AWS Certified Generative AI Developer Professional Practice

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AWS Certified Generative AI Developer Professional Practice

About this course

Course Update LogsJune 2026Practice Test 2: 12 Brand New Questions AddedMarch 2026Course LaunchedAdded two new practice exam with advanced scenario-based questions on RAG, vector databases, and agentic AI systemsUpdated questions covering Amazon Bedrock prompt management and FM deployment patternsCertification Alignment TrackerThis course is actively maintained to stay aligned with the AWS Certified Generative AI Developer – Professional (AIP-C01) certification exam blueprint.---Exam Readiness TrackerUse the following readiness benchmark before attempting the real AWS certification exam.Score below 60%You should strengthen your fundamentals in foundation model integration, vector stores, and GenAI architectures.Score between 60% and 75%You understand key concepts but should practice more scenario-based questions on prompt engineering, AI safety, and enterprise integrations.Score between 75% and 85%You are approaching exam readiness. Review complex topics such as agentic AI systems, GenAI monitoring, and model evaluation.Score above 85%You are likely ready to attempt the AWS Certified Generative AI Developer – Professional exam.---Practice Exam Quality AssuranceEvery practice question in this course is created using a structured validation process to ensure quality and exam relevance.Question design principlesBlueprint-aligned coverage across all AWS exam domainsReal-world GenAI architecture scenario

What you'll learn

  • understand foundation model integration
  • gain insights into vector databases
  • explore agentic AI systems
  • manage Amazon Bedrock prompts
  • prepare for scenario-based questions in AI safety and enterprise integrations

Course objectives

  • help students assess their exam readiness
  • provide scenario-based practice questions
  • align content with AWS exam requirements

Skills you'll gain

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