Become an AWS AI Business Strategist (BAWSAIBS) – Outline

Detailed Course Outline

Course outline 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

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