Library / Artificial Intelligence

[NEW] AWS Certified Generative AI Developer - Professional

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AWS Certified Generative AI Developer - Professional Detailed Exam Domain Coverage

Before diving into the course details, here is the exact breakdown of the AWS Certified Generative AI Developer – Professional exam domains to help you focus your study efforts:

  • Domain 1: Foundation Model Integration, Data Management, and Compliance (31%)Integrate foundation models into applications and workflows.
  • Design and manage data pipelines for GenAI solutions.
  • Apply compliance, governance, and data security standards.
  • Utilize vector stores and Retrieval Augmented Generation (RAG).
  • Evaluate foundation models for quality and responsibility.
  • Domain 2: Implementation and Integration (26%)Implement GenAI services using AWS Bedrock and related services.
  • Develop and apply prompt engineering techniques.
  • Build agentic AI solutions and orchestrate workflows.
  • Integrate GenAI applications with AWS Lambda, API Gateway, and other services.
  • Deploy and manage generative AI models in production.
  • Domain 3: AI Safety, Security, and Governance (20%)Apply security controls and encryption for GenAI workloads.
  • Implement responsible AI practices and risk assessments.
  • Establish governance frameworks for model usage.
  • Ensure data privacy and compliance with regulatory requirements.
  • Monitor and audit AI system behavior for safety.
  • Domain 4: Operational Efficiency and Optimization for GenAI Applications (12%)Optimize cost and performance of GenAI workloads.
  • Scale inference using appropriate AWS compute options.
  • Monitor application metrics with CloudWatch and logs.
  • Implement caching and latency reduction strateg

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