{"product_id":"advanced-generative-ai-development-on-aws","title":"Advanced Generative AI Development on AWS","description":"\u003cdiv\u003e\u003cp\u003eThe Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAdvanced Generative AI Development on AWS Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will: \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDevelop production-ready generative AI solutions using AWS services that meet enterprise requirements for security, scalability, and reliability\u003c\/li\u003e\n\u003cli\u003eEvaluate and select appropriate foundation models for specific business use cases, including benchmarking performance and implementing dynamic model selection architectures\u003c\/li\u003e\n\u003cli\u003eDesign and implement resilient foundation model systems with circuit breakers, cross-region deployment, and graceful degradation strategies\u003c\/li\u003e\n\u003cli\u003eBuild comprehensive data processing pipelines for multi-modal inputs, including validation workflows and optimization techniques\u003c\/li\u003e\n\u003cli\u003eImplement sophisticated vector database solutions using Amazon Bedrock Knowledge Bases, OpenSearch, and hybrid approaches for effective retrieval augmentation\u003c\/li\u003e\n\u003cli\u003eCreate and manage advanced prompt engineering frameworks, including chain-of-thought reasoning and enterprise-wide prompt governance systems\u003c\/li\u003e\n\u003cli\u003eDevelop autonomous AI agents using Amazon Bedrock Agents, implementing complex reasoning patterns and tool integration capabilities\u003c\/li\u003e\n\u003cli\u003eImplement comprehensive AI safety and security controls, including content filtering, privacy preservation, and adversarial testing mechanisms\u003c\/li\u003e\n\u003cli\u003eOptimize performance and manage costs through token efficiency strategies, batching implementations, and intelligent caching systems\u003c\/li\u003e\n\u003cli\u003eDesign and implement comprehensive monitoring and observability solutions for foundation model applications • Create systematic testing and validation frameworks for continuous quality assurance of AI applications • Integrate generative AI solutions within enterprise environments using secure, compliant, and scalable architectural patterns\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAWS Technical Essentials\u003c\/li\u003e\n\u003cli\u003eGenerative AI Essentials on AWS\u003c\/li\u003e\n\u003cli\u003e2 or more years of experience building production grade applications on AWS or with opensource technologies, general AI\/ML or data engineering experience\u003c\/li\u003e\n\u003cli\u003e1 year of hands-on experience implementing generative AI solutions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eWho Should Attend\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSoftware developers\u003c\/li\u003e\n\u003cli\u003eTechnical Professionals\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAdvanced Generative AI on AWS Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003eModule 1: Foundation Model Selection and Configuration\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEnterprise foundation model evaluation framework\u003c\/li\u003e\n\u003cli\u003eDynamic model selection architecture patterns\u003c\/li\u003e\n\u003cli\u003eResilient foundation model system designs\u003c\/li\u003e\n\u003cli\u003eCost optimization and economic modeling\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 2: Advanced Data Processing for Foundation Models\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eComprehensive data validation and quality assurance\u003c\/li\u003e\n\u003cli\u003eMulti-modal data processing pipelines\u003c\/li\u003e\n\u003cli\u003eInput optimization and performance enhancement\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 3: Vector Databases and Retrieval Augmentation\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEnterprise vector database architecture\u003c\/li\u003e\n\u003cli\u003eAdvanced document processing and chunking strategies\u003c\/li\u003e\n\u003cli\u003eSophisticated retrieval system implementation\u003c\/li\u003e\n\u003cli\u003eHands-on Lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Bases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 4: Prompt Engineering and Governance\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAdvanced prompt engineering frameworks\u003c\/li\u003e\n\u003cli\u003eComplex prompt orchestration systems\u003c\/li\u003e\n\u003cli\u003eEnterprise prompt governance and management\u003c\/li\u003e\n\u003cli\u003eHands-on Lab: Develop conversation pattern with Amazon Bedrock APIs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 5: Agentic AI and Tool Integration\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAgentic AI architecture and evolution\u003c\/li\u003e\n\u003cli\u003eAmazon Bedrock Agents implementation\u003c\/li\u003e\n\u003cli\u003eAWS Agentic AI service ecosystem\u003c\/li\u003e\n\u003cli\u003eTool integration and production observability\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 6: AI Safety and Security\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eComprehensive content safety implementation\u003c\/li\u003e\n\u003cli\u003ePrivacy-preserving AI architecture\u003c\/li\u003e\n\u003cli\u003eAI governance and compliance frameworks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 7: Performance Optimization and Cost Management\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eToken efficiency and cost optimization\u003c\/li\u003e\n\u003cli\u003eHigh-performance system architecture\u003c\/li\u003e\n\u003cli\u003eIntelligent caching systems implementation\u003c\/li\u003e\n\u003cli\u003eHands-on Lab: Building Secure and Responsible Gen AI with Guardrails for Amazon Bedrock\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 8: Monitoring and Observability for Generative AI\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFoundation model monitoring systems\u003c\/li\u003e\n\u003cli\u003eBusiness impact and value management\u003c\/li\u003e\n\u003cli\u003eAI-specific troubleshooting and diagnostics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 9: Testing, Validation, and Continuous Improvement\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eComprehensive AI evaluation frameworks\u003c\/li\u003e\n\u003cli\u003eQuality assurance and continuous improvement\u003c\/li\u003e\n\u003cli\u003eRAG system evaluation and optimization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 10: Enterprise Integration Patterns\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEnterprise connectivity and integration architecture\u003c\/li\u003e\n\u003cli\u003eSecure access and identity management • Cross-environment and hybrid deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 11: Course wrap-up\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNext steps and additional resources\u003c\/li\u003e\n\u003cli\u003eCourse summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A93CN \/ 2026-07-15T09:00:00 \/ Ottawa","offer_id":51449492635938,"sku":"US-1931-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269C88US \/ 2026-09-02T09:00:00 \/ Herndon, 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