[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cheat-sheet---en":3,"domain-info---en":3,"topic-info----en":3,"prev-aws-certified-ai-practitioner-genai-fundamentals-aws-genai-stack-why-build-genai-on-aws-en":4,"lesson-aws-certified-ai-practitioner-genai-fundamentals-aws-genai-stack-why-build-genai-on-aws-en":19,"next-aws-certified-ai-practitioner-genai-fundamentals-aws-genai-stack-why-build-genai-on-aws-en":30},null,{"locked":5,"reason":6,"meta":7,"item":3},true,"paywall",{"title":8,"description":9,"isFree":10,"estimatedMinutes":11,"difficulty":12,"learningObjectives":13},"Amazon Q, Kiro, and the Agentic Toolset","Separate the AWS tools that ship a finished AI assistant from the ones that give you parts to build with: Amazon Q, Amazon Quick, Kiro, Strands Agents, and Amazon Bedrock AgentCore.",false,20,"intermediate",[14,15,16,17,18],"Distinguish AWS generative AI products you consume from SDKs and platforms you build with","Describe what Amazon Q and Amazon Quick do and who each one serves","Explain spec-driven development in Kiro and what specs, steering, and hooks contribute","Compare Strands Agents and Amazon Bedrock AgentCore by the role each plays in an agent's life","Match a scenario to the right tool in this group",{"locked":5,"reason":6,"meta":20,"item":3},{"title":21,"description":22,"isFree":10,"estimatedMinutes":23,"difficulty":24,"learningObjectives":25},"Why Build Generative AI on AWS","Turn the exam's two lists, the advantages of AWS generative AI services and the benefits of AWS infrastructure, into arguments you can defend, and learn which word in a scenario points at which one.",17,"beginner",[26,27,28,29],"Explain the advantages the exam names for AWS generative AI services and what each one means concretely","Describe the benefits of AWS infrastructure across security, compliance, responsibility, and safety","Apply the shared responsibility model to a generative AI workload","Identify which AWS service answers a given governance or compliance requirement",{"locked":5,"reason":6,"meta":31,"item":3},{"title":32,"description":33,"isFree":10,"estimatedMinutes":11,"difficulty":12,"learningObjectives":34},"Cost Tradeoffs of AWS Generative AI Services","Work through the choices that decide a generative AI bill on AWS: on-demand versus batch versus Provisioned Throughput, what a custom model really costs, and how responsiveness, redundancy, and Regional coverage each carry a price.",[35,36,37,38,39],"Compare Amazon Bedrock's inference purchasing modes and match each to a traffic pattern","Explain what Provisioned Throughput buys, how model units and commitment terms work, and when it is mandatory","Calculate the full cost of a custom model beyond its training bill","Describe how responsiveness, availability, redundancy, and Regional coverage trade against cost","Identify the cost levers available before you change models"]