AWS has just unveiled the newest AWS Certified Generative AI Developer – Professional AIP-C01 certification. This important credential is for developers and AI professionals who want to advance their careers by building, deploying, and improving high-quality generative AI applications on AWS. This certification confirms your skills in using foundation models and integrating generative AI into practical business solutions.

This certification highlights a developer’s ability to effectively integrate foundation models, retrieval-augmented generation (RAG) architectures, and vector databases into production-ready AI solutions. While the complete exam guide has not yet been released, AWS has shared key insights through its official certification page and training announcement, providing an early opportunity for candidates to begin preparing for this cutting-edge addition to the AWS certification portfolio.

Overview of the AIP-C01 AWS Certified Generative AI Developer Professional

The AWS Certified Generative AI Developer – Professional certification is a game-changer for seasoned professionals aiming to excel in the rapidly evolving field of generative AI. Set to open beta registration on November 18, 2025, this certification offers a comprehensive 204-minute exam consisting of 85 multiple-choice or multiple-response questions. The beta exam will cost $150 USD. It will initially be available in English and Japanese, allowing early candidates to be among the first to validate their expertise in this emerging domain.

With a minimum of two years of cloud experience and at least one year of practical work on generative AI projects, candidates will find this certification invaluable. A strong understanding of AWS compute, storage, networking, and security services is essential, along with knowledge of infrastructure as code (IaC), monitoring, and cost optimization techniques.

This certification underscores AWS’s significant investment in artificial intelligence and machine learning education. Moreover, with the planned retirement of the AWS Certified Machine Learning – Specialty exam in 2026, now is the ideal time to pursue this forward-looking generative AI credential. By earning this certification, you’ll position yourself at the forefront of innovation and opportunity within the evolving landscape of cloud-based AI development.

AWS Certified Generative AI Developer Professional Certification AIP-C01 Exam Guide and AIP-C01 Exam Topics List

Exam Content 

The AWS Certified Generative AI Developer – Professional (AIP-C01) exam consists of scored and unscored questions designed to evaluate your knowledge, skills, and ability to implement GenAI solutions on AWS. Understanding the exam structure and question types will help you create an effective study plan.

The exam includes several types of questions. Familiarity with each type can guide your study approach:

• Multiple Choice: One correct answer and three distractors. Focus on identifying the single best solution.
• Multiple Response: Two or more correct answers among five or more options. All correct responses must be selected to earn credit. Practice identifying all relevant solutions for each scenario.
• Ordering: Lists 3–5 responses for a specific task. You must place the responses in the correct order. This type tests your understanding of process sequences and workflows.
• Matching: Requires pairing 3–7 responses with corresponding prompts. All pairs must be correct to receive credit. Useful for studying relationships between concepts, services, and use cases.

The certification exam uses a pass or fail scoring designation, with results reported on a scaled score range of 100–1,000. The minimum passing score is 750. Scaled scoring helps account for slight differences in difficulty across different exam forms, ensuring consistency in assessment. Section-level feedback may be provided to highlight strengths and weaknesses, but passing the overall exam does not require achieving the minimum score in every section. Each section carries a specific weighting, so some sections contain more questions than others. Candidates should use section feedback strategically to guide focused study, rather than as a definitive measure of mastery in a particular domain.

AWS Certified AI Practitioner AIF-C01 Exam Domains

The official exam guide for the AWS Certified GenAI Developer – Professional AIP-C01 outlines the key domains, topics, and AWS services you should focus on when preparing for the exam. The certification consists of five (5) domains, each with a specific weighting, as shown below:

As shown in the table, Domain 1: Foundation Model Integration, Data Management, and Compliance carries the greatest weight at 31%, making it a critical area of focus. This domain typically assesses your ability to integrate foundation models into AWS-based solutions, manage data pipelines efficiently, and adhere to compliance and governance standards. Due to its broad scope and high percentage, mastering this domain can have a significant impact on your overall exam performance.

However, while Domain 1 holds the largest share, the remaining domains are equally essential to achieving a well-rounded understanding. Domain 2 assesses your ability to implement and integrate generative AI applications using AWS services. At the same time, Domain 3 focuses on ensuring AI safety, security, and governance — crucial components in developing responsible AI systems. Domain 4 emphasizes optimizing the operational efficiency of generative AI workloads, and Domain 5 assesses your ability to test, validate, and troubleshoot models and applications effectively.

To perform successfully on the AIF-C01 exam, it’s important to study each domain holistically rather than in isolation. The domains are interrelated, and proficiency in one often supports your understanding of another. Neglecting any single area could leave gaps in your knowledge and impact your overall readiness.

