Kickstart Your AI Development with the Model Context Protocol (MCP) Course
Model Context Protocol is an open standard that acts as a universal connector between AI models and the outside world. Think of MCP as “the USB-C of the AI world,” allowing AI systems to plug into APIs, databases, files, and other tools seamlessly. By adopting MCP, developers can create smarter, more useful AI applications that access up-to-date information and perform actions like a human developer would. To help developers learn this game-changing technology, Microsoft has created the “MCP for Beginners” course a free, open-source curriculum that guides you from the basics of MCP to building real-world AI integrations. Below, we’ll explore what MCP is, who this course is for, and how it empowers both beginners and intermediate developers to get started with MCP. What is MCP and Why Should Developers Care? Model Context Protocol (MCP) is a innovative framework designed to standardize interactions between AI models and client applications. In simpler terms, MCP is a communication bridge that lets your AI agent fetch live context from external sources (like APIs, documents, databases, or web services) and even take actions using tools. This means your AI apps are no longer limited to pre-trained knowledge they can dynamically retrieve data or execute commands, enabling far more powerful and context-aware behavior. Some key reasons MCP matters for developers: Seamless Integration of Tools & Data: MCP provides a unified way to connect AI to various data sources and tools, eliminating the need for ad-hoc, fragile integrations. Your AI agent can, for example, query a database or call a web API during a conversation all through a standardized protocol. Stay Up-to-Date: Because AI models can use MCP to access external information, they overcome the training data cutoff problem. They can fetch the latest facts, figures, or documents on demand, ensuring more accurate and timely responses. Industry Momentum: MCP is quickly gaining traction. Originally introduced by Microsoft and Anthropic in late 2024, it has since been adopted by major AI platforms (Replit, Sourcegraph, Hugging Face, and more) and spawned thousands of open-source connectors by early 2025. It’s an emerging standard – learning it now puts developers at the forefront of AI innovation. In short, MCP is transformative for AI development, and being proficient in it will help you build smarter AI solutions that can interact with the real world. The MCP for Beginners course is designed to make mastering this protocol accessible, with a structured learning path and hands-on examples. Introducing the MCP for Beginners Course “Model Context Protocol for Beginners” is an open-source, self-paced curriculum created by Microsoft to teach the concepts and fundamentals of MCP. Whether you’re completely new to MCP or have some experience, this course offers a comprehensive guide from the ground up. Key Features and Highlights: Structured Learning Path: The curriculum is organized as a multi-part guide (9 modules in total) that gradually builds your knowledge. It starts with the basics of MCP – What is MCP? Why does standardization matter? What are the use cases? – and then moves through core concepts, security considerations, getting started with coding, all the way to advanced topics and real-world case studies. This progression ensures you understand the “why” and “how” of MCP before tackling complex scenarios. Hands-On Coding Examples: This isn’t just theory – practical coding examples are a cornerstone of the course. You’ll find live code samples and mini-projects in multiple languages (C#, Java, JavaScript/TypeScript, and Python) for each concept. For instance, you’ll build a simple MCP-powered Calculator application as a project, exploring how to implement MCP clients and servers in your preferred language. By coding along, you cement your understanding and see MCP in action. Real-World Use Cases: The curriculum illustrates how MCP applies to real scenarios. It discusses practical use cases of MCP in AI pipelines (e.g. an AI agent pulling in documentation or database info on the fly) and includes case studies of early adopters. These examples help you connect what you learn to actual applications and solutions you might develop in your job. Broad Language Support: A unique aspect of this course is its multi-language approach – both in terms of programming and human languages. The content provides code implementations in several popular programming languages (so you can learn MCP in the context of C#, Java, Python, JavaScript, or TypeScript, as you prefer). In addition, the learning materials themselves are available in multiple human languages (English, plus translations like French, Spanish, German, Chinese, Japanese, Korean, Polish, etc.) to support learners worldwide. This inclusivity ensures that more developers can comfortably engage with the material. Up-to-Date and Open-Source: Being hosted on GitHub under MIT License, the curriculum is completely free to use and open for contributions. It’s maintained with the latest updates for example, automated workflows keep translations in sync so all language versions stay current. As MCP evolves, the course content can evolve with it. You can even join the community to suggest improvements or add content, making this a living learning resource. Official Resources & Community Support: The course links to official MCP documentation and specs for deeper reference, and it encourages learners to join thehttps;//aka.ms/ai/discord to discuss and get help. You won’t be learning alone; you can network with experts and peers, ask questions, and share progress. Microsoft’s open-source approach means you’re part of a community of practitioners from day one. Course Outline: (Modules at a Glance) Introduction to MCP: Overview of MCP, why standardization matters in AI, and the key benefits and use cases of using MCP. (Start here to understand the big picture.) Core Concepts: Deep dive into MCP’s architecture – understanding the client-server model, how requests and responses work, and the message schema. Learn the fundamental components that make up the protocol. Security in MCP: Identify potential security threats when building MCP-based systems and learn best practices to secure your AI integrations. Important