GAIEAWAmazon Web ServicesAW-GAIE2.0<ul> <li>Explain responsible AI foundations</li><li>Describe multimodal AI capabilities</li><li>Implement generative AI solutions using Amazon Bedrock and Amazon Nova 2</li><li>Explain how retrieval-augmented generation (RAG) enhances AI responses by connecting agents to organizational knowledge sources</li><li>Describe Amazon Bedrock AgentCore capabilities</li><li>Apply responsible AI practices using Amazon Bedrock Guardrails</li><li>Explain security and governance considerations</li><li>Describe key components of generative AI project planning</li></ul><p>None - No prior AI or generative AI knowledge required</p><ul> <li>Business analyst</li><li>IT support</li><li>Marketing professional</li><li>Product or project manager</li><li>Line-of-Business or IT Managers</li><li>Sales professionals</li></ul><h5>Module 0: Course Introduction</h5><ul> <li>Course structure/schedule</li><li>Five-phase learning journey</li><li>Responsible AI foundational theme</li></ul><h5>Module 1: Responsible AI Foundations</h5><ul> <li>AI evolution: from traditional to generative</li><li>Eight dimensions of responsible AI</li><li>AWS commitment to responsible AI</li></ul><h5>Module 2: Introducing Generative AI</h5><ul> <li>Generative AI Foundation</li><li>Foundation models and embeddings deep dive</li><li>Amazon Bedrock and Amazon Nova 2 models</li><li>Comparing models</li></ul><h5>Module 3: Multi-Modal AI and use cases</h5><ul> <li>Multimodal AI capabilities</li><li>Industry applications and use cases</li><li>Use case evaluation framework</li></ul><h5>Module 4: Essentials of prompt engineering</h5><ul> <li>Prompt engineering fundamentals</li><li>Prompting strategies</li><li>Prompt security and attach vectors</li></ul><p>Lab 1 - Optimizing Slogan Generation with Amazon Bedrock</p> <h5>Module 5: Implementing responsible AI with Amazon Bedrock Guardrails</h5><ul> <li>Amazon Bedrock guardrails overview and configuration</li></ul><p>Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails</p> <h5>Module 6: Introduction to Amazon Agents</h5><ul> <li>Agentic AI concepts</li><li>Amazon Bedrock capabilities</li><li>Amazon Bedrock AgentCore overview</li><li>RAG and Knowledge Bases</li></ul><h5>Module 7: Introduction to Security, Governance, and Compliance</h5><ul> <li>From security principles to organizational accountability</li><li>Governance frameworks</li><li>Compliance requirements</li></ul><h5>Module 8: Implementing generative AI projects</h5><ul> <li>Project planning fundamentals</li></ul><p>Lab 3: Building an HR Assistant with Amazon Bedrock</p> <h5>Module 9: Summary</h5><ul> <li>Learning journey recap</li><li>Next steps</li></ul>- Explain responsible AI foundations - Describe multimodal AI capabilities - Implement generative AI solutions using Amazon Bedrock and Amazon Nova 2 - Explain how retrieval-augmented generation (RAG) enhances AI responses by connecting agents to organizational knowledge sources - Describe Amazon Bedrock AgentCore capabilities - Apply responsible AI practices using Amazon Bedrock Guardrails - Explain security and governance considerations - Describe key components of generative AI project planningNone - No prior AI or generative AI knowledge required- Business analyst - IT support - Marketing professional - Product or project manager - Line-of-Business or IT Managers - Sales professionalsModule 0: Course Introduction - Course structure/schedule - Five-phase learning journey - Responsible AI foundational theme Module 1: Responsible AI Foundations - AI evolution: from traditional to generative - Eight dimensions of responsible AI - AWS commitment to responsible AI Module 2: Introducing Generative AI - Generative AI Foundation - Foundation models and embeddings deep dive - Amazon Bedrock and Amazon Nova 2 models - Comparing models Module 3: Multi-Modal AI and use cases - Multimodal AI capabilities - Industry applications and use cases - Use case evaluation framework Module 4: Essentials of prompt engineering - Prompt engineering fundamentals - Prompting strategies - Prompt security and attach vectors Lab 1 - Optimizing Slogan Generation with Amazon Bedrock Module 5: Implementing responsible AI with Amazon Bedrock Guardrails - Amazon Bedrock guardrails overview and configuration Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails Module 6: Introduction to Amazon Agents - Agentic AI concepts - Amazon Bedrock capabilities - Amazon Bedrock AgentCore overview - RAG and Knowledge Bases Module 7: Introduction to Security, Governance, and Compliance - From security principles to organizational accountability - Governance frameworks - Compliance requirements Module 8: Implementing generative AI projects - Project planning fundamentals Lab 3: Building an HR Assistant with Amazon Bedrock Module 9: Summary - Learning journey recap - Next steps1 jour490.00750.00900.00750.00750.001300.00700.00500.00850.00960.00695.00700.00865.00