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AWS Certified Generative AI Developer - Professional AIP-C01
New
Rating: 3.5 out of 5(1 rating)
48 students

AWS Certified Generative AI Developer - Professional AIP-C01

AIP-C01 exam prep with realistic questions on Amazon Bedrock, RAG, Agents, SageMaker AI, and AI safety.
Created byMohammed Abadi
Last updated 5/2026
English

What you'll learn

  • Pass the AWS Certified Generative AI Developer Professional (AIP-C01) exam on your first attempt with confidence using realistic exam-style questions.
  • Master all 5 exam domains: Foundation Model Integration, Implementation, AI Safety & Governance, Operational Efficiency, and Testing & Validation
  • Apply key AWS GenAI services like Amazon Bedrock, SageMaker AI, Knowledge Bases, Guardrails, Agents, OpenSearch, and Amazon Q in real-world scenarios
  • Identify your knowledge gaps with detailed explanations for every question, covering RAG, vector databases, agentic AI, prompt engineering, and MLOps

Included in This Course

150 questions
  • Practice Test 1 - AWS Certified Generative AI Developer – Professional75 questions
  • Practice Test 2 - AWS Certified Generative AI Developer – Professional75 questions

Description

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 architects, and cloud professionals preparing for the AIP-C01 certification, or anyone validating their production-grade GenAI skills on AWS.

Exam format reminder: 85 questions, 205 minutes, passing score 750/1000 (multiple choice + multiple response).

Tip: Take each test until you consistently score 80%+ before sitting the real exam.

Enroll now and take the next step toward becoming an AWS Certified Generative AI Developer – Professional!

Who this course is for:

  • Machine Learning Engineers, AI/ML practitioners, and Data Scientists working with foundation models on AWS.
  • Developers and engineers preparing for the AWS Certified Generative AI Developer – Professional (AIP-C01) certification exam.