Course
digicode: AWSAIB
Become an AWS AI Business Strategist – Intensive Training
Course facts
Download as PDF- Transforming ambiguous business challenges into scoped, AI-appropriate problem statements
- Applying the 3D framework (Discover, Design, Deliver) to assess organizational readiness and map problems to AI capabilities
- Evaluating tradeoffs between business objectives and responsible AI principles, balancing value, feasibility, risk, and ethics
- Designing pilot strategies with measurable success criteria and phased scaling paths to enterprise deployment
- Facilitating AI change management by addressing workforce concerns and structuring cross-functional teams
- Explaining core AI/GenAI concepts to evaluate solution feasibility and inform build-buy-partner decisions
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 certification exam domains and offers a role-based perspective for learners interested in taking the exam.
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
2 Discover: Problem, Readiness, and Data Foundations
- Diagnose the Customer's Actual Problem
- Assess Organizational Readiness
- Establish Data Foundation
- Activity: Discovery
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
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
5 Agentic AI: Architecture, Evaluation, and Production
- Multi-Agent Architectures
- Autonomy vs. Control in Depth
- Generation, Evaluation, and Production
- Activity: Break the Agent
6 Discover Together
- Use Case Introduction and Framework Review
- Simulation Debrief
7 Design Together
- Map Pain Points to AI Capabilities
- Governance by Design
- POC scope and pilot success criteria
8 Deliver Together
- Build, calibrate, and evaluate the POC
- Deploy bounded pilot and lead change
- Scale to enterprise platform
9 Summary and Continue Your Learning
- Next Steps for Continued Learning
Multiple 30-minute activities on Day 1, two interactive simulations with instructor debriefing on Day 2, case studies, small group discussions, and customer scenario analysis
- 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
- Business or technology leadership experience
- Familiarity with enterprise technology initiatives
- Basic understanding of cloud computing concepts
- Optional: AWS Cloud Practitioner Essentials (foundational cloud literacy)