for anyone planning to deploy MCP in production environments. Getting Started (Hands-On): Set up your environment and create your first MCP server and client. This module walks through basic implementation steps and shows how to integrate MCP with existing applications, so you get a service up and running that an AI agent can communicate with. MCP Calculator Project: A guided project where you build a simple MCP-powered application (a calculator) in the language of your choice. This hands-on exercise reinforces the concepts by implementing a real tool – you’ll see how an AI agent can use MCP to perform calculations via an external tool. Practical Implementation: Tips and techniques for using MCP SDKs across different languages. Covers debugging, testing, validation of MCP integrations, and how to design effective prompt workflows that leverage MCP’s capabilities. Advanced Topics: Going beyond the basics – explore multi-modal AI workflows (using MCP to handle not just text but other data types), scalability and performance tuning for MCP servers, and how MCP fits into larger enterprise architectures. This is where intermediate users can really deepen their expertise. Community Contributions: Learn how to contribute to the MCP ecosystem and the curriculum itself. This section shows you how to collaborate via GitHub, follow the project’s guidelines, and even extend the protocol with your own ideas. It underlines that MCP is a growing, community-driven standard. Insights from Early Adoption: Hear lessons learned from real-world MCP implementations. What challenges did early adopters face? What patterns and solutions worked best? Understanding these will prepare you to avoid pitfalls in your own projects. Best Practices and Case Studies: A roundup of do’s and don’ts when using MCP. This includes performance optimization techniques, designing fault-tolerant systems, and testing strategies. Plus, detailed case studies that walk through actual MCP solution architectures with diagrams and integration tips bringing everything you learned together in concrete examples. Who Should Take This Course? The MCP for Beginners course is geared towards developers if you build or work on AI-driven applications, this course is for you. The content specifically welcomes: Beginners in AI Integration: You might be a developer who's comfortable with languages like Python, C#, or Java but new to AI/LLMs or to MCP itself. This course will take you from zero knowledge of MCP to a level where you can build and deploy your own MCP-enabled services. You do not need prior experience with MCP or machine learning pipelines the introduction module will bring you up to speed on key concepts. (Basic programming skills and understanding of client-server or API concepts are the only prerequisites.) Intermediate Developers & AI Practitioners: If you have some experience building bots or AI features and want to enhance them with real-time data access, you’ll benefit greatly. The course’s later modules on advanced topics, security, and best practices are especially valuable for those looking to integrate MCP into existing projects or optimize their approach. Even if you've dabbled in MCP or a similar concept before, this curriculum will fill gaps in knowledge and provide structured insights that are hard to get from scattered documentation. AI Enthusiasts & Architects: Perhaps you’re an AI architect or tech lead exploring new frameworks for intelligent agents. This course serves as a comprehensive resource to evaluate MCP for your architecture. By walking through it, you’ll understand how MCP can fit into enterprise systems, what benefits it brings, and how to implement it in a maintainable way. It’s perfect for getting a broad yet detailed view of MCP’s capabilities before adopting it within a team. In essence, anyone interested in making AI applications more connected and powerful will find value here. From a solo hackathon coder to a professional solution architect, the material scales to your need. The course starts with fundamentals in an easy-to-grasp manner and then deepens into complex topics appealing to a wide range of skill levels. Prerequisites: The official prerequisites for the course are minimal: you should have basic knowledge of at least one programming language (C#, Java, or Python is recommended) and a general understanding of how client-server applications or APIs work. Familiarity with machine learning concepts is optional but can help. In short, if you can write simple programs and understand making API calls, you have everything you need to start learning MCP. Conclusion: Empower Your AI Projects with MCP The Model Context Protocol for Beginners course is more than just a tutorial – it’s a comprehensive journey that empowers you to build the next generation of AI applications. By demystifying MCP and equipping you with hands-on experience, this curriculum turns a seemingly complex concept into practical skills you can apply immediately. With MCP, you unlock capabilities like giving your AI agents real-time information access and the ability to use tools autonomously. That means as a developer, you can create solutions that are significantly more intelligent and useful. A chatbot that can search documents, a coding assistant that can consult APIs or run code, an AI service that seamlessly integrates with your database – all these become achievable when you know MCP. And thanks to this beginners-friendly course, you’ll be able to implement such features with confidence. Whether you are starting out in the AI development world or looking to sharpen your cutting-edge skills, the MCP for Beginners course has something for you. It condenses best practices, real-world lessons, and robust techniques into an accessible format. Learning MCP now will put you ahead of the curve, as this protocol rapidly becomes a cornerstone of AI integrations across the industry. So, are you ready to level up your AI development skills? Dive into the https://aka.ms/mcp-for-beginnerscourse and start building AI agents that can truly interact with the world around them. With the knowledge and experience gained, you’ll be prepared to create smarter, context-aware applications and be a part of the community driving AI innovation forward.Drive demand for your offers with solution area campaigns in a box.
