AIP-C01: AWS Certified Generative AI Developer – Professional

Validates the ability to design, build, and deploy generative AI applications on AWS using Amazon Bedrock, RAG pipelines, Agentic solutions, and responsible AI governance.

⏱170 min❓75 (65 scored + 10 unscored)🎯750/1000 to pass 💰$300🎓Professional🏢Pearson VUE

Professional-Level Exam

Deep architectural reasoning required. Questions test hands-on familiarity with the Amazon Bedrock API (InvokeModel, InvokeModelWithResponseStream), OpenSearch Serverless for vector storage, and cost/security trade-offs across all five domains.

Question types:

Multiple choice — one correct response out of four options
Multiple response — two or more correct responses out of five or more options; you must select all correct answers to receive credit

Scoring: Compensatory model — you do not need to pass each domain individually. Only the overall scaled score (750+) matters. Sections with higher weights have more questions.

Note: A few people I know who recently took the exam said that simply reading the questions and answer choices takes a significant amount of time, and that more than 90% of the exam is scenario-based.

Currently Studying ⏳

Target Date: TBD

Notes Prepared: March 2026 · Last Updated: 2026-03-26

Audio Refresher

A podcast-style walkthrough of key exam tactics. Useful as a final pass before practice questions or exam-day review.

Target Candidate

Experience expected: 2+ years building production-grade applications on AWS, general AI/ML or data engineering background, and 1 year hands-on GenAI experience.

Out of scope — do not study these:

Model development and training from scratch
Advanced ML techniques (custom algorithms, hyperparameter tuning theory)
Data engineering and feature engineering pipelines

The exam tests integration and application of GenAI services — not building models.

Before You Practice

Anthropic Model Access

Amazon Bedrock access is generally easier than before, but some accounts still require an explicit access request for Anthropic models such as Claude.

Before using Claude models in your own AWS account:

Open the Model Catalog in the Bedrock console
Request access for the Anthropic model you need
Submit a reasonable use case, such as educational use with an online course

If access is not yet available, use a different supported model until approval is granted.

Paid Account Required

Amazon Bedrock and several newer AWS AI services relevant to AIP-C01 are not part of the AWS Free Tier.

If you plan to practice in your own account:

Expect some real spend
Use a paid AWS account
Set up a billing alarm before you begin

Bedrock Quotas Can Block Hands-on Labs

Some AWS accounts start with very low or even zero on-demand Bedrock quotas.

If you see errors such as ThrottlingException or messages like "Too many tokens per day, please wait before trying again":

Check your Bedrock service quotas
Contact AWS Support if your quota needs to be raised above zero
Keep billing alarms enabled and monitor usage after the increase

Official Exam Domains

Domain	Weight	Focus
Domain 1: FM Integration, Data Management, and Compliance	31%	FM selection, RAG pipelines, vector stores, prompt engineering, compliance
Domain 2: Implementation and Integration	26%	Bedrock Agents, Knowledge Bases, API integration, SageMaker, Comprehend
Domain 3: AI Safety, Security, and Governance	20%	Guardrails, IAM, VPC endpoints, responsible AI, traceability
Domain 4: Operational Efficiency and Optimization	12%	Provisioned Throughput, token efficiency, batch inference
Domain 5: Testing, Validation, and Troubleshooting	11%	Model evaluation, CloudWatch monitoring, troubleshooting

Study Progress

Official Resources

Official Docs

Background Reading

External Resources

Audio Guide

Start Study Notes → · Cheatsheet → · Visual Study Kit → · Exam Guide →

AIP-C01: AWS Certified Generative AI Developer – Professional ​

Audio Refresher ​

Before You Practice ​

Official Exam Domains ​

Study Progress ​

AIP-C01 Study Progress

Official Resources ​

Official Docs ​

Background Reading ​

External Resources ​

Audio Guide ​