📋 2026 Edition · Updated November 2026

AWS Certified Generative AI Developer - Professional (AIP-C01) Study Guide 2026

Q: How long does it take to prepare for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam?

Most candidates with relevant background take 4-8 weeks studying 1-2 hours daily. Beginners may need longer depending on their current knowledge and experience.

Q: What is included in the AWS Certified Generative AI Developer - Professional (AIP-C01) study guide?

The study guide covers the exam syllabus, domain-wise topics, study roadmap, preparation strategy, exam tips and links to practice, mock exams, readiness testing and other preparation resources.

Q: Is this AWS Certified Generative AI Developer - Professional (AIP-C01) study guide enough to pass the exam?

The study guide is designed to organize your preparation around the exam syllabus and domains. Candidates should also use practice questions and timed simulations to test their ability to apply what they have learned.

Q: Can beginners use this AWS Certified Generative AI Developer - Professional (AIP-C01) study guide?

Yes. The guide can be used to understand the exam domains, identify the topics to study and follow a structured preparation roadmap.

Q: How many practice questions should I do?

There is no universal number that guarantees readiness. Focus on understanding why answers are correct or incorrect and use timed practice to identify gaps in your preparation.

Q: How can I identify my weak areas?

Use the Edureify readiness diagnostic to assess your preparation and identify weaker exam domains before deciding where to spend additional study time.

Complete exam coverage for the AWS Certified Generative AI Developer - Professional (AIP-C01): syllabus, domains, key topics, study plan and practical exam preparation strategy.

Questions

180 min

Duration

750

Passing score

Domains

Start Practice Test & Get My Study Plan Take Readiness Diagnostic

Your readiness score - take the free diagnostic to unlock your personalised analysis

Overall readiness (locked)

Foundation Model Integration, Data Management, and Compliance

Implementation and Integration

AI Safety, Security, and Governance

Operational Efficiency and Optimization for GenAI Applications

Testing, Validation, and Troubleshooting

Run 10-Minute Free Diagnostic →

Exam at a Glance

AWS Certified Generative AI Developer - Professional (AIP-C01) Exam Overview

Key facts about the AWS Certified Generative AI Developer - Professional (AIP-C01) exam structure, format and scoring.

🆔

aws-generative-ai-developer-professional

Exam code

📝

75 questions

Total questions

⏱

180 minutes

Duration

🎯

750

Passing score

📋

5 domains

Exam domains

🏆

Certification

Credential type

ℹ️

Scoring method: Results are reported as a scaled score from 100 to 1,000 using a compensatory model, so only the overall score must reach the minimum; section-level feedback is informational. Unscored pretest items are not identified and do not count; unanswered questions are scored as incorrect with no penalty for guessing. AIP-C01 has 65 scored and 10 unscored questions and a minimum passing score of 750.. The exam may include unscored pilot questions - treat every question seriously.

Focus Areas

What should you study for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam?

Start with the domains that make up the AWS Certified Generative AI Developer - Professional (AIP-C01) exam. Use the detailed syllabus below to work through the individual topics.

⚠️

Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.

🔐

Foundation Model Integration, Data Management, and Compliance (31%)

Designing generative AI solutions, selecting foundation models, preparing data, and building vector stores, retrieval and prompt governance.

🏗

Implementation and Integration (26%)

Implementing agentic AI, model deployment, enterprise integration, FM API integration and developer tooling.

⚡

AI Safety, Security, and Governance (20%)

Implementing input and output safety controls, data privacy, governance and responsible AI principles.

💰

Operational Efficiency and Optimization for GenAI Applications (12%)

Optimizing cost, performance and monitoring for generative AI applications.

🔄

Testing, Validation, and Troubleshooting (11%)

Evaluating generative AI systems and troubleshooting content, integration, prompt and retrieval issues.

