- Maps to AWS Domain 1, AI Fundamentals and Literacy (24% of scored content on AIB-C01).
- Explain algorithms, models, training, inference, and predictions in business terms.
- Tell AI, machine learning, and generative AI apart, and explain how structured and unstructured data affect what AI can do.
- Explain why data quality drives AI results and how models learn from historical data.
- Recognize the shared AI vocabulary in global frameworks such as ISO/IEC 23053 and ISO/IEC 42001.
AWS Certification Training Course
AWS Certified AI Business Strategist Certification Training Course
Prepare for the AWS Certified AI Business Strategist exam with live instruction built around the AWS exam guide. The course is for business professionals who decide which AI projects get funded, how they are governed, and how they grow from a pilot to the whole organization.
Course focus: AI fundamentals and literacy, AI strategy and business value creation, AI governance and responsible AI leadership, and business readiness and AI transformation, mapped to the four domains in the AWS AIB-C01 exam guide.
Course Overview
Make the business decisions that move AI from pilot to results.
The AWS Certified AI Business Strategist Certification Training Course with Accumentum prepares business professionals for AIB-C01, the AWS exam in the Business category. AWS says the exam tests your ability to evaluate AI investments, build business cases, design governance, and scale adoption across an organization.
This is not a technical AWS exam. AWS says it does not assess AWS services knowledge and that no coding or AWS implementation experience is required. The exam guide describes the target candidate as a business professional who evaluates, champions, or scales AI initiatives and works alongside technical teams without building AI solutions themselves.
The ten modules follow the four domains in the AIB-C01 exam guide: AI Fundamentals and Literacy (24%), AI Strategy and Business Value Creation (28%), AI Governance and Responsible AI Leadership (24%), and Business Readiness, Leadership, and AI Transformation (24%). Each module works through business scenarios like the ones AWS uses on the exam.
AIB-C01 is currently a beta exam. Candidates who earn the certification by February 15, 2027 also receive an Early Adopter digital badge from AWS.
Course Objectives
Build AIB-C01 exam readiness and practical AI business judgment.
01
Build AI literacy for business decisions
Explain core AI, machine learning, and generative AI concepts, choose the right type of AI solution for a problem, and know when rule-based automation is the better fit.
02
Make the business case for AI
Pick high-impact use cases, weigh build and buy options, set KPIs and baselines, calculate ROI, and decide when to scale, pause, or stop an initiative.
03
Govern AI responsibly
Apply responsible AI principles to business tradeoffs, set up cross-functional governance, address regulatory risk, and direct mitigation for bias, drift, and hallucinations.
04
Lead AI adoption at scale
Assess readiness and maturity, close data and capability gaps, lead workforce change, and move initiatives from pilot to enterprise-wide production.
Who Should Attend
- Product managers and program managers who own AI outcomes for their teams or customers.
- Sales, business development, and marketing professionals who explain AI value to customers.
- Line-of-business leaders who decide where AI fits in their operations and budgets.
- Consultants and business analysts who guide AI strategy for clients or internal teams.
Prerequisites
- AWS recommends 6 months of experience working with or alongside teams adopting AI before you take this exam.
- AWS says no coding, AWS implementation experience, or other AWS certifications are required.
- The exam guide expects basic familiarity with AI concepts and a business level awareness of AWS AI services such as Amazon Bedrock, Amazon SageMaker AI, and Amazon Quick, without hands-on use.
- AWS lists building models, data engineering, configuring AWS services, and running AI systems in production as out of scope for the exam, so the course does not spend time on them.
Pathway Map
The AWS Certified AI Business Strategist training course covers all four AIB-C01 domains.
Ten modules follow the AIB-C01 domains and their published weights, from AI literacy through scaling AI across the organization.
1
AI Concepts and Vocabulary for Business
2
Choosing AI Solutions and Working with GenAI
3
AI Strategy Aligned to Business Objectives
4
Measuring AI Business Value and ROI
5
Positioning AI for Competitive Advantage
6
Responsible AI in Business Decisions
7
AI Governance, Compliance, and Enterprise Risk
8
AI Readiness, Maturity, and Data Foundations
9
Leading Change and Building an AI-Ready Workforce
10
Scaling AI from Pilot to Enterprise
Course Content
- Maps to AWS Domain 1, AI Fundamentals and Literacy (24% of scored content on AIB-C01).
