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AWS Generative AI Developer - Professional Exam Guide

Everything you need to know about the AWS Generative AI Developer - Professional certification exam, from study strategies to exam day tips.

Exam Information

180 minutes

Duration

65 questions

Questions

750/1000

Passing Score

$300 USD

Exam Cost

Recommended Study Plan

Week 1-2

Amazon Bedrock Foundations

Foundation Model Integration (31%)

15-20 hours

Amazon Bedrock model catalog and API invocation
Prompt engineering: zero-shot, few-shot, chain-of-thought
Bedrock Knowledge Bases and RAG architecture
Foundation model selection criteria (capability, cost, latency)

Recommended Resources:

Amazon Bedrock Documentation

AWS Generative AI Workshop

Week 3-4

Bedrock Agents & Implementation

Implementation and Integration (26%)

20-25 hours

Bedrock Agents for multi-step task orchestration
Tool use (function calling) and action groups
Vector databases: OpenSearch Serverless, pgvector
LangChain / LlamaIndex integration with Bedrock

Recommended Resources:

Bedrock Agents Developer Guide

RAG Workshop

Week 5-6

AI Safety, Security & Governance

AI Safety, Security, and Governance (20%)

15-20 hours

Bedrock Guardrails: topic denial, PII redaction, grounding
IAM permissions for Bedrock and resource policies
Responsible AI: fairness, explainability, hallucination mitigation
CloudTrail audit logging and VPC endpoints for Bedrock

Recommended Resources:

Bedrock Guardrails Documentation

AWS Responsible AI

Week 7-8

Optimization, Testing & Validation

Operational Efficiency (12%) + Testing & Validation (11%)

15-20 hours

Provisioned Throughput vs on-demand pricing
Bedrock Model Evaluation for automated benchmarking
Context window management and token optimization
A/B testing models and prompt regression testing

Recommended Resources:

Bedrock Model Evaluation

Practice Exams

Exam Tips & Strategies

Master Amazon Bedrock APIs

Bedrock InvokeModel, Converse API, and streaming responses are heavily tested. Know when to use each and how to handle multi-turn conversations.

Manage Your 180 Minutes

You have about 2.5 minutes per question. Flag complex scenario questions and return — many questions test real-world architectural judgment.

Deep-Dive Bedrock Guardrails

Guardrails are a major exam topic. Know topic denial policies, content filters, PII redaction, grounding checks, and how to apply them to agents and flows.

Understand RAG vs Fine-Tuning

Know when to use RAG (dynamic data, cost-effective) vs fine-tuning (task-specific style/behavior) vs prompt engineering. This trade-off appears in many scenario questions.

Key Topics to Master

Amazon Bedrock APIs

Bedrock Knowledge Bases

Bedrock Agents

RAG Architecture

Bedrock Guardrails

Foundation Model Selection

Prompt Engineering

Vector Databases

Bedrock Flows

Fine-tuning vs RAG

Bedrock Model Evaluation

Provisioned Throughput

AI Safety & Responsible AI

LLM Observability

For the most up-to-date exam information, visit the official exam guide.

View Official Exam Guide

Back to Generative AI Developer Professional

AWS Generative AI Developer - Professional Exam Guide

Everything you need to know about the AWS Generative AI Developer - Professional certification exam, from study strategies to exam day tips.

Exam Information

180 minutes

Duration

65 questions

Questions

750/1000

Passing Score

$300 USD

Exam Cost

Recommended Study Plan

Week 1-2

Amazon Bedrock Foundations

Foundation Model Integration (31%)

15-20 hours

Amazon Bedrock model catalog and API invocation
Prompt engineering: zero-shot, few-shot, chain-of-thought
Bedrock Knowledge Bases and RAG architecture
Foundation model selection criteria (capability, cost, latency)

Recommended Resources:

Amazon Bedrock Documentation

AWS Generative AI Workshop

Week 3-4

Bedrock Agents & Implementation

Implementation and Integration (26%)

20-25 hours

Bedrock Agents for multi-step task orchestration
Tool use (function calling) and action groups
Vector databases: OpenSearch Serverless, pgvector
LangChain / LlamaIndex integration with Bedrock

Recommended Resources:

Bedrock Agents Developer Guide

RAG Workshop

Week 5-6

AI Safety, Security & Governance

AI Safety, Security, and Governance (20%)

15-20 hours

Bedrock Guardrails: topic denial, PII redaction, grounding
IAM permissions for Bedrock and resource policies
Responsible AI: fairness, explainability, hallucination mitigation
CloudTrail audit logging and VPC endpoints for Bedrock

Recommended Resources:

Bedrock Guardrails Documentation

AWS Responsible AI

Week 7-8

Optimization, Testing & Validation

Operational Efficiency (12%) + Testing & Validation (11%)

15-20 hours

Provisioned Throughput vs on-demand pricing
Bedrock Model Evaluation for automated benchmarking
Context window management and token optimization
A/B testing models and prompt regression testing

Recommended Resources:

Bedrock Model Evaluation

Practice Exams

Exam Tips & Strategies

Master Amazon Bedrock APIs

Bedrock InvokeModel, Converse API, and streaming responses are heavily tested. Know when to use each and how to handle multi-turn conversations.

Manage Your 180 Minutes

You have about 2.5 minutes per question. Flag complex scenario questions and return — many questions test real-world architectural judgment.

Deep-Dive Bedrock Guardrails

Guardrails are a major exam topic. Know topic denial policies, content filters, PII redaction, grounding checks, and how to apply them to agents and flows.

Understand RAG vs Fine-Tuning

Know when to use RAG (dynamic data, cost-effective) vs fine-tuning (task-specific style/behavior) vs prompt engineering. This trade-off appears in many scenario questions.

Key Topics to Master

Amazon Bedrock APIs

Bedrock Knowledge Bases

Bedrock Agents

RAG Architecture

Bedrock Guardrails

Foundation Model Selection

Prompt Engineering

Vector Databases

Bedrock Flows

Fine-tuning vs RAG

Bedrock Model Evaluation

Provisioned Throughput

AI Safety & Responsible AI

LLM Observability

For the most up-to-date exam information, visit the official exam guide.

View Official Exam Guide

Quick Feedback

AWS Generative AI Developer - Professional Exam Guide

Exam Information

Recommended Study Plan

Exam Tips & Strategies

Master Amazon Bedrock APIs

Manage Your 180 Minutes

Deep-Dive Bedrock Guardrails

Understand RAG vs Fine-Tuning

Key Topics to Master

AWS Generative AI Developer - Professional Exam Guide

Exam Information

Recommended Study Plan

Exam Tips & Strategies

Master Amazon Bedrock APIs

Manage Your 180 Minutes

Deep-Dive Bedrock Guardrails

Understand RAG vs Fine-Tuning

Key Topics to Master