You describe, in plain language, what you want to build, and the AI generates working software. But I want to be clear about what this means. It’s not magic, and it’s not Describe it once, and the AI builds it. Vibe coding requires structured thinking: that is, framing the problem clearly, knowing what good looks like, and iterating not just the output but also the approach when it’s broken. The process is closer to negotiation than dictation. What you don’t need is a programming background. We’ve been told that tools like GitHub Copilot are for developers, that business users won’t learn interfaces like Visual Studio Code, that this world belongs to engineers. I’ve found the opposite. What you actually need is deep knowledge of your domain: your problem, your data, your business rules, and what a useful solution looks like to you. Your team already has what vibe coding runs on: domain expertise, institutional knowledge, judgment about what matters. The work is the thinking. AI handles the implementation. How I got here I’m a former engineer who spent years with my hands on a keyboard before moving into strategy and leadership at Microsoft. When new AI capabilities emerged, I didn’t just read about them; I started experimenting with tiny helper tools, built using GitHub Copilot. Then I hit a real business problem and decided to see what vibe coding could do at scale. The result wasn’t just a working solution, it was a realization: the bottleneck had always been access to the tools, not technical skills. So I stopped experimenting alone. I ran live demos in my team meetings, showing people their own data, their own processes, and their own pain points being solved in real time with GitHub Copilot and VS Code. The conversation went from What is AI, and how do we do this? to What should we build next? People stopped asking for tools and started building them. What my team built A non-developer trimmed incident response time from an hour to minutes. This colleague who manages support escalations was spending an hour or more, per incident, manually navigating databases, reading case details, and drafting executive summaries. He’d never written code. He vibe coded a Python script that queries our data systems, formats results into a structured prompt, and returns ready-to-send executive summaries. When the AI suggested a heavyweight Azure deployment, he pushed back and asked, Is there another way? and got three simpler alternatives. Every incident now gets the same rigorous analysis, regardless of who processes it. The barrier wasn’t technical difficulty; it was the perception that it would be technically difficult. One team delivered significant results in a fraction of the usual time. Two members of our partner experience team, both first-time VS Code users, vibe coded a full interactive prototype for a co-sell experience between Microsoft sellers and partner sellers. They fed in requirement docs, meeting transcripts, partner feedback, and design principles. GitHub Copilot synthesized it all into a coherent spec and interactive HTML demo. When stakeholders saw it, they could react to real artifacts instead of printed concepts. One senior leader said it plainly, “You did more in 10 days than we’ve been able to do in 10 months.” The prototype has since been handed to engineering for production build-out. The people closest to the problem could finally show, not just tell. A team member adapted the tools to her brain and then used that adaptation to build for everyone else. One colleague had never written code. When she started using VS Code and GitHub Copilot, she shaped the tool to match how her brain works: how she takes in information, how she stays focused and moves through complexity. It became an extension of her thinking, rather than something she had to contort herself to use. This made what came next possible. She noticed that leaders had no good way to prepare for high-stakes review meetings: the metrics kept changing, definitions were scattered, context was buried. And no one had filed a ticket for this. She fed her existing prep materials into VS Code and built an interactive hub that organizes metrics by how leaders think when preparing for reviews. The hub reduces noise, surfaces what matters, and links directly to source reports. The design choices she made for herself (clarity, structure, reduced cognitive load) turned out to be exactly what leaders needed. That’s what happens when the person building the tool is also the person who understands the problem. What I’ve learned watching this unfold These aren’t experiments. They’re real business processes running in production, saving measurable hours. And they’re built by people whose job titles say nothing about software development. When I introduced this across our organization, I heard the same concerns that many leaders hear: Will AI take my job? What I’ve seen is the opposite. People feel ownership over their work in a way they didn’t before, because they’re solving problems they’ve been working around for years. AI didn’t replace them; it gave them the means to finally act on the expertise they’ve always had. Every one of my team members who built something useful also failed multiple times along the way. They hit loops where the AI got stuck. They got suggestions that were too complex. They learned to ask: Is there a simpler way to do this? and Let’s reset and try again. Make it safe to try. This doesn’t require additional budget, new initiatives, or engineering capacity. The people who know the work best can start building today. Show your team what’s possible with their own data, their own problems, in real time. Leaders are much more likely to engage when they see transformation happening than they are when reading about it on a slide. If you still believe that these tools are only for engineers, you could be leaving some of your best problem-solvers on the sidelines. Give your people the tools and permission, and then get out of the way. Learn how to get started with vibe coding on AI Skills Navigator.
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!Microsoft Applied Skills: Upcoming retirements
As part of our ongoing efforts to ensure our credentials portfolio remains current and aligned with the latest product updates and trends. We will be retiring the following Microsoft Applied Skills credentials: Microsoft Applied Skills: Develop generative AI apps with Azure OpenAI and Semantic Kernel: retiring on April 15 Microsoft Applied Skills: Extend Microsoft 365 Copilot with declarative agents by using Visual Studio Code: retiring on April 15 Microsoft Applied Skills: Build a natural language processing solution with Azure AI Language: retiring on June 30 Microsoft Applied Skills: Create and manage model-driven apps with Power Apps and Dataverse: retiring on June 30 Explore other Applied Skills at AI Skills Navigator | Credentials to keep building your skills.
