Amazon Web Services - AWAIAAS

Building Advanced Agentic Systems on AWS

Building Advanced Agentic Systems on AWS
  • 時數:7小時
  • 費用:NT$ 14,000
  • 點數:3.5

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教材

AWS原廠電子教材

課程目標

在本課程中,您將學習如何使用Amazon Bedrock AgentCore實作生產準備的多代理系統,涵蓋多代理模式、情境優化技術、安全配置及監控框架。您將檢視從概念驗證轉向可擴展、安全且可觀察的代理式AI實作所需的技能。本課程將協助您設計並部署先進代理系統,使其能投入真實生產環境。

適合對象

  1. Software developers seeking intermediate knowledge for building advanced agentic AI systems
  2. Technical professionals exploring AI capabilities and interested in building agentic AI systems
  3. Development teams building advanced agentic AI solutions

已完成以下課程所具備技術能力
AWAIABA:Building Agentic AI with Amazon Bedrock AgentCore

預備知識

Agentic AI基礎知識

課程內容

  1. Multi-Agent Architecture and Communications Patterns(多代理架構與通訊模式)
    ● Single agent limitations and multi-agent benefits

    ● Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 1: Building a Personal Budget Assistant with Strands Agents

    ● Multi-agent communication patterns

    ● Memory and state management

    ● Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 2: Building a Multi-Agent System for Complex Financial Analysis

    ● Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore

  2. Context Engineering and Performance Optimization(情境工程與效能優化)
    ● Context as finite resource

    ● Context optimization techniques

    ● Tool design for context efficiency

  3. Security and Compliance Implementation(安全與合規實施)
    ● Production Identity and Access Management

    ● VPC integration and network security

  4. Production Monitoring, Observability, and Evaluation(生產監控、可觀察性與評估)
    ● Monitoring architecture

    ● AgentCore evaluation

    ● Enterprise observability integration

    ● Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 3: Deploying Production-Ready Agents with Amazon Bedrock AgentCore

  5. Well-Architected Agentic AI Systems(良好架構的代理式人工智慧系統)
    ● Applying the Well-Architected framework

    ● Well-Architected deployment

    ● Production readiness

  6. Course Wrap-up(課程總結)
    ● Next steps and additional resources

    ● Course summary

學會技能

  1. 分析需要多代理架構的情境
  2. 描述主要的多代理通訊模式及其使用案例
  3. 為生產部署配置代理即工具模式
  4. 利用現有平台功能實作記憶體共享
  5. 為生產工作負載實施情境管理策略
  6. 設計情境壓縮與優化機制
  7. 優化多代理系統的資源使用與成本管理
  8. 使用AgentCore Policy Engine配置基於政策的存取控制
  9. 實作VPC整合以進行安全代理部署
  10. 在多代理系統間實作分散式追蹤與監控
  11. 建立全面的代理人評估架構
  12. 配置企業可觀察系統的整合模式
  13. 建立全面的稽核追蹤與合規監控
  14. 將代理系統與生產環境的API及服務整合
  15. 設計生產環境部署策略
  16. 評估生產準備度並建立持續改進流程

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