Generative AI Leader
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
2 d
Fundamental
GCPSPARKSAICOE
Building your AI Center of Excellence on Google Cloud Training
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.
What you will learn
- 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.
Prerequisites
- Familiarity with cloud concepts
- General understanding of organizational business strategy
Target audience
- Business leaders, C-suite executives such as CIOs and CDOs, Strategic leads responsible for enterprise-wide AI transformation and governance
Training Program
6 modules to master the fundamentals
Objectives
- Explain the organizational need for centralized AI leadership.
- Identify the core pillars of strategy, structure, governance, and scale.
Topics covered
- →The challenges facing transforming organizations
- →Defining the AI CoE
- →Pillars of the AI CoE
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.
Topics covered
- →Identifying the Right Tools for Your Organization
- →Securing Executive Sponsorship
- →Building your AI CoE Charter
Activities
3x demos
1x exercise
Objectives
- Design a cross-functional CoE structure by selecting the appropriate operating model based on your organization's current maturity phase.
- Select the right people to staff your AI CoE.
- Establish clear and efficient AI CoE workflows.
Topics covered
- →Choosing Your Operating Model
- →Staffing your AI CoE
- →Establishing your AI CoE Workflows
Activities
1x discussion
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.
Topics covered
- →Dual-Track Governance
- →Security on Google Cloud Platform
Activities
1x discussion
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.
Topics covered
- →Measuring AI Impact on Business Outcomes
- →The AI CoE Strategic Roadmap
Activities
1x exercise
Objectives
- Evaluate understanding of core course concepts through scenario-based questions.
Topics covered
- →Review core concepts
Activities
4 scenario-based multiple choice questions
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Upcoming sessions
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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.
Register for a custom dateQuality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
Teaching Methods Used
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Group Discussion — Open exchange among peers and the instructor on a specific topic.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Frequently Asked Questions
It is designed for executives, transformation leaders and senior managers who want to structure an enterprise-wide AI strategy. No coding is required.
There are no technical prerequisites. The course suits leaders shaping AI strategy, structure and governance across their organization.
You will learn to build a formal AI CoE charter, design a cross-functional operating model matched to your maturity, apply governance playbooks and measure success with a balanced KPI framework.
Strategy, structure, governance and scale. The modules work through each pillar with case studies and practical demonstrations of Google Cloud tools such as Gemini Enterprise.
The course lasts 3 hours and is delivered in an instructor-led format, combining case studies, demonstrations and group discussion.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote
Cloud Sparks Program