Take your marketing campaigns further with campaigns in a box (CiaBs), collections of partner-ready, high-quality marketing assets designed to deepen customer engagement, simplify your marketing efforts, and grow revenue. Microsoft offers both new and refreshed campaigns for the following solution areas: Data & AI (Azure), Modern Work, Business Applications, Digital & App Innovation (Azure), Infrastructure (Azure), and Security. Check out the latest CiaBs below and get started today by visiting the Partner Marketing Center, where you’ll find resources such as step-by-step execution guides, customizable nurture tactics, and assets including presentations, e-books, infographics, and more. AI transformation Generate interest in AI adoption among your customers. As AI technology grabs headlines and captures imaginations, use this campaign to illustrate your audience’s unique opportunity to harness the power of AI to deliver value faster. Learn more about the campaign: AI Transformation (formerly Era of AI): Show audiences how to take advantage of the potential of AI to drive business value and showcase the usefulness of Microsoft AI solutions delivered and tailored by your organization. Data & AI (Azure) Our Data & AI campaigns demonstrate how your customers can win customers with AI-enabled differentiation. Show how they can transform their businesses with generative AI, a unified data estate, and solutions like Microsoft Fabric, Microsoft Power BI, and Azure Databricks. Campaigns include: Unify your intelligent data - Banking: Help your banking customers understand how you can help them break down data silos, meet compliance demands, and deliver on rising customer expectations. Innovate with the Azure AI platform: Help your customers understand the potential of generative AI solutions to differentiate themselves in the market—and inspire them to build GenAI solutions with the Azure AI platform. Unify your intelligent data and analytics platform - ENT: Show enterprise audiences how unifying data and analytics on an open foundation can help streamline data transformation and business intelligence. Unify your intelligent data and analytics platform - SMB: Create awareness and urgency for SMBs to adopt Microsoft Fabric as the AI-powered, unified data platform that will suit their analytics needs. Modern Work Our Modern Work campaigns help current and potential customers understand how they can effectively transform their businesses with AI capabilities. Campaigns include: Connect and empower your frontline workers: Empower your customers' frontline workers with smart, AI-enhanced workflows with solutions based on Microsoft Teams and Microsoft 365 Copilot. Use this campaign to show your customers how they can make their frontline workers feel more connected, leading to improved productivity and efficiency. Microsoft 365 Copilot SMB: Increase your audience's understanding of the larger potential of Microsoft 365 Copilot and how AI capabilities can accelerate growth and transform operations. Smart workplace with Teams: Use this campaign to show your customers how to use AI to unlock smarter communication and collaboration with Microsoft Teams and Microsoft 365 Copilot. This campaign demonstrates to customers how you can help them seamlessly integrate meetings, calls, chat, and collaboration to break down silos, gain deeper insights, and focus on the work that matters. Cloud endpoints: Help customers bring virtualized applications to the cloud by providing secure AI-powered productivity and development on any device with Microsoft Intune Suite and Windows in the cloud solutions. Business Applications Nurture interest with audiences ready to modernize and transform their business operations with these BizApps go-to-market resources. Campaigns include: AI-powered customer service: Highlight how AI-powered solutions like Microsoft Dynamics 365 are transforming customer service with more personalized experiences, smarter teamwork, and improved efficiency. Migrate and modernize your ERP with Microsoft Dynamics 365: Position yourself as the right partner to modernize or replace your customers' legacy on-premises ERP systems with a Copilot-powered ERP. Business Central for SMB: Offer customers Microsoft Dynamics 365, a comprehensive business management solution that connects finance, sales, service, and operations teams with a single application to boost productivity and improve decision-making. AI-powered CRM: Help your customers enhance their customer experiences and close more deals with Microsoft 365 Dynamics Sales by making data AI-ready, which empowers them to create effective marketing content with Microsoft 365 Copilot and pass qualified leads on to sales teams. Use this campaign to show audiences how Copilot