Full Syllabus

AWS Certified Generative AI Developer - Professional (AIP-C01) Exam Syllabus and Topics

The AWS Certified Generative AI Developer - Professional (AIP-C01) exam is divided into 5 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Solution Design and Model Selection

Well-Architected Generative AI Lens

Proof of concept with Amazon Bedrock

Foundation model selection and benchmarking

Model switching with AppConfig and API Gateway

Cross-Region inference and graceful degradation

Custom model lifecycle with SageMaker AI Model Registry

Data Pipelines for FM Consumption

AWS Glue Data Quality and SageMaker Data Wrangler

Multimodal data processing

Input formatting for Bedrock APIs

Entity extraction with Amazon Comprehend

Vector Stores and Retrieval

Amazon Bedrock Knowledge Bases

Amazon OpenSearch Service and Aurora pgvector

Fixed-size and hierarchical chunking

Amazon Titan embeddings

Hybrid search and reranking

Query expansion and decomposition

Prompt Engineering and Governance

Amazon Bedrock Prompt Management

Bedrock Prompt Flows and prompt chaining

Conversation context with DynamoDB

Prompt versioning and approval

Prompt regression testing

~23 questions

31 marks

31% of exam weight

Agentic AI and Tools

Strands Agents and AWS Agent Squad

Model Context Protocol (MCP) servers on Lambda and ECS

ReAct patterns with Step Functions

Stopping conditions, timeouts and circuit breakers

Human-in-the-loop approvals

Model Deployment

On-demand Bedrock vs. provisioned throughput

SageMaker AI endpoints

Container optimization for GPU and memory

Model cascading with smaller models

Enterprise and API Integration

API Gateway, EventBridge and webhook integrations

Bedrock streaming APIs and WebSockets

Asynchronous processing with SQS

Exponential backoff and rate limiting

CI/CD and generative AI gateways

Application Patterns and Developer Tools

AWS Amplify front ends

Bedrock Data Automation

Amazon Q Developer

Troubleshooting with CloudWatch Logs Insights and X-Ray

~20 questions

26 marks

26% of exam weight

Input and Output Safety

Amazon Bedrock Guardrails

Prompt injection and jailbreak detection

Hallucination reduction with grounding

Defense in depth with Comprehend and Lambda validation

Data Security and Privacy

VPC endpoints and IAM

AWS Lake Formation access control

PII detection with Comprehend and Amazon Macie

Data masking and retention policies

Governance and Responsible AI

SageMaker AI model cards

Lineage with the Glue Data Catalog

CloudTrail auditing

Bias and drift monitoring

Bedrock agent tracing for transparency

LLM-as-a-judge fairness evaluation

~15 questions

20 marks

20% of exam weight

Cost Optimization

Token estimation and tracking

Context window optimization

Tiered model selection

Prompt caching and semantic caching

Batch inference

Performance Optimization

Latency-optimized models and streaming

Temperature, top-k and top-p tuning

Vector index optimization

Concurrency management

GenAI Monitoring

Bedrock model invocation logging

Token usage and cost anomaly tracking

Hallucination rate and drift metrics

Multi-agent and tool call monitoring

~9 questions

12 marks

12% of exam weight

Evaluation Systems

Amazon Bedrock Model Evaluations

RAG evaluation and retrieval relevance scoring

Agent evaluation

A/B and canary testing

Automated quality gates

Troubleshooting GenAI Applications

Context window overflow

Chunking and embedding quality issues

Prompt version comparison

X-Ray and CloudWatch diagnosis

~8 questions

11 marks

11% of exam weight

Study Plan

AWS Certified Generative AI Developer - Professional (AIP-C01) Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan →

Weeks 1-2

Core Services + Highest-Weighted Domain

Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.

Official exam guideDomain 1 completeCore conceptsPractice questions

Week 3

Domain 2 - Hands-on Practice

Focus on scenario-based study and reinforce concepts through practical application where applicable.

Domain 2Scenario walkthroughsHands-on practicePractice questions

Week 4

Domain 3 - Deeper Concepts

Work through complex concepts and decision scenarios.

Domain 3Scenario drillsPractice examReview

Week 5

Remaining Domains + Weak Area Targeting

Identify your weaker domains and spend focused time closing those gaps.

