[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-claude-partner-network-learning-path-launches-zh":3,"article-related-claude-partner-network-learning-path-launches-zh":30,"series-tools-0342ff17-feea-4e43-81ff-d12c43cc93c0":82},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"0342ff17-feea-4e43-81ff-d12c43cc93c0","claude-partner-network-learning-path-launches-zh","Claude 合作夥伴課程上線","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 推出 Claude Partner Network Learning Path，提供 \u003Ca href=\"\u002Ftag\u002Fskills\">Skills\u003C\u002Fa>、Claude API、MCP 與 \u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa> 四門入門課，作為\u003Ca href=\"\u002Fnews\u002Fwolters-kluwer-deepens-openai-deal-stock-slips-zh\">合作\u003C\u002Fa>夥伴訓練入口。\u003C\u002Fp>\u003Cp>Anthropic 在 \u003Ca href=\"https:\u002F\u002Fanthropic.skilljar.com\u002Fpage\u002Fclaude-partner-network-learning-path\" target=\"_blank\" rel=\"noopener\">Claude Partner Network Learning Path\u003C\u002Fa> 上線後，把合作夥伴培訓整理成一條可追蹤的課程路徑。這套內容放在 Academy 的 Skilljar 頁面，目標是讓\u003Ca href=\"\u002Fnews\u002F5-cuda-13-3-updates-for-gpu-developers-zh\">開發\u003C\u002Fa>者先學會怎麼用 Claude，再談認證與合作。\u003C\u002Fp>\u003Cp>頁面\u003Ca href=\"\u002Fnews\u002Fwhat-we-know-about-gpt-56-release-date-zh\">目前\u003C\u002Fa>列出 4 門核心課，涵蓋 agent skills、API、\u003Ca href=\"\u002Ftag\u002Fmodel-context-protocol\">Model Context Protocol\u003C\u002Fa> 與 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Code。對想把 Claude 接進產品、工作流或外部整合的團隊來說，這等於多了一個官方起點。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Learning path name\u003C\u002Ftd>\u003Ctd>Claude Partner Network Learning Path\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Core courses\u003C\u002Ftd>\u003Ctd>4\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Platform\u003C\u002Ftd>\u003Ctd>Skilljar\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Privacy contact\u003C\u002Ftd>\u003Ctd>academy-support@anthropic.com\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Year shown on page\u003C\u002Ftd>\u003Ctd>2025 \u002F 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>這條學習路徑把原本分散的主題收進同一個入口。四門課分別是 \u003Ca href=\"https:\u002F\u002Fanthropic.skilljar.com\u002Fpage\u002Fclaude-partner-network-learning-path\" target=\"_blank\" rel=\"noopener\">Introduction to agent skills\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fanthropic.skilljar.com\u002Fpage\u002Fclaude-partner-network-learning-path\" target=\"_blank\" rel=\"noopener\">Building with the Claude API\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fanthropic.skilljar.com\u002Fpage\u002Fclaude-partner-network-learning-path\" target=\"_blank\" rel=\"noopener\">Introduction to Model Context Protocol\u003C\u002Fa>，以及 \u003Ca href=\"https:\u002F\u002Fanthropic.skilljar.com\u002Fpage\u002Fclaude-partner-network-learning-path\" target=\"_blank\" rel=\"noopener\">Claude Code in Action\u003C\u002Fa>。Anthropic 的說法很直接，這是合作夥伴進入認證前的基礎課。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780578178111-1za9.png\" alt=\"Claude 合作夥伴課程上線\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>每門課對應的技術面向也很清楚。Skills 課教的是可重用的 markdown 指令，API 課處理模型呼叫，MCP 課講如何用 Python 建 server 和 client，Claude Code 課則聚焦把助理放進日常開發流程。這種拆法，比起單一長課更像是模組化 onboarding。\u003C\u002Fp>\u003Cp>頁面上的導流設計也很明確。學員只要有 Skilljar 帳號就能開始學，Claude AI 服務本身仍需另外註冊 Anthropic 帳號。換句話說，Anthropic 把訓練、產品使用和後續認證分開處理，方便追蹤進度，也方便管理權限。\u003C\u002Fp>\u003Cul>\u003Cli>Skills：建立、設定、分享與排除可重用指令\u003C\u002Fli>\u003Cli>API：透過 Claude API 使用 Anthropic 模型\u003C\u002Fli>\u003Cli>MCP：用 Python 建立 server、client、tools、resources 與 prompts\u003C\u002Fli>\u003Cli>Claude Code：把助理接進日常開發工作流\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，這不是單純多了一頁課程清單，而是官方把學習門檻往下壓。當一家模型供應商開始提供固定教材，團隊在導入時就比較容易對齊術語、流程與最佳做法，減少各自摸索的時間。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780578178225-y6sd.png\" alt=\"Claude 合作夥伴課程上線\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對 Anthropic 來說，這也是一種夥伴生態的管理方式。比起只靠文件散點式學習，課程路徑更容易把 API、MCP 和 Claude Code 這幾條產品線串在一起，讓合作夥伴知道先學什麼、再做什麼、最後怎麼走向認證。\u003C\u002Fp>\u003Cp>這種模式也反映出 AI 產品競爭的另一面。當模型能力差距逐漸縮小，誰能把開發者教育、整合範例和上手流程做得更完整，誰就更容易留住實作團隊。對企業客戶而言，官方訓練材料通常也比零散社群教學更容易拿去內部推廣。\u003C\u002Fp>\u003Cp>真正的看點是，這條路徑會不會變成 Claude 合作夥伴的標準入口。