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Mastering AI Skills with Microsoft: A Comprehensive Learning Guide

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该内容是 Microsoft AI 学习中心的主页,旨在为技术和业务角色提供定制化的 AI 学习资源,以支持个人和组织的 AI 技能发展。它提供了不同熟练程度的培训,涵盖了从基础概念到高级应用,如使用 Microsoft Foundry 设计智能体、管理 AI 工作负载、利用 Microsoft Copilot 提高效率,以及在 Azure 上构建和扩展 AI 工作负载等。此外,还介绍了 Microsoft 的代理生态系统、Foundry IQ、Agentic AI 系统以及针对不同角色的 AI 技能提升路径和相关凭据。
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes
  • • main points

    • 1
      提供了广泛且分层的 AI 学习资源,覆盖了从基础到高级的多个主题。
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      内容针对不同技术和业务角色进行了定制化,具有很强的实用性。
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      整合了 Microsoft 的一系列 AI 工具和服务,如 Microsoft Foundry, Copilot, Azure AI 等,展示了其生态系统的整合能力。
  • • unique insights

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      强调了 AI 代理(Agentic AI)在软件开发生命周期中的设计、部署和管理。
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      提供了针对 Azure 基础架构上 AI 工作负载的详细规划和优化指南,包括计算、存储、网络和成本控制。
  • • practical applications

    • 为个人和组织提供了清晰的 AI 学习路径和资源,帮助用户提升 AI 技能,并了解如何在 Microsoft 生态系统中构建和应用 AI 解决方案。
  • • key topics

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      AI Learning Resources
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      Microsoft AI Tools and Services
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      Azure AI Infrastructure for AI Workloads
  • • key insights

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      Comprehensive AI learning pathways tailored for diverse technical and business roles.
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      In-depth guidance on building and optimizing AI workloads on Azure infrastructure.
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      Introduction to Microsoft's evolving AI ecosystem, including Agentic AI and Foundry.
  • • learning outcomes

    • 1
      Understand the breadth of AI learning resources available through Microsoft.
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      Identify AI learning paths tailored to specific technical and business roles.
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      Gain knowledge about building and optimizing AI workloads on Azure infrastructure.
    • 4
      Explore the capabilities of Microsoft's AI agents and generative AI models.
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“ Introduction to AI Learning Resources

To foster AI proficiency, Microsoft provides specialized training programs. These programs are structured to help individuals and organizations build essential AI competencies. Key areas of focus include advanced techniques for designing and customizing intelligent agents using Microsoft Foundry, mastering AI-powered productivity tools like Microsoft 365 Copilot, and gaining expertise in managing and deploying AI workloads on Azure. The learning center emphasizes a hands-on approach, enabling users to develop practical skills applicable to real-world scenarios and drive AI innovation.

“ Foundational AI Knowledge

For those looking to implement AI solutions, Microsoft provides extensive guidance on building and scaling AI workloads on Azure. This includes leveraging the Cloud Adoption Framework and Well-Architected guidelines to select the appropriate Azure compute, storage, networking, and architectural components. Specific resources address choosing the right GPU Virtual Machines for training, fine-tuning, and inference, as well as selecting compute orchestration options like Azure Kubernetes Service (AKS). Guidance on storage solutions, network design, and cost optimization strategies is also provided to ensure efficient and effective AI deployments.

“ AI Workload Design and Optimization

Microsoft recognizes that AI impacts different roles uniquely and offers tailored learning paths to address these specific needs. Resources are categorized for various professionals, including business or technical leaders, business users, data professionals, data scientists, developers, IT professionals, low-code developers, and security professionals. Each path provides relevant skills and knowledge to help individuals lead AI initiatives, make informed decisions, and enhance their daily work through AI applications and intelligent agents. This role-based approach ensures that learning is targeted and directly applicable to individual responsibilities.

“ Exploring Microsoft's AI Ecosystem

The document introduces several pivotal Microsoft AI tools and services designed to empower users in their AI journey. Microsoft Foundry offers a comprehensive environment for AI development. The Microsoft Agent Framework provides developers with tools to build intelligent agents. Microsoft Copilot Studio allows for the creation of AI-driven copilots for website integration. Azure AI for Developers enables the development of generative AI applications on Azure using OpenAI services. These tools collectively provide a powerful set of capabilities for building, deploying, and managing AI solutions across various domains.

 Original link: https://learn.microsoft.com/zh-cn/ai/

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