and AI can supercharge their CRM to increase productivity and efficiency, ultimately leading to better customer outcomes. Modernize at scale with AI and Microsoft Power Platform: This campaign is designed to introduce the business values unlocked with Microsoft Power Platform, show how low-code solutions can accelerate development and drive productivity, and position your company as a valuable asset in the deployment of these solutions. Digital & App Innovation (Azure) Position yourself as the strategic AI partner of choice and empower your customers to grow their businesses by helping them gain agility and build new AI applications faster with intelligent experiences. Campaigns include: Build and modernize AI apps: Help customers building new AI-infused applications and modernizing their application estate take advantage of the Azure AI application platform. Accelerate developer productivity: Help customers reimagine the developer experience with the world’s most-adopted AI-powered platform. Use this campaign to show customers how you can use Microsoft and GitHub tools to help streamline workflows, collaborate better, and deliver intelligent apps faster. Infrastructure (Azure) Help customers tap into the cloud to expand capabilities and boost their return on investment by transforming their digital operations. Campaigns include: Modernize VDI to Azure Virtual Desktop - SMB: Show SMB customers how they can meet the challenges of virtual work with Azure Virtual Desktop and gain flexibility, reliability, and cost-effectiveness. Migrate VMware workloads to Azure: Help customers capitalize on the partnership between VMware and Microsoft so they can migrate VMware workloads to Azure in an efficient and cost-effective manner. Migrate and secure Windows Server and SQL Server and Linux - ENT: Showcase the high return on investment (ROI) of using an adaptive cloud purpose-built for AI workloads, and help customers understand the value of migrating to Azure at their own pace. Modernize SAP on the Microsoft Cloud: Reach SAP customers before the 2027 end-of-support deadline for SAP S/4HANA to show them the importance of having a plan to migrate to the cloud. This campaign also underscores the value of moving to Microsoft Azure in the era of AI. Migrate and secure Windows Server and SQL Server and Linux estate - SMB: Use this campaign to increase understanding of the value gained by migrating from an on-premises environment to a hybrid or cloud environment. Show small and medium-sized businesses that they can grow their business, save money, improve security, and more when they move their workload from Windows Server, SQL Server, and Linux to Microsoft Azure. Security Demonstrate the power of modern security solutions and help customers understand the importance of robust cybersecurity in today’s landscape. Campaigns include: Defend against cybersecurity threats: Increase your audience's understanding of the powerful, AI-driven Microsoft unified security platform, which integrates Microsoft Sentinel, Microsoft Defender XDR, Security Exposure Management, Security Copilot, and Microsoft Threat Intelligence. Data security: Show customers how Microsoft Purview can help fortify data security in a world facing increasing cybersecurity threats. Modernize security operations: Use this campaign to sell Microsoft Sentinel, an industry-leading cloud-native SIEM that can help your customers stay protected and scale their security operations. **Stay up to date on all Skilling announcements by subscribing to the skilling tag!**Keep pace with the latest in AI!
Check out our fresh new video series, where leaders from Microsoft show their creative side as they share the latest updates in AI, in a manner that's both educative and fun! Watch the videos, share them with your teams, and bookmark aka.ms/AIOnTheGo to stay updated!Build expertise, earn recognition, and drive transformation with Microsoft skilling
At Microsoft, we know that every innovation journey starts with the right skills. Our goal is to make your skilling experience streamlined and effective, so you spend less time searching for resources and more time innovating. We have designed the Partner Skilling Hub as a central portal where you can build new capabilities, accelerate organizational growth, and learn how to set your solutions apart and create meaningful customer outcomes. With advanced search and filters by category, solution area, and skill level, you can quickly find live events, self-paced courses, and training opportunities tailored to your needs. Below are just some of the skilling resources available to you through this new portal so you can spend less time searching and more time innovating. Continue reading hereJoin the Movement at Azure Dev Summit!
