Course Overview
The course, Building your AI Center of Excellence on Google Cloud, is a strategic program designed to help organizations move from fragmented, siloed innovation to a structured, enterprise-wide AI strategy. It focuses on the creation of an AI Center of Excellence (CoE)—a cross-functional unit that centralizes expertise and governance to accelerate AI value. The curriculum is built around four foundational pillars: Strategy, Structure, Governance, and Scale.
Participants will learn through a combination of case studies and practical demonstrations of Google Cloud tools like Gemini Enterprise. By the end of the 3-hour session, leaders will have a strategic roadmap for building an AI CoE that aligns with their organizational maturity.
Who should attend
- Business leaders
- C-suite executives such as CIOs and CDOs
- Strategic leads responsible for enterprise-wide AI transformation and governance
Prerequisites
Helpful to be familiar with:
- Familiarity with cloud concepts
- General understanding of organizational business strategy
Course Objectives
- Construct a formal AI CoE charter that translates business strategy into a dual-track mandate.
- Design a cross-functional CoE structure by selecting the appropriate operating model based on your organization's current maturity phase.
- Apply governance playbooks to your dual-track AI projects for safe and effective AI implementation.
- Evaluate AI transformation success using a balanced KPI framework to roadmap the CoE's evolution.
Outline: Building your AI Center of Excellence on Google Cloud (BACEGC)
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.