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AWS Certified Generative AI Developer - Professional AIP-C01
86 students
AWS Certified Generative AI Developer - Professional AIP-C01
Master Amazon Bedrock, RAG architectures, agentic AI & prompt engineering for the AWS AIP-C01 certification exam
Created byAvineet Agarwalla
Last updated 5/2026
English
What you'll learn
- Design and implement RAG architectures, vector stores, and knowledge bases using Amazon Bedrock to integrate foundation models into production applications
- Apply advanced prompt engineering techniques and develop agentic AI solutions using AWS services for real-world GenAI workflows and business integrations
- Implement security, governance, and Responsible AI practices for GenAI applications while ensuring compliance with regulatory and ethical standards
- Optimize GenAI applications for cost, performance, and business value using AWS monitoring, observability, and operational efficiency best practices
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Included in This Course
165 questions
Description
Prepare for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam with comprehensive practice tests designed to mirror the actual certification exam. This course provides authentic exam-style questions covering all five domains tested on the AIP-C01 certification.
What Makes This Course Different:
Our practice exams are meticulously crafted based on the official AWS exam guide, ensuring 100% alignment with the actual test content. Each question includes detailed explanations with references to AWS documentation, helping you understand not just the correct answers, but the underlying concepts.
Exam Coverage:
Foundation Model Integration (31%): Design GenAI solutions, select and configure foundation models, implement RAG architectures, and manage data pipelines using Amazon Bedrock
Implementation and Integration (26%): Build knowledge bases, develop agentic AI solutions, implement prompt engineering techniques, and integrate FMs into production applications
AI Safety, Security & Governance (20%): Apply Responsible AI practices, implement guardrails, ensure compliance, and protect against content safety risks
Operational Efficiency (12%): Optimize costs, performance, and scalability using AWS monitoring and observability services
Testing & Troubleshooting (11%): Evaluate FM performance, implement quality assurance, and resolve GenAI application issues
Key Technologies Covered:
Amazon Bedrock Knowledge Bases, Bedrock Agents, vector databases (OpenSearch Service, Aurora, RDS PostgreSQL), AWS Step Functions, Lambda, API Gateway, SageMaker, CloudWatch, and other essential AWS services for GenAI development.
Who Should Take This Course:
This course is designed for GenAI developers and cloud architects with 2+ years of production AWS experience and 1 year of hands-on GenAI implementation who are preparing for the professional-level AIP-C01 certification.
Practice Exam Format:
Questions mirror the actual exam structure including multiple choice, multiple response, ordering, and matching questions. Each practice test helps you identify knowledge gaps and build confidence before taking the official certification exam.
Who this course is for:
- GenAI developers and cloud architects with production AWS experience who want to validate their ability to integrate foundation models into enterprise applications and prepare for the AIP-C01 professional certification