Azure Dev Summit is a chance for you to join a community of developers, architects, and tech leaders building with Azure, .NET, and Microsoft AI. This isn’t just another conference. It is a Microsoft-sponsored celebration of innovation, learning, and connection — and we’re bringing some of the most inspiring voices in tech to the stage. Find out more about the speakers at Azure Dev Summit and make sure to register! https://azuredevsummit.com/Partner Blog | Limitless learning, one location: The Microsoft Partner Skilling Hub is here
This month, we kicked off our new fiscal year. On July 15, Microsoft hosted MCAPS Start for Partners, during which we unveiled our strategic priorities, key investments, enhancements to the Microsoft AI Cloud Partner Program, and new opportunities to scale your business. One of these opportunities, our new Microsoft Partner Skilling Hub, is available now in preview. The Skilling Hub is a unified platform that brings together all GPS partner skilling resources—Microsoft Titan Skilling Academy, LevelUp, GPS Skilling Hub, SureStep, AI Partner Training Days, and regional events—into one seamless experience. First announced in our June blog post, this streamlined platform is your new home base for training, certification prep, and continuous growth. One of the most exciting opportunities in the Skilling Hub is Microsoft Titan Skilling Academy. This centralized, global learning portal is designed to help partner sales professionals boost their skills and close more deals through structured, role-based training. Launched on June 1, 2025, its first module, “Sales Titan: Threat Protection,” focuses on Microsoft 365 E5 Security and offers on-demand training, certifications, and resources to support confident customer conversations. Built for you, shaped by your feedback The Skilling Hub isn’t just a new portal—it’s a partner-driven experience. As a partner-centered organization, we listened carefully to your feedback and shaped the platform around the capabilities and features that matter most to you. You gave us valuable insights about what would be most useful, including: A single access point for role-based learning. Easy-to-follow guidance that supports specialization and certification acquisition. A simplified interface for purposeful learning journeys. We plan to deliver all this and more. Continue reading hereMulti-Agent Systems and MCP Tools Integration with Azure AI Foundry
The Power of Connected Agents: Building Multi-Agent Systems Imagine trying to build an AI system that can handle complex workflows like managing support tickets, analyzing data from multiple sources, or providing comprehensive recommendations. Sounds challenging, right? That's where multi-agent systems come in! The Develop a multi-agent solution with Azure AI Foundry Agent Services module introduces you to the concept of connected agents a game changing approach that allows you to break down complex tasks into specialized roles handled by different AI agents. Why Connected Agents Matter As a student developer, you might wonder why you'd need multiple agents when a single agent can handle many tasks. Here's why this approach is transformative: 1. Simplified Complexity: Instead of building one massive agent that does everything (and becomes difficult to maintain), you can create smaller, specialized agents with clearly defined responsibilities. 2. No Custom Orchestration Required: The main agent naturally delegates tasks using natural language - no need to write complex routing logic or orchestration code. 3. Better Reliability and Debugging: When something goes wrong, it's much easier to identify which specific agent is causing issues rather than debugging a monolithic system. 4. Flexibility and Extensibility: Need to add a new capability? Just create a new connected agent without modifying your main agent or other parts of the system. How Multi-Agent Systems Work The architecture is surprisingly straightforward: 1. A main agent acts as the orchestrator, interpreting user requests and delegating tasks 2. Connected sub-agents perform specialized functions like data retrieval, analysis, or summarization 3. Results flow back to the main agent, which compiles the final response For example, imagine building a ticket triage system. When a new support ticket arrives, your main agent might: - Delegate to a classifier agent to determine the ticket type - Send the ticket to a priority-setting agent to determine urgency - Use a team-assignment agent to route it to the right department All this happens seamlessly without you having to write custom routing logic! Setting Up a Multi-Agent Solution The module walks you through the entire process: 1. Initializing the agents client 2. Creating connected agents with specialized roles 3. Registering them as tools for the main agent 4. Building the main agent that orchestrates the workflow 5. Running the complete system Taking It Further: Integrating MCP Tools with Azure AI Agents Once you've mastered multi-agent systems, the next level is connecting your agents to external tools and services. The Integrate MCP Tools with Azure AI Agents module teaches you how to use the