AWS Certified AI Business Strategist

Professionals who drive or aspire to drive AI outcomes in their organization, whether they're identifying opportunities, evaluating investments, governing adoption, or scaling AI initiatives. This includes product and program managers, sales and business development individuals, line-of-business leaders, consultants, business analysts, and marketing professionals.

The target candidate should have a basic familiarity with AI concepts, and a general awareness of what AWS AI and machine learning (ML) services, AWS frameworks, guidelines, and tools offer at a strategic level (without needing hands-on experience with the services). Six months of experience working with or alongside AI initiatives is recommended. No coding, AWS implementation experience, or other AWS certifications are required. 

See exam guide for more details on recommended knowledge.

More companies are integrating AI across existing roles. That means the professionals who advance are the ones who can lead AI adoption within their current scope: evaluating where AI fits, getting investments funded, managing risk, and scaling what works. This certification validates that you can do all four.

The skills are portable. They apply regardless of which tools your organization uses or which company or industry you move into next. And for organizational leaders, this credential signals someone ready to own AI outcomes, from business case through production.  

These two certifications are built for different purposes and validate different skills. AWS Certified AI Business Strategist validates business judgment for AI decisions: which AI investments to pursue, how to build the business case, how to apply governance to manage risk, and how to drive adoption from pilot to production. This certification does not assess knowledge of AWS AI services. AWS Certified AI Practitioner validates foundational knowledge of AI, ML, generative AI concepts, and AWS AI services. You have the option to earn both if you want to demonstrate both technical AI knowledge and strategic AI business judgment. 

Your next step depends on where you want to grow. If you want to deepen your understanding of AI technologies on AWS, consider AWS Certified AI Practitioner. From there, you can progress to AWS Certified Machine Learning Engineer - Associate or AWS Certified Generative AI Developer - Professional for certifying more advanced skills using AI/ML AWS Services. If you want a broader cloud foundation, consider AWS Certified Cloud Practitioner.

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 policies page. The section on "Beta exams" includes information regarding the differences between the beta version and the standard version of an exam.