AWS Generative AI Developer Professional AIP-C01 Exams 2026

Practice Exam course Disclaimer

• Monthly content updates

• Based Latest Official Exam guide

• Regular amendments made based on User feedback

• Serves as a revision for those preparing for Certification

• Not a questions dump but covers all domains to make you confident in actual exam

Why Choose this Practice Exams Course?

• Up-to-Date Questions: Constantly modified to reflect the latest exam syllabus, our questions mirror the difficulty, format, and content areas of the actual exam.

• Regular Additions: The exams set is constantly updated to reflect the latest exam changes and ensure you have the most up-to-date preparation resources.

• Complete Coverage: Tests span the entire breadth of the certification exam.
  

---Intro---
Are you ready to validate your advanced skills in designing and implementing cutting-edge Generative AI solutions on Amazon Web Services?

The AWS Certified Generative AI Developer - Professional (AIP-C01) certification is the gold standard for GenAI experts, and this course is your complete preparation guide.

This intensive program goes beyond theory, focusing on the practical, production-ready implementation of Generative AI applications using services like Amazon Bedrock, Amazon SageMaker, and various AWS compute, storage, and networking resources.

By the end of this course, you will not only be fully prepared to pass the challenging AIP-C01 exam but also possess the advanced technical expertise to drive tangible business results with secure, cost-optimized, and responsible GenAI systems.

---Domains Covered---

This course is meticulously structured around the five official AIP-C01 exam domains:

• Domain 1: Foundation Model Integration, Data Management, and Compliance (31%)

  • Designing complex GenAI architectures using appropriate Foundation Models (FMs).

  • Mastering Retrieval-Augmented Generation (RAG) architectures with vector stores (e.g., OpenSearch, Aurora with pgvector) and Amazon Bedrock Knowledge Bases.

  • Implementing robust data pipelines for FM consumption, including data validation and multimodal processing.

  • Advanced techniques for FM customization, including Fine-Tuning and LoRA (Low-Rank Adaptation) deployment on SageMaker.

• Domain 2: Implementation and Integration (26%)

  • Applying advanced Prompt Engineering and Prompt Management techniques (e.g., Bedrock Prompt Management).

  • Building intelligent, autonomous Agentic AI solutions using Amazon Bedrock Agents for complex task automation and tool integration.

  • Integrating GenAI applications seamlessly with enterprise systems using services like API Gateway and AWS Step Functions.

• Domain 3: AI Safety, Security, and Governance (20%)

  • Implementing Responsible AI practices, including fairness, safety, and transparency.

  • Configuring and enforcing responsible output using Amazon Bedrock Guardrails.

  • Designing secure data and application architectures with IAM, VPC endpoints, and PII detection/masking (e.g., Amazon Comprehend).

• Domain 4: Operational Efficiency and Optimization (12%)

  • Optimizing GenAI applications for cost, performance, and latency.

  • Implementing caching, batch inference, and multi-tier model selection strategies.

  • Designing scalable deployment and autoscaling patterns for inference endpoints.

• Domain 5: Testing, Validation, and Troubleshooting (11%)

  • Implementing model evaluation systems for quality, hallucination detection, and prompt-based testing.

  • Troubleshooting complex GenAI applications using AWS observability tools like CloudWatch and X-Ray.

  
  

---Requirements---

• Solid understanding of core AWS services (EC2, S3, Lambda, IAM, Networking).

• Prior experience with AI/ML or data engineering concepts is highly recommended.

• Proficiency in a programming language (Python is used for hands-on labs).

• A paid AWS account for hands-on practice (optional but highly recommended).

Ready to join the elite group of certified Generative AI developers? Enroll now and conquer the AIP-C01 exam!

---About Certification Exam---

Exam Duration: 180 minutes (3 hours)

Number of Questions: 75 questions (A mix of scored and unscored questions)

Question Format: Multiple-choice, multiple-response, matching, and ordering questions

Passing Score: 750 on a scale of 100–1,000

Disclaimer: These are practice exams meant for learners to test their and not exam dumps for those expecting exam questions to appear from these sets in actual certification.