你想免費學 AI 嗎？ Do you want to learn AI for free?
Anthropic Academy 是人工智慧（AI）公司 Anthropic 創立的線上學習平台。
Anthropic Academy is an online learning platform founded by artificial intelligence (AI) company Anthropic.
平台課程兼具理論與實作，涵蓋 API 應用、雲端服務整合到生態系高階應用等廣泛主題。這些課程特別適合 AI 開發者、企業工程團隊，以及對 AI 領域有濃厚興趣的人士。
Platform courses combine theory and practice, covering a wide range of topics, from API applications and cloud service integration to advanced ecosystem applications. These courses are particularly suitable for AI developers, enterprise engineering teams, and those with a strong interest in the field of AI.
掌握最新AI、半導體、數位趨勢！訂閱《數位時代》日報及社群活動訊息
Stay up to date on the latest AI, semiconductor, and digital trends! Subscribe to Digital Times Daily and get updates on social media events.
所有課程內容皆為英文，不過課程完全免費，學員完成後還能取得認證證書，為專業技能加分。《數位時代》以下整理出 Anthropic Academy 的 6 門課程，讓有興趣的讀者快速掌握內容、時長與報名方式等重要資訊。
All courses are taught in English, but are completely free. Upon completion, students receive a certificate, further bolstering their professional skills. Digital Times has compiled six courses from Anthropic Academy below, providing readers with a quick overview of key information, including content, duration, and registration.
Anthropic Academy 課程怎麼報名？
How do I register for Anthropic Academy courses?
Anthropic Academy 的課程被託管於Skilljar 的學習平台上，使用者若想報名課程，需要先註冊一組 Skilljar 的帳號，註冊後即可登入並開始上課。
Anthropic Academy's courses are hosted on Skilljar's learning platform. If users want to sign up for courses, they need to first register a Skilljar account. After registration, they can log in and start classes.
Claude with the Anthropic API
- 時長：8小時 Duration: 8 hours
- 課程介紹：這門課程主要介紹 Anthropic API，從基礎用法到進階的代理架構，學員可以學習將 Claude 整合進應用程式、實作工具呼叫、建立 RAG（檢索增強生成）流程，以及設計可預測的工作流程和彈性的代理系統。
Course Description: This course mainly introduces the Anthropic API, from basic usage to advanced agent architecture. Students can learn to integrate Claude into applications, implement tool calls, establish RAG (Retrieval Enhancement Generation) processes, and design predictable workflows and flexible agent systems. - 先修條件：熟悉 Python 程式設計、基本的 JSON 資料處理知識、擁有 Anthropic API 金鑰
Prerequisites: Familiarity with Python programming, basic JSON data processing knowledge, and possession of the Anthropic API key - 適合對象：需要將 Claude 整合到實際應用中的軟體工程師。
Best suited for: Software engineers who need to integrate Claude into real-world applications.