Model Context Protocol (MCP) to give your agents access to a dynamic catalog of tools. What is Dynamic Tool Discovery? Traditionally, adding new tools to an AI agent meant hardcoding each one directly into your agent's code. But what if tools change frequently, or if different teams manage different tools? This approach quickly becomes unmanageable. Dynamic tool discovery through MCP solves this problem by: 1. Centralizing Tool Management: Tools are defined and managed in a central MCP server 2. Enabling Runtime Discovery: Agents discover available tools during runtime through the MCP client 3. Supporting Automatic Updates: When tools are updated on the server, agents automatically get the latest versions The MCP Server-Client Architecture The architecture involves two key components: 1. MCP Server: Acts as a registry for tools, hosting tool definitions decorated with `@mcp.tool`. Tools are exposed over HTTP when requested. 2. MCP Client: Acts as a bridge between your MCP server and Azure AI Agent. It discovers available tools, generates Python function stubs to wrap them, and registers those functions with your agent. This separation of concerns makes your AI solution more maintainable and adaptable to change. Setting Up MCP Integration The module guides you through the complete process: 1. Setting up an MCP server with tool definitions 2. Creating an MCP client to connect to the server 3. Dynamically discovering available tools 4. Wrapping tools in async functions for agent use 5. Registering the tools with your Azure AI agent Once set up, your agent can use any tool in the MCP catalog as if it were a native function, without any hardcoding required! Practical Applications for Student Developers As a student developer, how might you apply these concepts in real projects? Classroom Projects: - Build a research assistant that delegates to specialized agents for different academic subjects - Create a coding tutor that uses different agents for explaining concepts, debugging code, and suggesting improvements Hackathons: - Develop a sustainability app that uses connected agents to analyze environmental data from different sources - Create a personal finance advisor with specialized agents for budgeting, investment analysis, and financial planning Personal Portfolio Projects: - Build a content creation assistant with specialized agents for brainstorming, drafting, editing, and SEO optimization - Develop a health and wellness app that uses MCP tools to connect to fitness APIs, nutrition databases, and sleep tracking services Getting Started Ready to dive in? Both modules include hands-on exercises where you'll build real working examples: - A ticket triage system using connected agents - An inventory management assistant that integrates with MCP tools The prerequisites are straightforward: - Experience with deploying generative AI models in Azure AI Foundry - Programming experience with Python or C# Conclusion Multi-agent systems and MCP tools integration represent the next evolution in AI application development. By mastering these concepts, you'll be able to build more sophisticated, maintainable, and extensible AI solutions - skills that will make you stand out in internship applications and job interviews. The best part? These modules are designed with practical, hands-on learning in mind - perfect for student developers who learn by doing. So why not give them a try? Your future AI applications (and your resume) will thank you for it! Want to learn more about Model Context Protocol 'MCP' see MCP for Beginners Happy coding!Partner Blog | Skilling for impact: A new era of learning for Microsoft Partners
As we begin a new fiscal year, the energy across the Microsoft partner ecosystem is palpable. With MCAPS Start for Partners just a week away on July 15, we’re entering a season of strategic alignment, innovation, and investment. This digital-first experience will deliver essential readiness content, celebrate our global community, and preview what’s ahead across co-sell, marketplace, incentives—and skilling. Learn more and register. Skilling as a strategic growth lever In today’s AI-powered economy, skilling is no longer a support function—it’s a growth engine. The ability to rapidly build expertise, adapt to new technologies, and deliver customer value is what sets high-performing partners apart. That’s why Microsoft is doubling down on skilling as a core investment area for FY26. We’re simplifying and streamlining how you access learning, build capabilities, and drive results. In the coming months, we’ll be launching a unified skilling platform—a single destination that brings together the full spectrum of Microsoft partner skilling into one seamless, purpose-built experience. Skilling across the partner journey Our skilling strategy is designed to meet partners where they are and elevate them across every stage of the customer lifecycle. We are enabling partners to become Certification Ready with foundational solution area knowledge that supports designation and specialization growth through Microsoft Learn, certifications, and Applied Skills. Microsoft Partner Skilling Hub Continue reading here