- Decide when rule-based automation is enough and when an AI solution is justified.
- Describe what makes AI agents different, including autonomy, tool use, agent-to-agent communication, and orchestration.
- Explain why AI solutions need ongoing monitoring for model drift, and classify AI tools as approved, blocked, or under evaluation to reduce shadow AI.
- Apply basic prompt engineering, spot token limit and context window problems, and explain how RAG and fine-tuning improve responses for a business need.
- Maps to AWS Domain 2, AI Strategy and Business Value Creation (28% of scored content on AIB-C01).
- Find high-impact use cases in customer operations, sales and marketing, research and development, and software development, and tie each one to a business outcome.
- Weigh building, buying, or working with an outside provider based on budget, timeline, capabilities, vendor proposals, and compliance needs.
- Prioritize initiatives by value, feasibility, sustainability, and strategic fit, and decide when to scale, pause, or end one.
- Recognize when AI is not the right answer, and plan for continuity, cost, data readiness, and performance when moving processes to AI or between AI platforms.
- Maps to AWS Domain 2, AI Strategy and Business Value Creation (28% of scored content on AIB-C01).
- Define KPIs that cover tangible results such as cost reduction and revenue growth and intangible results such as customer satisfaction and productivity.
- Set baseline metrics before launch so you can measure the real effect of AI.
- Calculate ROI from time savings, cost reduction, revenue growth, and productivity gains, and identify leading indicators of success.
- Plan and control AI costs, including consumption-based, instance-based, and seat-based pricing and tools such as AWS Pricing Calculator and AWS Cost Explorer.
- Maps to AWS Domain 2, AI Strategy and Business Value Creation (28% of scored content on AIB-C01).
- Assess what competitors are doing with AI and where adoption creates an advantage.
- Identify ways AI can change a business model, not just speed up existing work.
- Explain how AI produces lasting competitive advantages and operational improvements.
- Set investment levels that fit your industry's AI maturity and competitive pressure.
- Maps to AWS Domain 3, AI Governance and Responsible AI Leadership (24% of scored content on AIB-C01).
- Apply fairness, explainability, privacy, safety, transparency, and robustness to business scenarios.
- Handle tradeoffs when a business goal conflicts with responsible AI principles.
- Build responsible AI into project planning from the start so governance is part of the design.
- Decide when AI needs human oversight and which safeguards fit, such as hallucination detection, guardrails, and escalation criteria.
- Maps to AWS Domain 3, AI Governance and Responsible AI Leadership (24% of scored content on AIB-C01).
- Set up AI governance with cross-functional representation and clear accountability.
- Identify regulatory compliance risks in AI-enabled processes and the access controls and data security measures AI systems need.
- Use AI risk classification to prioritize governance and compliance decisions across the AI lifecycle.
- Direct controls and monitoring for AI in production, including bias drift, harmful content, intellectual property concerns, hallucinations, and model drift.
- Maps to AWS Domain 4, Business Readiness, Leadership, and AI Transformation (24% of scored content on AIB-C01).
- Assess readiness across leadership alignment, data quality, culture, technical infrastructure, and governance.
- Use AI maturity models to place an organization between experimentation and enterprise-scale deployment.
- Find capability gaps across people, process, technology, and governance, and plan investments to close them.
- Evaluate data readiness, data silos, data ownership, and data sharing, and the infrastructure AI initiatives depend on.
- Maps to AWS Domain 4, Business Readiness, Leadership, and AI Transformation (24% of scored content on AIB-C01).
- Secure executive sponsorship and identify AI champions who keep momentum going.
- Build cross-functional teams with business, technical, legal, and compliance members and clear accountability.
- Communicate openly about timelines, expected results, and effects on roles, and address risk aversion, resistance to change, and fear of failure.
- Choose workforce development approaches such as proof of concept programs, hackathons, and responsible AI training, and plan how roles shift toward oversight of AI systems.
- Maps to AWS Domain 4, Business Readiness, Leadership, and AI Transformation (24% of scored content on AIB-C01).
- Move through phases such as envision, experiment, launch, and scale.
- Start with short-term wins and build toward enterprise-wide deployment.
- Set up an AI center of excellence and feedback loops with success metrics that track long-term value.
- Plan the governance and operational work needed to take an initiative from experiment to production while protecting business continuity and performance.
Course Features
Built for business professionals preparing for the AIB-C01 exam.
