Turn AI opportunities into business strategy with the judgment to evaluate, govern, and scale AI initiatives.
Develop the strategic capabilities to move AI initiatives from experimentation to measurable business outcomes.
Using AWS’s Discover, Design, Deliver framework, learn to identify AI-appropriate problems, assess organizational readiness, evaluate business value and risk, establish responsible AI governance, design pilots, lead change, and scale successful initiatives across the enterprise.
- Why get trained: Develop practical skills in AI strategy, business value, readiness, governance, pilot design, change management, and enterprise scaling
- Why it matters: Successful AI adoption depends on making sound decisions about where to invest, what to prioritize, how to manage risk, and when to scale
- Who should attend: Business and technology leaders, product and program managers, governance professionals, and change leaders responsible for AI initiatives
Apply a structured approach to move AI initiatives from business problem and investment decision through pilot, governance, adoption, and enterprise deployment. HRD Corp Claimable.
Overview
The AWS AI Business Strategist: Role-Based Training is an instructor-led course designed for business and technology leaders responsible for shaping, sponsoring, and scaling AI initiatives within their organizations. Instructors model how to think like an AI strategist using case studies.
Professionals learn how to lead AI strategy engagements from customer diagnosis through enterprise deployment. The training provides a framework for understanding what an AI strategist does and multiple use cases to practice those tasks.
The simulation on Day 2 provides an opportunity for learners to synthesize their learning in an end-to-end AI strategy challenge.
Participants leave with actionable tools: strategic frameworks and guided walkthrough documents- all contextualized within the AWS AI ecosystem. The course is aligned with the AWS Certified AI Business Strategist certification exam domains and offers a role-based perspective for learners interested in taking the exam.
Skills Covered
- Transform ambiguous business challenges into scoped, AI-appropriate problem statements.
- Apply the 3D framework (Discover, Design, Deliver) to assess organizational readiness and map problems to AI capabilities
- Evaluate tradeoffs between business objectives and responsible AI principles, balancing value, feasibility, risk, and ethics
- Design pilot strategies with measurable success criteria and phased scaling paths to enterprise deployment
- Facilitate AI change management by addressing workforce concerns and structuring crossfunctional teams
- Explain core AI/GenAI concepts to evaluate solution feasibility and inform build-buypartner decisions
Prerequisites
- Business or technology leadership experience
- Familiarity with enterprise technology initiatives
- Basic understanding of cloud computing concepts
- Optional: AWS Cloud Practitioner Essentials (foundational cloud literacy)
Target Audience
- Business executives and senior leaders responsible for AI strategy
- Product managers and Program managers driving AI initiatives
- IT and Technology leaders overseeing AI adoption
- Risk, compliance, and governance professionals
- Organizational change management and HR leaders supporting AI transformation
Module 0: Welcome and Course Overview
- Access Labs and Guides
Module 1: The AI Business Strategist’s Toolkit
- The AI business strategist’s role
- The Enterprise Strategy Layer
- The 3D framework
- Technical Foundations: What the AI Business Strategist Needs to Know
- Activity: Scenario Triage
Module 2: Discover: Problem, Readiness, and Data Foundations
- Diagnose the Customer’s Actual Problem
- Assess Organizational Readiness
- Establish Data Foundation
- Activity: Discovery
Module 3: Design: Capabilities, Governance, and Scope
- Map Business Problems to AI Capabilities
- Weave in Governance and Responsible AI
- Specify POC scope and pilot success criteria
- Activity: Governance in a Regulated Architecture
Module 4: Deliver: Pilot, Change, and Scale
- Build, calibrate, and evaluate the POC
- Deploy bounded pilot and lead change
- Scale from Pilot to Enterprise and Connect to Strategy
- Activity: Deliver
Module 5: Agentic AI: Architecture, Evaluation, and Production
- Multi-Agent Architectures
- Autonomy vs. Control in Depth
- Generation, Evaluation, and Production
- Activity: Break the Agent
Module 6: Discover Together
- Use Case Introduction and Framework Review
- Simulation Debrief
Module 7: Design Together
- Map Pain Points to AI Capabilities
- Governance by Design
- POC scope and pilot success criteria
Module 8: Deliver Together
- Build, calibrate, and evaluate the POC
- Deploy bounded pilot and lead change
- Scale to enterprise platform
Module 9: Summary and Continue Your Learning
- Next Steps for Continued Learning
Dates & Locations
November 16, 2026 - November 17, 2026
November 16, 2026 - November 17, 2026
December 7, 2026 - December 8, 2026
December 7, 2026 - December 8, 2026
January 4, 2027 - January 5, 2027
January 4, 2027 - January 5, 2027
February 2, 2027 - February 3, 2027
February 2, 2027 - February 3, 2027
March 1, 2027 - March 2, 2027
March 1, 2027 - March 2, 2027
April 5, 2027 - April 6, 2027
April 5, 2027 - April 6, 2027
May 3, 2027 - May 4, 2027
May 3, 2027 - May 4, 2027
June 14, 2027 - June 15, 2027
June 14, 2027 - June 15, 2027
July 5, 2027 - July 6, 2027
July 5, 2027 - July 6, 2027
August 2, 2027 - August 3, 2027
August 2, 2027 - August 3, 2027
September 6, 2027 - September 7, 2027
September 6, 2027 - September 7, 2027
October 4, 2027 - October 5, 2027
October 4, 2027 - October 5, 2027
November 1, 2027 - November 2, 2027
November 1, 2027 - November 2, 2027
December 6, 2027 - December 7, 2027
December 6, 2027 - December 7, 2027
Exam & Certification
AWS Certified AI Business Strategist.
AWS Certified AI Business Strategist tests your ability to evaluate AI investments, build business cases, design governance, and scale adoption across an organization. The exam assesses strategic decision-making skills that are portable across organizations and industries. It does not assess AWS services knowledge. For organizations, certified professionals bring a shared framework for AI decisions and a faster path from experimentation to measurable outcomes.
Earn this certification by February 15, 2027 and receive an additional Early Adopter digital badge.
The exam has the following content domains and weightings:
- Content Domain 1: AI Fundamentals and Literacy (24% of scored content)
- Content Domain 2: AI Strategy and Business Value Creation (28% of scored content)
- Content Domain 3: AI Governance and Responsible AI Leadership (24% of scored content)
- Content Domain 4: Business Readiness, Leadership, and AI Transformation (24% of scored content)
Training & Certification Guide
Frequently Asked Questions
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