{"product_id":"building-agentic-ai-with-amazon-bedrock-agentcore","title":"Building Agentic AI with Amazon Bedrock AgentCore","description":"\u003cdiv\u003e\u003cp\u003eIn this course, you'll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS. You will use Amazon Bedrock AgentCore services for tool orchestration, identity management, and production monitoring to implement secure, scalable enterprise AI systems ready for deployment.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBuilding Agentic AI with Amazon Bedrock AgentCore Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine agentic AI characteristics and differentiate them from traditional AI systems.\u003c\/li\u003e\n\u003cli\u003eIdentify the core agent components and their interactions.\u003c\/li\u003e\n\u003cli\u003eDescribe how Bedrock AgentCore services support agentic AI.\u003c\/li\u003e\n\u003cli\u003eDeploy agents by using supported frameworks with AgentCore Runtime.\u003c\/li\u003e\n\u003cli\u003eDescribe the core features of AgentCore Runtime.\u003c\/li\u003e\n\u003cli\u003eConfigure serverless execution with session isolation.\u003c\/li\u003e\n\u003cli\u003eConfigure AgentCore Identity for enterprise security requirements.\u003c\/li\u003e\n\u003cli\u003eCreate policies to secure agent tool calls using AgentCore Policy.\u003c\/li\u003e\n\u003cli\u003eImplement secure token management and permission delegation.\u003c\/li\u003e\n\u003cli\u003eEnsure compliance with data governance and audit requirements.\u003c\/li\u003e\n\u003cli\u003eImplement different tool integration patterns, including built-in tools and protocol-based tools.\u003c\/li\u003e\n\u003cli\u003eDesign and deploy Model Context Protocol (MCP) servers and clients for extensible agent capabilities.\u003c\/li\u003e\n\u003cli\u003eDescribe common authentication patterns for agent tool use.\u003c\/li\u003e\n\u003cli\u003eConfigure AgentCore Gateway components for secure and authorized tool access.\u003c\/li\u003e\n\u003cli\u003eImplement agentic memory patterns for different use cases.\u003c\/li\u003e\n\u003cli\u003eConfigure AgentCore Memory operations for context-aware development.\u003c\/li\u003e\n\u003cli\u003eOptimize memory performance for production workloads.\u003c\/li\u003e\n\u003cli\u003eConfigure AgentCore Observability for production monitoring.\u003c\/li\u003e\n\u003cli\u003eImplement Amazon CloudWatch integration and specialized tracing.\u003c\/li\u003e\n\u003cli\u003eDescribe the core features of AgentCore Evaluations.\u003c\/li\u003e\n\u003cli\u003eIntegrate agentic systems with production APIs and services.\u003c\/li\u003e\n\u003cli\u003eDesign deployment strategies for production environments.\u003c\/li\u003e\n\u003cli\u003eAssess production readiness and establish continuous improvement processes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eWe recommend that attendees of this course have:\u003c\/p\u003e\n\u003cp\u003eAgentic AI Foundations\u003c\/p\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eBuild Agentic AI with Amazon Bedrock Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introductions\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFoundations of Agentic AI Patterns\u003c\/li\u003e\n\u003cli\u003eAgent building blocks\u003c\/li\u003e\n\u003cli\u003eAmazon Bedrock AgentCore introduction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: AgentCore Runtime and Framework Integration \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSupported frameworks and implementation\u003c\/li\u003e\n\u003cli\u003eAgentCore Runtime overview\u003c\/li\u003e\n\u003cli\u003eInfrastructure and deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Security and Identity Management \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecurity and identity management\u003c\/li\u003e\n\u003cli\u003eSecuring your agents with AgentCore Identity\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Tool Integration and AgentCore Gateway \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAmazon Bedrock AgentCore Policy\u003c\/li\u003e\n\u003cli\u003eBuilt-in tools and custom integration\u003c\/li\u003e\n\u003cli\u003eModel Context Protocol (MCP)\u003c\/li\u003e\n\u003cli\u003eAgentCore Gateway\u003c\/li\u003e\n\u003cli\u003eImplementing AgentCore Gateway\u003c\/li\u003e\n\u003cli\u003eAmazon Bedrock AgentCore Policy\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Agentic Memory Implementation \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAgentic memory core concepts\u003c\/li\u003e\n\u003cli\u003eAgentCore Memory\u003c\/li\u003e\n\u003cli\u003eSecuring AgentCore Memory\u003c\/li\u003e\n\u003cli\u003eHands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Production Monitoring and Observability\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMonitoring agents with AgentCore Observability\u003c\/li\u003e\n\u003cli\u003eVerifying agent performance with AgentCore Evaluation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266B09CN \/ 2026-06-22T09:00:00 \/ Online","offer_id":48071694909610,"sku":"US-1930-IL","price":895.0,"currency_code":"USD","in_stock":true},{"title":"268D08US \/ 2026-08-10T09:00:00 \/ Online","offer_id":48071694942378,"sku":"US-1930-IL","price":895.0,"currency_code":"USD","in_stock":true},{"title":"269B02CN \/ 2026-09-21T09:00:00 \/ Online","offer_id":48071694975146,"sku":"US-1930-IL","price":895.0,"currency_code":"USD","in_stock":true},{"title":"26BC81US \/ 2026-11-09T09:00:00 \/ 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