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AWS Certified Generative AI Developer – Professional
About the Certification
This is a new and advanced AWS certification for 2025, designed for professionals specializing in Generative AI. It focuses on building, training, deploying, and optimizing modern AI models using AWS Bedrock, Amazon SageMaker, and Large Language Models (LLMs). The certification validates your ability to develop enterprise-grade Generative AI solutions and represents the specialization track for Generative AI experts on AWS.
Main Curriculum
The curriculum is divided into four main sections
- Generative AI Fundamentals and AWS Services
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- Generative AI and LLM concepts
- Generative AI use cases
- AWS services for GenAI (Amazon Bedrock, SageMaker)
- Selecting the right models for business needs
- Model Customization, Prompt Engineering, and Evaluation
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- Advanced Prompt Engineering
- Fine-tuning and Retrieval-Augmented Generation (RAG)
- Model evaluation and output quality
- Improving accuracy and reducing hallucinations
- Building and Integrating Generative AI Applications
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- Designing GenAI applications on AWS
- Integration with APIs and AWS services
- Data management and workflow orchestration
- Deploying solutions at scale
- Responsible AI, Security, and Operations
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- Responsible AI and Ethical AI practices
- Data protection and privacy
- Model and application security
- Monitoring, operations, and cost optimization
Exam Details
- Exam code: AIP-C01
- Duration: 180 minutes
- Number of questions: 85
- Question types: Multiple-choice, multiple-response, ordering, and matching
- Language: English
- Passing score: 750 out of 1000
- Exam fee: USD 150 (may vary by country and may include taxes)
- Certification validity: 3 years
Do I need certifications before it ?
No, not at all.
However, it is recommended that candidates have a foundational understanding of Machine Learning (ML), hands-on experience with AWS services, and prior exposure to Large Language Models (LLMs).
This background significantly improves comprehension and practical application of the material.
Which certifications are recommended after this one ?
Not mandatory. However, for professionals seeking a strong path in developing Generative AI solutions on AWS especially in model customization, enterprise integration, and applying best practices the AWS Certified Generative AI Developer – Professional certification is the strongest next step.
What are the main career uses of the AWS Certified Generative AI Developer – Professional ?
- Advanced Generative AI (LLMs / Fine-Tuning / RAG) for deep professional expertise in GenAI model development.
- AWS Machine Learning – Specialty to integrate GenAI solutions within the broader AWS ML ecosystem.
- MLOps / LLMOps for operating, monitoring, and scaling AI models in production environments.
- AI Architecture / Solutions Architect (AI-focused) for designing enterprise GenAI solutions.
- Data Engineering (Glue / Redshift / Lakehouse) to strengthen the data foundations powering GenAI systems.
- AI Security & Governance to specialize in model security, privacy, and ethical compliance.
Your Step Toward Mastery in Generative AI Development :
This certification represents the highest level of Generative AI specialization on AWS, ideal for professionals aiming to build advanced, scalable, and enterprise-ready AI solutions.
Who is this certification suitable for ?
- Data Engineers, ML Engineers, and AI Engineers.
- Developers building solutions based on LLMs.
- Professionals interested in building chatbots, content generators, and retrieval systems.
- Organizations adopting GenAI and seeking qualified experts.