Building your AI Center of Excellence on Google Cloud (BACEGC) – Outline

Detailed Course Outline

Module 1 - The case for an AI CoE

Topics:

  • 1. The challenges facing transforming organizations
  • 2. Defining the AI CoE
  • 3. Pillars of the AI CoE

Objectives:

  • Explain the organizational need for centralized AI leadership.
  • Identify the core pillars of strategy, structure, governance, and scale.

Module 2- Strategy: Building a Business-Aligned Vision

Topics:

  • 1. Identifying the Right Tools for Your Organization
  • 2. Securing Executive Sponsorship
  • 3. Building your AI CoE Charter

Objectives:

  • Balance immediate impact with long-term strategy with a dual-track framework.
  • Build a business outcome-focused executive sponsorship case.
  • Write a formal AI CoE charter to guide successful AI transformation.

Activities:

  • 3x Demos
  • 1x Exercise

Module 3 - Structure: Building Operating Models and Workflows

Topics:

  • 1. Choosing Your Operating Model
  • 2. Staffing your AI CoE
  • 3. Establishing your AI CoE Workflows

Objectives:

  • Design a cross-functional CoE structure by selecting the appropriate operating model based on your organization's current maturity phase.
  • Select the write people to staff your AI CoE.
  • Establish clear and efficient AI CoE workflows.

Activities:

  • 1x discussion

Module 4 - Data Management and Governance: Building Guadrails for Safe Execution

Topics:

  • 1. Dual-Track Governance
  • 2. Security on Google Cloud Platform

Objectives:

  • Apply governance playbooks to your dual-track AI projects for safe and effective AI implementation.
  • Implement responsible AI governance review processes and apply governance principles.
  • Use Google Cloud’s security architecture and secure AI framework for safe AI implementation.

Activities:

  • 1x discussion

Module 5 - Measure and Scale: Executing Enterprise-Wide Transformation

Topics:

  • 1. Measuring AI Impact on Business Outcomes
  • 2. The AI CoE Strategic Roadmap

Objectives:

  • Identify and report on dual-track KPI metrics that accurately measure business impact.
  • Construct a three-phase strategic roadmap that transitions the AI CoE from a centralized foundation to a federated scaling model, identifying specific milestones aligned with the organization’s current maturity level.

Activities:

  • 1x exercise

Module 6 - Summary and Quiz

Topics:

  • Review core concepts

Objectives:

  • Evaluate understanding of core course concepts through scenario-based questions.

Activities:

  • 4 scenario-based multiple choice questions.