AI Automation with n8n and LangChain培訓

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI platform engineers, DevOps for AI, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems.

By the end of this training, participants will be able to:

• Design and optimize complex LangGraph topologies for speed, cost, and scalability.
• Engineer reliability with retries, timeouts, idempotency, and checkpoint-based recovery.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

這種由 講師指導的 香港 現場培訓（在線或現場）面向希望使用 n8n 掌握高級工作流程自動化技術的高級開發人員和數據工程師。

在本次培訓結束時，參與者將能夠：

• 使用條件邏輯和分支創建和實施高級工作流。
• 與複雜的 API 和第三方系統集成。
• 開發和部署自定義節點以擴展 n8n 的功能。
• 優化工作流，在數據密集型環境中實現可擴展性和效率。

這種以講師為主導的 香港（在線或現場）現場培訓面向希望在 n8n 中創建高級 AI 工作流程的中高級開發人員和 AI 愛好者。

在培訓結束時，參與者將能夠：

• 瞭解 AI 服務與 n8n 工作流的整合。
• 在自動化流程中實施 AI 驅動的決策。
• 創建自定義 AI 節點，並在 n8n 中使用預構建的 AI 節點。
• 分析和優化 AI 工作流的性能。

這種講師指導的現場培訓在 香港（在線或現場）面向高級開發人員和技術顧問，他們希望創建量身定製的自動化解決方案並擴展 n8n 的功能以滿足特定的組織需求。

在本次培訓結束時，參與者將能夠：

• 在 n8n 中設置用於構建自定義節點的開發環境。
• 開發自定義節點以處理特定的業務使用案例。
• 在受控環境中測試和調試自定義節點。
• 部署和維護自定義節點以供生產使用。

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based finance solutions with proper governance, observability, and compliance.

By the end of this training, participants will be able to:

• Design finance-specific LangGraph workflows aligned to regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems for performance, cost, and SLAs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph is a framework for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.

By the end of this training, participants will be able to:

• Explain core LangGraph concepts (nodes, edges, state) and when to use them.
• Build prompt chains that branch, call tools, and maintain memory.
• Integrate retrieval and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph apps for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises on design, testing, and evaluation.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are crucial for compliance, interoperability, and building decision-support systems that align with medical workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.

By the end of this training, participants will be able to:

• Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
• Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications in healthcare production settings.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world case studies.
• Implementation practice in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based legal solutions with the necessary compliance, traceability, and governance controls.

By the end of this training, participants will be able to:

• Design legal-specific LangGraph workflows that preserve auditability and compliance.
• Integrate legal ontologies and document standards into graph state and processing.
• Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploy, monitor, and maintain LangGraph services in production with observability and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph is a framework for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and product teams who wish to combine LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

By the end of this training, participants will be able to:

• Design graph-based workflows that coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallbacks for robust execution.
• Integrate retrieval, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and harden agent behavior for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

By the end of this training, participants will be able to:

• Design graph-structured content and email workflows with conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalization.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimize workflow performance and delivery outcomes.

Format of the Course

• Interactive lectures and group discussions.
• Hands-on labs implementing email workflows and content pipelines.
• Scenario-based exercises on personalization, segmentation, and branching logic.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

這種由講師指導的香港（在線或現場）現場培訓面向希望學習 n8n 基礎知識以自動化任務和流程的初級業務專業人員和IT愛好者。

在培訓結束時，參與者將能夠：

• 瞭解 n8n 及其基於節點的介面的基礎知識。
• 設置和配置 n8n。
• 創建簡單的工作流以自動執行任務。
• 使用 n8n 連接不同的服務和應用程式。

此 香港 講師指導的現場培訓（在線或現場）面向希望使用 n8n 集成來自不同來源的數據、轉換數據以及自動化報告和分析工作流程的中級數據專業人員。

在本次培訓結束時，參與者將能夠：

• 了解數據整合概念和 n8n 在支援 ETL 流程中的作用。
• 使用 n8n 連接各種數據源，例如資料庫、雲存儲和 API。
• 轉換和清理數據以進行分析。
• 自動化 ETL 工作流程以支援跨系統的數據報告需求。

這個面向高級 IoT 開發人員和希望使用 n8n 自動化 IoT 流程和創建創新解決方案的智能家居愛好者的講師主導的現場培訓位於香港（在線或現場）。

培訓結束時，參與者將能夠：

• 為 IoT 工作流自動化設置和配置 n8n。
• 使用 n8n 節點和連接器集成 IoT 設備和平台。
• 實現自定義工作流程以自動化 IoT 任務和流程。
• 在 n8n 工作流程中使用 MQTT 和 REST API 等 IoT 協議。
• 監控、排除故障和優化 IoT 自動化工作流程。

這種由 講師指導的 香港 現場培訓（在線或現場）面向希望使用 n8n 自動化和集成行銷工作流程的初級到中級營銷專業人士。

在本次培訓結束時，參與者將能夠：

• 瞭解 n8n 的基礎知識及其行銷自動化功能。
• 創建連接社交媒體平臺、電子郵件行銷軟體和CRM的工作流程。
• 為營銷活動跟蹤、互動監控和客戶細分構建自動化流程。
• 應用自動化技術來節省時間並改善營銷結果。

這種講師指導的現場培訓<本地>（在線或現場）面向高級IT管理員和 DevOps 工程師，他們希望保護和擴展 n8n 大型企業環境的工作流程。

在本次培訓結束時，參與者將能夠：

• 實施安全措施以保護 n8n 工作流和敏感數據。
• 為 n8n 配置存取控制和使用者管理。
• 優化 n8n 性能和可靠性，實現大規模自動化。
• 識別並解決 n8n 工作流中的常見擴展挑戰。