若後續再接上認證、案例與實作評量，Anthropic 就不只是賣模型，而是在定義一套 Claude 開發者培訓管線。\u003C\u002Fp>\u003Cp>問題只剩一個：當學習路徑開始先於產品功能被包裝，開發者是更容易上手，還是更快被綁進某一家平台的工作方式？\u003C\u002Fp>","Anthropic 推出 Claude Partner Network Learning Path，先用 4 門課把 Skills、API、MCP 與 Claude Code 串成合作夥伴訓練入口。","anthropic.skilljar.com","https:\u002F\u002Fanthropic.skilljar.com\u002Fpage\u002Fclaude-partner-network-learning-path",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780578178111-1za9.png","tools","zh","e66cde5d-1c33-4efa-8f2b-09fb8b19d184",[17,18,19,20,21],"Anthropic","Claude","MCP","Claude Code","開發者訓練",[23,24,25],"Anthropic 用 4 門課把 Claude 的 Skills、API、MCP 和 Claude Code 串成官方學習路徑。","這條路徑把訓練、產品使用和認證前置，目的在縮短合作夥伴上手時間。","對開發者來說，重點是少走彎路；對 Anthropic 來說，重點是把生態入口標準化。",0,"2026-06-04T13:02:27.319581+00:00","2026-06-04T13:02:27.308+00:00","c3c88dd2-a940-438a-b359-0e5a24562273",{"tags":31,"relatedLang":41,"relatedPosts":45},[32,34,35,37,39],{"name":19,"slug":33},"mcp",{"name":21,"slug":21},{"name":20,"slug":36},"claude-code",{"name":17,"slug":38},"anthropic",{"name":18,"slug":40},"claude",{"id":15,"slug":42,"title":43,"language":44},"claude-partner-network-learning-path-launches-en","Claude Partner Network Learning Path launches","en",[46,52,58,64,70,76],{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":13},"6ea3977e-ea7f-4d71-9472-08b512f81593","ai-code-review-tools-catch-hard-bugs-zh","AI code review 讓你抓到硬 bug","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780582701702-jnoi.png","2026-06-04T14:17:50.313258+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":13},"1a92ac0a-75ea-4877-874d-4a309cd0085b","nvidia-research-gpu-template-zh","NVIDIA 研究頁把 GPU 資源變模板","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780567412863-e8oq.png","2026-06-04T10:02:58.043845+00:00",{"id":59,"slug":60,"title":61,"cover_image":62,"image_url":62,"created_at":63,"category":13},"3ead09ec-5656-4165-9bb0-f602add3c409","qdrant-filter-first-rag-design-decoded-zh","Qdrant 讓 RAG 先過濾再找相似","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780566519640-bdds.png","2026-06-04T09:47:59.450347+00:00",{"id":65,"slug":66,"title":67,"cover_image":68,"image_url":68,"created_at":69,"category":13},"7b5e6965-307e-4492-bf65-d922cd7818ad","anthropic-code-review-tool-ai-generated-code-zh","Anthropic 讓 AI 程式變可審","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780563813320-5wc7.png","2026-06-04T09:02:56.999212+00:00",{"id":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"category":13},"bef47dbc-b0b4-439e-bae9-abe9473a321c","wei-shen-me-tether-ba-ben-di-ai-ji-yi-tui-jin-ri-chang-zhuan-zh","為什麼 Tether 把本地 AI 記憶推進日常裝置是對的","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780542170805-opi6.png","2026-06-04T03:02:19.599329+00:00",{"id":77,"slug":78,"title":79,"cover_image":80,"image_url":80,"created_at":81,"category":13},"d3ec03a8-a805-4a21-9826-72a74a72b625","databricks-model-serving-llm-deploy-guide-zh","Databricks Model Serving 讓 LLM 部署變簡單","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780525998117-7ur8.png","2026-06-03T22:32:51.005996+00:00",[83,88,93,98,103,108,113,118,123,128],{"id":84,"slug":85,"title":86,"created_at":87},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 工具層","2026-03-26T08:01:46.589694+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"af9c46c3-7a28-410b-9f04-32b3de30a68c","prompting-in-2026-what-actually-works-zh","2026 提示工程，真正有用的是什麼","2026-03-26T08:08:12.453028+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"05553086-6ed0-4758-81fd-6cab24b575e0","garry-tan-open-sources-claude-code-toolkit-zh","Garry Tan 開源 Claude Code 工具包","2026-03-26T08:26:20.068737+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"042a73a2-18a2-433d-9e8f-9802b9559aac","github-ai-projects-to-watch-in-2026-zh","2026 必看 20 個 GitHub AI 專案","2026-03-26T08:28:09.619964+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"a5f94120-ac0d-4483-9a8b-63590071ac6a","claude-code-vs-cursor-2026-zh","Claude Code 與 Cursor 深度對比：202…","2026-03-26T13:27:14.279193+00:00",{"id":114,"slug":115,"title":116,"created_at":117},"0975afa1-e0c7-4130-a20d-d890eaed995e","practical-github-guide-learning-ml-2026-zh","2026 機器學習入門 GitHub 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