Claude with Amazon Bedrock
- 時長：8小時 Duration: 8 hours
- 課程介紹：這門課程將帶領學員深入了解如何透過 AWS Bedrock API 使用 Claude 模型。從最基礎的 API 請求，到進階的代理實作，學員將學會發送 API 請求、使用各種工具、建立 RAG 流程，以及操作 MCP 伺服器、運用 Claude Code 和電腦自動化等強大功能。
Course Description: This course provides a deep understanding of how to use Claude models with the AWS Bedrock API. From basic API requests to advanced proxy implementation, students will learn how to send API requests, use various tools, establish RAG processes, operate MCP servers, and leverage powerful features such as Claude Code and computer automation. - 先修條件：熟練 Python 程式設計、基本的 JSON 資料處理知識、可使用 Bedrock 的 AWS 帳號
Prerequisites: Proficiency in Python programming, basic JSON data processing knowledge, and access to Bedrock's AWS account - 適合對象：想要在自己的應用程式中加入 AI 功能的開發者
Best for: Developers who want to add AI capabilities to their apps
Claude with Google Cloud's Vertex AI
- 時長：8小時 Duration: 8 hours
- 課程介紹：這門課程主要講解透過 Google Cloud 的 Vertex AI 平台使用 Claude 模型。學員可以實作 API 的核心功能（如串流和工具使用）、建立系統化的提示評估流程、理解 RAG 系統，並深入研究代理架構。
Course Description: This course focuses on using the Claude model with Google Cloud's Vertex AI platform. Participants will implement core API functionality (such as streaming and tooling), establish a systematic prompt evaluation process, understand the RAG system, and delve into agent architecture. - 先修條件：熟練 Python 程式設計、基本的 JSON 資料處理知識、可使用 Vertex AI 的 Google Cloud 帳號
Prerequisites: Proficiency in Python programming, basic knowledge of JSON data processing, and a Google Cloud account with access to Vertex AI - 適合對象：想要在自己的應用程式中加入 AI 功能的開發者
Best for: Developers who want to add AI capabilities to their apps
Introduction to Model Context Protocol
- 時長：1小時 Duration: 1 hour
- 課程介紹：這門課程將介紹 MCP（模型上下文協議），這是一種讓 Claude 能連接外部服務和資料來源的強大協議，且無需手動撰寫工具結構。學員將學會如何建立提供資源的 MCP 伺服器，以及如何運用這些資源的 MCP 用戶端。課程中更包含一個實作專案，帶領學員親手打造一套文件管理系統。
Course Description: This course introduces MCP (Model Context Protocol), a powerful protocol that enables Claude to connect to external services and data sources without having to manually write tooling structures. Participants will learn how to build an MCP server that provides resources and how to create an MCP client that consumes these resources. The course also includes a hands-on project to guide participants through the creation of a document management system. - 先修條件：基本的 Python 程式設計經驗、了解 async/await 模式、熟悉 API 相關概念
Prerequisites: Basic Python programming experience, understanding of the async/await model, and familiarity with API concepts - 適用對象：想要在不撰寫大量整合程式碼的情況下，將 Claude 與外部工具和服務整合的工程師
Best for: Engineers who want to integrate Claude with external tools and services without writing a lot of integration code
延伸閱讀：MCP是什麼？定義、實例一次看懂
Further reading: What is MCP? Definition and examples at a glance
Model Context Protocol: Advanced Topics
- 時長：1小時 Duration: 1 hour
- 課程介紹：這門課程將深入探討 MCP 伺服器與用戶端的技術實作，涵蓋基礎的訊息傳遞到正式部署的完整策略。學員將了解 MCP 透過標準化的協議、傳輸方式和訊息格式，讓 Claude 能與外部工具和資料來源順暢互動。
Course Description: This course delves into the technical implementation of MCP servers and clients, covering basic messaging to comprehensive deployment strategies. Participants will learn how MCP enables Claude to interact smoothly with external tools and data sources through standardized protocols, transport methods, and message formats. - 先修條件：對 MCP 伺服器與用戶端有基本了解、熟悉async模式
Prerequisites: Basic understanding of MCP server and client, familiarity with async mode - 適用對象：需要了解 MCP 協議進階功能、正在建置 MCP 伺服器正式環境的工程師
Applicable to: Engineers who need to understand the advanced features of the MCP protocol and are building a formal MCP server environment
Claude Code in Action
- 時長：1小時
- 課程介紹：本課程將介紹 Claude Code——一款利用語言模型執行開發任務的指令列 AI 助手。學員將學會如何透過其工具系統，讓 Claude Code 讀取檔案、執行指令和修改程式碼。此外，課程還會涵蓋管理情境、建立自訂工作流程、用 hooks 擴充功能，以及與外部服務整合等進階技巧。
- 先修條件：熟悉指令列介面、能夠存取 Claude Code 並擁有 API 金鑰
- 適用對象：希望透過 AI 協助加快開發流程的工程師
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資料來源：Anthropic
