AWS Certified Generative AI Developer - Professional AIP-C01

About this course

Are you ready to pass the AWS Certified Generative AI Developer – Professional (AIP-C01) exam on your first attempt?

This comprehensive practice test course is designed to simulate the real AIP-C01 exam experience, helping you identify knowledge gaps, build confidence, and master every domain covered in the official AWS exam guide.

What's inside this course:

Full-length practice tests aligned with the official AWS AIP-C01 exam blueprint , Realistic, scenario-based questions matching the actual exam difficulty , Detailed explanations for every question — learn the why behind each answer , Coverage of all 5 official exam domains with proper weightings , Updated with the latest AWS Generative AI services and best practices

All 5 official exam domains are covered:

Domain 1: Foundation Model Integration, Data Management, and Compliance (31%) — Amazon Bedrock, foundation model selection, vector databases (OpenSearch, Aurora pgvector), embeddings, chunking strategies, and RAG architectures.

Domain 2: Implementation and Integration (26%) — Agentic AI (Bedrock Agents, Strands Agents, MCP), model deployment (Lambda, SageMaker AI endpoints, provisioned throughput), Step Functions, real-time streaming, and Amazon Q Developer. Domain 3: AI Safety, Security, and Governance (20%) — Bedrock Guardrails, responsible AI, bias monitoring, prompt injection defense, data privacy, IAM, and AI output filtering. Domain 4: Operational Efficiency and Optimization for GenAI Applications (12%) — Cost optimization, caching, throughput tuning, CloudWatch monitoring, and observability.

Domain 5: Testing, Validation, and Troubleshooting (11%) — Evaluation frameworks, SageMaker Clarify, A/B testing, debugging, and quality assurance for GenAI applications.

Who is this course for? Developers, ML engineers, solutions architect

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