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Become an AWS AI Business Strategist

  • Référence GK910040
  • Durée 2 jour(s)

Modalité pédagogique

Classe inter à distance Prix

EUR1,595.00

hors TVA

Demander une formation en intra-entreprise S'inscrire

Modalité pédagogique

La formation est disponible dans les formats suivants:

  • Classe inter à distance

    Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.

  • Classe inter en présentiel

    Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.

  • Intra-entreprise

    Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.

Demander cette formation dans un format différent

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 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.

 

Updated Sept. 2026

Virtual and Classroom learning - V&C Select™

V&C Select™ is a simple concept and a flexible approach to delivery. You can 'select' a course from our public schedule and attend in person or as a virtual delegate. Virtual delegates do not travel to this course, we will send you all the information you need before the start of the course and you can test the logins.

Prochaines dates

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This course is intended for:

- 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

Objectifs de la formation

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In this course, you will learn to do the following:

  • 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 cross[1]functional teams
  • Explain core AI/GenAI concepts to evaluate solution feasibility and inform build-buy-partner decisions

Programme détaillé

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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

Pré-requis

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We recommend that attendees of this course have the following:

  • Business or technology leadership experience
  • Familiarity with enterprise technology initiatives
  • Basic understanding of cloud computing concepts
  • Optional: AWS Cloud Practitioner Essentials (foundational cloud literacy)

Certification

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  • None
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