Instructor-Led Sessions
Live virtual sessions that work through AI investment, governance, and adoption decisions with an instructor.
Business Scenarios
Scenario practice where you judge whether a proposed AI project is sound, premature, or missing what it needs to succeed, then defend your call.
Domain-Mapped Materials
Study materials organized by the four AIB-C01 domains and their published weights.
Exam Readiness Review
Review of the exam format, including multiple response items that need every correct answer, plus pacing for the beta exam length.
Certification Exam
About the AWS Certified AI Business Strategist exam (AIB-C01)
AWS AIB-C01 Exam Readiness
Accumentum's course prepares business professionals for the four AIB-C01 domains and the scenario-based questions AWS uses on the exam.
AWS says the AIB-C01 exam is for individuals who evaluate, champion, or scale AI initiatives in their organizations or for their clients, and that it validates the ability to translate AI capabilities into business outcomes, establish responsible AI practices, and drive AI adoption at scale. The exam prioritizes strategic decision-making over technical implementation.
AIB-C01 is currently a beta exam. AWS lists the beta at 85 questions and 170 minutes. The exam guide lists 130 minutes for the exam. Questions are multiple choice (one correct response out of four) or multiple response (two or more correct responses out of five or more options, and you must select all of them to get credit). Unanswered questions are scored as incorrect, and there is no penalty for guessing.
Results are pass or fail on a scaled score of 100 to 1,000. The minimum passing score is 700. AWS uses a compensatory scoring model, so you need to pass the exam as a whole, not each section. AWS says results, including beta results, are available within five business days.
Domain weights on AIB-C01 are AI Fundamentals and Literacy 24%, AI Strategy and Business Value Creation 28%, AI Governance and Responsible AI Leadership 24%, and Business Readiness, Leadership, and AI Transformation 24%.
You take the exam at a Pearson VUE testing center or as an online proctored exam. AWS offers the exam in English and Japanese. The certification is valid for 3 years, and you recertify by passing the latest version of the exam.
Candidates who earn the certification by February 15, 2027 receive an Early Adopter digital badge in addition to the certification badge.
Accumentum is an independent training provider. AWS sets and changes exam rules, fees, and policies, so confirm current details on the AWS Certification website before you register.
Frequently Asked Questions
Questions we hear about AIB-C01, the Early Adopter badge, and how this course fits.
It is an AWS certification in the Business category. AWS says it validates the business judgment to evaluate AI investments, build business cases, design governance, and scale AI adoption across an organization.
AIB-C01. The exam is currently in beta, and candidates who pass the beta exam are among the first to hold the new certification.
AWS gives an additional Early Adopter digital badge to candidates who earn the certification by February 15, 2027. You receive it along with the certification badge.
No. AWS says no coding, AWS implementation experience, or other AWS certifications are required. AWS recommends 6 months of experience working with or alongside teams adopting AI, basic familiarity with AI concepts, and a business level awareness of AWS AI services.
AWS says AI Business Strategist validates business judgment for AI decisions and does not assess knowledge of AWS AI services. AI Practitioner validates foundational knowledge of AI, machine learning, generative AI, and AWS AI services. You can earn both.
AWS lists the beta exam at 85 questions and 170 minutes. The exam guide lists 130 minutes for the exam. Questions are multiple choice or multiple response, and multiple response questions need every correct answer to earn credit.
AWS reports results on a scaled score of 100 to 1,000, and the minimum passing score is 700. The scoring is compensatory, so you pass or fail on the exam as a whole.
At a Pearson VUE testing center or as an online proctored exam. AWS offers the exam in English and Japanese.
3 years. You recertify by passing the latest version of the exam. See the AWS recertification page for current options.
No. AWS awards the certification when you pass the exam. Accumentum is an independent training provider, and AWS sets the exam rules, fees, and policies.
Enrollment
Enroll in the AWS Certified AI Business Strategist Certification Training Course with Accumentum.
Enroll in the AWS Certified AI Business Strategist Certification Training Course with Accumentum to prepare for the AIB-C01 exam.
You will work through all four AIB-C01 domains with an instructor and practice the kind of business scenarios AWS uses to test AI strategy, value, governance, and adoption decisions.
For course dates and enrollment help, visit Accumentum's registration page.
Get ready for the AWS Certified AI Business Strategist exam.
Register now, or contact us if you want help deciding whether this or AWS Certified AI Practitioner fits your role.