What Certifications Should You Earn Before Taking the AIP-C01 Exam?

There are no formal prerequisites for the AWS Certified Generative AI Developer – Professional, meaning you can register for and take the exam without holding any prior AWS certifications. However, because this is a professional-level credential, AWS recommends that candidates first build a strong technical foundation across cloud architecture, artificial intelligence, and data engineering. Developing these baseline skills ensures you’ll be better equipped to understand and apply the advanced generative AI concepts covered in the exam.

Earning one or more of the following certifications can significantly enhance your readiness and provide a structured learning path toward mastering generative AI development on AWS:

• AWS Certified AI Practitioner AIF-C01 – This certification is ideal for individuals beginning their journey into artificial intelligence and machine learning. It introduces the fundamental principles of AI, including generative AI, model lifecycle basics, and responsible AI practices. It also helps you understand how AWS services like Amazon Bedrock, SageMaker, and AI-driven APIs fit into broader solution architectures and workflows.

• AWS Certified Solutions Architect – Associate SAA-C03  – This credential focuses on building a deep understanding of AWS’s core infrastructure services and architectural best practices. You’ll gain the ability to design secure, resilient, and cost-optimized systems, which is essential for deploying and scaling AI workloads efficiently in real-world environments.

• AWS Certified Machine Learning Engineer – Associate MLA-C01 – This certification dives into the complete machine learning lifecycle on AWS—from data preparation and model building to training, tuning, deployment, and monitoring. The hands-on experience you gain with SageMaker and other ML tools directly supports the skills required for generative AI solutions, such as fine-tuning foundation models or managing large-scale inference.

• AWS Certified Data Engineer – Associate DEA-C01 – Data serves as the backbone of every AI system, and this certification validates your expertise in data collection, transformation, and storage. You’ll learn to build and optimize data pipelines using AWS analytics services, an essential skill for feeding and maintaining generative AI models and retrieval-augmented generation (RAG) architectures.

By completing one or more of these certifications before attempting the AWS Certified Generative AI Developer – Professional, you will establish a well-rounded skill set that bridges cloud infrastructure, AI development, and data management. This foundation not only increases your chances of success in the exam but also ensures you can design, build, and scale generative AI applications with confidence in production environments.

Where can I find the AIP-C01 Exam Guide and AIP-C01 Exam Topics List?

You can get the official exam guide for the AWS Certified Generative AI Developer Professional AIP-C01 certification exam here: https://tutorialsdojo.com/aws-certified-generative-ai-developer-professional-certification-aip-c01-exam-guide-and-aip-c01-exam-topics-list

The link contains all the relevant exam domains, exam topics, AWS services and other related information for you to ace the AIP-C01 AWS Certified Generative AI Developer Professional exam.

Exam Prep Materials for the AIP-C01 AWS Certification Exam

To have a better understanding on those AWS services stated above, you can enroll in different free or premium digital courses that we recommend to help you fill any gaps in your knowledge through hands-on experience and comprehensive resources:

Free AWS ML Digital Courses

• Digital Courses for Machine Learning available in the Tutorials Dojo Portal (in collaboration with AWS)

To know more about the AIP-C01 exam itself, you can always visit the official AWS Certification page for the AWS Certified Generative AI Developer Professional (AIP-C01). This page provides the most up-to-date information, including the link to schedule your AIF-C01 exam and access to the official Exam Guide.

Validate your knowledge for the AIP-C01 AWS Certified Generative AI Developer Professional Exam

After reviewing the concepts of AI/ML and gaining hands-on experience with the tools and technologies using AWS services, you should now be ready to take the practice exams as a way to gauge your learnings for the real exam. While AWS doesn’t have a sample practice test for free, you can check out our official AIP-C01 sampler. You can also opt to buy the longer AWS sample practice test at aws training, and use the discount coupon you received from any previously taken certification exams.

However, these sample practice tests do not accurately reflect the difficulty of the actual Generative AI Developer Professional exam. That is why we highly encourage using other mock exams such as our very own AWS Certified Generative AI Developer Professional Practice Exams (AIP-C01), which contain high-quality questions with complete explanations on correct and incorrect answers, visual images and diagrams, YouTube videos as needed, and also contain reference links to official AWS documentation as well as our cheat sheets and study guides.

To complement your preparation, make sure to also enroll in our AWS Certified Generative AI Developer Professional Video Course (AIP-C01) — featuring step-by-step video tutorials, service walkthroughs, architecture deep dives, and exam-specific strategy sessions designed to reinforce your knowledge and hands-on skills.

Stay tuned, as the AWS Certified Generative AI Developer Professional Exam Study Guide eBook will be coming soon!