The target candidate should have 2 or more years of experience building production grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience, and 1 year of hands-on experience implementing generative AI solutions. The target candidate should have the following AWS knowledge:
The AWS Certified Generative AI Developer - Professional positions candidates for significant career growth in a rapidly expanding market where 1 in 4 technology jobs now require AI skills according to the Wall Street Journal. As companies shift toward integrating AI into existing roles rather than creating entirely new AI-focused positions, this certification demonstrates you can deliver practical AI solutions that drive business value.
You are not required to earn any specific certifications prior to preparing for this certification. However, candidates could benefit from earning the AWS Certified AI Practitioner, AWS Certified Solutions Architect - Associate, AWS Certified Machine Learning Engineer - Associate, and/or AWS Certified Data Engineer - Associate before attempting the AWS Certified Generative AI Developer - Professional.
AWS Certification uses beta exams to validate performance of exam questions before the questions are used on standard versions of an exam. An exam can go through the beta process before the exam is launched for the first time. AWS Certification can also complete a beta process when an exam content outline changes. Candidates who pass the beta exam will be among the first to hold the new certification. You can find more information about beta exams on the AWS Certification website. The section on “Beta exams” includes information regarding the differences between the beta version and the standard version of an exam.