Remaining domainsDiagnosticTargeted reviewStudy notes

Week 6

Full Simulations + Final Preparation

Use timed simulations to test your preparation and review the reasoning behind incorrect answers.

Full mock examsWrong-answer reviewFinal reviewExam logistics

Exam Strategy

Tips to pass AWS Certified Generative AI Developer - Professional (AIP-C01) on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓

Foundation Model Integration, Data Management, and Compliance is 31%: master Bedrock Knowledge Bases, chunking strategies, embeddings and vector store choices.

🔍

Implementation and Integration (26%) emphasises agents and APIs; know Strands Agents, MCP, Bedrock streaming and resilience patterns such as backoff and circuit breakers.

⏭

Model training and feature engineering are out of scope; spend that time on safety, cost optimization and troubleshooting, which together are 43%.

📊

Multiple-response items need every correct option for credit, so eliminate distractors carefully before selecting.

🔁

Pace at about 2.4 minutes per question across 75 items in 180 minutes.

Recommended Resources

AWS Certified Generative AI Developer - Professional (AIP-C01) Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official

Official Exam Guide

Start with the authoritative exam objectives and blueprint.

→ Vendor website

Practice Tests

AWS Certified Generative AI Developer - Professional (AIP-C01) Practice Test

Practice questions with explanations and domain-level performance analysis.

→ Start free practice test

Mock Exam

AWS Certified Generative AI Developer - Professional (AIP-C01) Mock Exam

Timed preparation under realistic exam-style conditions.

→ Take free mock exam

Training

AWS Certified Generative AI Developer - Professional (AIP-C01) Certification Training

Structured preparation with personalised learning support and adaptive practice.

→ AWS Certified Generative AI Developer - Professional (AIP-C01) certification online training

AI Tutor

AWS Certified Generative AI Developer - Professional (AIP-C01) AI Tutor

Get help understanding concepts and work on weak areas with AI-powered learning support.

→ Try AWS Certified Generative AI Developer - Professional (AIP-C01) AI tutor

Reference

AWS Certified Generative AI Developer - Professional (AIP-C01) Cheat Sheet

Quick-reference summaries for final revision.

→ Get free cheat sheet

Diagnostic

AWS Certified Generative AI Developer - Professional (AIP-C01) Readiness Test

Assess your preparation and identify weaker exam domains.

→ Check my readiness

⚠️

Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.

Reviews

What candidates say after passing

FAQ

Frequently asked questions about AWS Certified Generative AI Developer - Professional (AIP-C01)

How long does it take to prepare for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam?

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.

What is included in the AWS Certified Generative AI Developer - Professional (AIP-C01) study guide?

The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.

Is this AWS Certified Generative AI Developer - Professional (AIP-C01) study guide enough to pass the exam?

The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.

Can beginners use this AWS Certified Generative AI Developer - Professional (AIP-C01) study guide?

Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.

How can I identify my weak areas?

Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.

How does AI improve my preparation?

Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

Ready to prepare for AWS Certified Generative AI Developer - Professional (AIP-C01)?

Find your weak areas and build a more focused preparation plan.

Start My Free Diagnostic →

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AWS Certified Generative AI Developer - Professional (AIP-C01) Study Guide 2026

AWS Certified Generative AI Developer - Professional (AIP-C01) Exam Overview

What should you study for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam?

AWS Certified Generative AI Developer - Professional (AIP-C01) Exam Syllabus and Topics

Know if you'll pass AWS Certified Generative AI Developer - Professional (AIP-C01) before exam day

AWS Certified Generative AI Developer - Professional (AIP-C01) Structured Study Roadmap

Tips to pass AWS Certified Generative AI Developer - Professional (AIP-C01) on your first attempt

AWS Certified Generative AI Developer - Professional (AIP-C01) Study Resources

What candidates say after passing

Frequently asked questions about AWS Certified Generative AI Developer - Professional (AIP-C01)

Ready to prepare for AWS Certified Generative AI Developer - Professional (AIP-C01)?

Related Artificial Intelligence & Machine Learning Certification Study Guides