AWS Cert Generative AI Developer (AIP-C01) Practice Exams

About this course

Prepare with confidence for the AWS Certified Generative AI Developer – Professional (AIP-C01) certification using this exam-focused practice test course. This course is designed for developers, ML engineers, and cloud professionals who want to validate their ability to build, secure, and operate production-grade Generative AI applications on AWS.The AIP-C01 exam validates real-world skills in integrating Foundation Models (FMs) using Amazon Bedrock, designing Retrieval-Augmented Generation (RAG) systems with vector databases, building agentic workflows, applying responsible AI and security controls, and optimizing cost, performance, and reliability of GenAI workloads.This course includes 5 full-length practice exams, carefully aligned with the official AWS exam blueprint, difficulty level, and scenario-based question style.Key Exam Domains & Coverage (Aligned with AIP-C01)Foundation Model Integration, Data Management & Compliance (31%)Designing end-to-end Generative AI architectures on AWS, selecting and configuring Foundation Models using Amazon Bedrock, applying prompt engineering and optimization strategies, building Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases, and managing data ingestion, storage, governance, and compliance requirements.Implementation & Integration (26%)Building agentic systems using Amazon Bedrock Agents, Flows, and Tools; orchestrating Generative AI workflows with AWS Step Functions and AWS Lambda; integrating GenAI solutions with AWS services such as Amazon SageMaker, AWS Glue, and Amazon API Gateway; and applying CI/CD best practices for deploying and maintaining GenAI applications.AI Safety, Security & Governanc

Course objectives

• validate real-world skills in Generative AI application development
• optimize cost, performance, and reliability of GenAI workloads
• manage data ingestion, governance, and compliance