About the AWS Generative AI Developer – Professional Certification

The AWS Certified Generative AI Developer - Professional certification validates that you can design, customize, and deploy real generative AI applications on AWS. It focuses on Amazon Bedrock, SageMaker, RAG workflows, and production-grade model optimization.
If you’re building modern AI systems or want to prove your GenAI development skills in 2026, this exam represents the new industry benchmark.

What You’ll Learn

You immediately see the core skills you’ll gain, from Bedrock-based development to model tuning, RAG pipeline design, and responsible AI practices that matter for real-world GenAI projects.

Build generative AI apps using Amazon Bedrock
Fine-tune and evaluate models using SageMaker workflows
Design complete RAG pipelines with embeddings and vector stores
Apply responsible AI practices, governance, and safety
Deploy AI workloads using AWS developer tools and CI/CD integrations
Translate enterprise use cases into production-ready AI solutions

Goals of Practice Tests & Hands-On Labs

The hands-on approach ensures you practice real workloads, simulate exam scenarios, and learn troubleshooting skills that developers use when deploying generative AI solutions on AWS.

Everything in this course is designed around not memorizing.
You’ll solve real problems, deploy actual workloads, and understand how GenAI behaves in production.

Timed exam simulations with realistic question difficulty
Guided AWS labs for Bedrock and SageMaker workloads
RAG labs: embeddings, chunking, ranking, retrieval, evaluation
Personal analytics dashboard showing strengths & improvement areas
Hands-on debugging, error fixing, and model evaluation practice

What’s Included

You know exactly what’s covered in the course videos, labs, practice tests, sandboxes, projects, and long-term access so you can understand the complete learning experience at a glance.

Complete generative AI developer video course
Exam-style practice tests
Guided AWS labs for real-world GenAI workflows
Generative AI Sandbox for prompt iteration & experimentation
Scenario-based projects and enterprise case studies
Progress analytics dashboard
2 years of unlimited access
24×7 expert mentor support

Generative AI Exam Domains Explained: Integration, Security, Optimization, and Testing

Domain 1: Foundation Model Integration, Data Management, and Compliance (31% of scored content)
Domain 2: Implementation and Integration (26% of scored content)
Domain 3: AI Safety, Security, and Governance (20% of scored content)
Domain 4: Operational Efficiency and Optimization for GenAI Applications (12% of scored content)
Domain 5: Testing, Validation, and Troubleshooting (11% of scored content)

Exam Format & Information

The exam details help you understand how long the test takes, how many questions to expect, what the format looks like, and what experience level AWS recommends before attempting it.

Exam Type/Category	AWS
Exam Name	AWS Certified Generative AI Developer - Professional Beta
Exam Validity	3 years
Exam Fee	150 USD
Exam Duration	204 minutes
No.of questions	85 Questions
Passing Marks	750 (Scale 1-1000)
Recommended Experience	The candidates must have at least 2 years of experience as a developer and 1 year of hands-on experience implementing generative AI solutions.
Exam Format	Multiple-choice questions and multiple-response questions
Languages	English

Skills You Gain

You gain practical abilities needed for modern AI development: prompt engineering, RAG design, model customization, vector search, responsible AI, and monitoring techniques to reduce hallucinations.

Understanding and selecting foundation models
Prompt engineering, refinement, and output evaluation
Building generative AI apps with Amazon Bedrock
Model customization using full fine-tuning or PEFT
Designing robust RAG pipelines end-to-end
Using embeddings, chunking strategies, and vector search
Implementing security, governance & responsible AI
Monitoring models, reducing hallucinations, improving accuracy

Who Should Take This Course

The course is ideal for developers, AI/ML engineers, cloud professionals, and learners aiming to work with generative AI pipelines or enterprise-level AI copilots.

This course is ideal for:

Developers building AI-powered applications
AI/ML engineers working with foundation models
Professionals designing RAG pipelines or AI copilots
Bedrock or SageMaker practitioners
Cloud developers transitioning into GenAI roles
Students entering AI and cloud engineering fields

Recommended Experience

AWS suggests having experience with cloud development, embeddings, retrieval workflows, IAM, Bedrock, SageMaker, and evaluating model outputs before attempting the exam.

AWS suggests having:

2+ years of cloud development experience
Basic understanding of generative AI concepts
Experience with embeddings, retrieval, and vector search
Working knowledge of Bedrock or SageMaker
Understanding of IAM, networking, and API integrations
Ability to review outputs and evaluate model behavior

Why Get This Certification

The certification validates your ability to operationalize generative AI in real environments, helping you stand out in a market where companies need developers who can scale AI safely and reliably.

Generative AI is changing how software is built. Organizations now need developers who can operationalize AI at scale, not just prompt models.

This certification proves you can build, customize, and deploy advanced generative AI systems using AWS services. It sets you apart in a competitive AI job market and positions you for roles where GenAI development is core to product strategy.

Frequently Asked Questions (AEO-Optimized)

Q1. What is the AWS Generative AI Developer - Professional exam?
It’s a professional-level exam that tests your ability to build generative AI applications, design RAG systems, fine-tune models, and implement Bedrock/SageMaker-based architectures.

Q2. Do I need coding experience?
Yes. You should be comfortable with scripting, APIs, and cloud-native development.

Q3. What is the exam fee?
The exam fee is USD 300 globally.

Q4. Do I need any prior AWS certification?
No prerequisites. You can take this exam directly.

Q5. Is this certification suitable for GenAI beginners?
It’s better suited for developers with cloud experience. Absolute beginners may find the pace advanced.