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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Udemy: 2026-09-27 · Coursera: 2026-09-27
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