Building your AI Center of Excellence on Google Cloud

Building your AI Center of Excellence on Google CloudBACEGCGOGoogleGO-BACEGC1.0<ul> <li>Construct a formal AI CoE charter that translates business strategy into a dual-track mandate.</li><li>Design a cross-functional CoE structure by selecting the appropriate operating model based on your organization's current maturity phase.</li><li>Apply governance playbooks to your dual-track AI projects for safe and effective AI implementation.</li><li>Evaluate AI transformation success using a balanced KPI framework to roadmap the CoE's evolution.</li></ul>Helpful to be familiar with: <ul> <li>Familiarity with cloud concepts</li><li>General understanding of organizational business strategy</li></ul><ul> <li>Business leaders</li><li>C-suite executives such as CIOs and CDOs</li><li>Strategic leads responsible for enterprise-wide AI transformation and governance</li></ul><h4>Module 1 - The case for an AI CoE</h4> Topics: <ul> <li>1. The challenges facing transforming organizations</li><li>2. Defining the AI CoE</li><li>3. Pillars of the AI CoE</li></ul>Objectives: <ul> <li>Explain the organizational need for centralized AI leadership.</li><li>Identify the core pillars of strategy, structure, governance, and scale.</li></ul><h4>Module 2- Strategy: Building a Business-Aligned Vision</h4> Topics: <ul> <li>1. Identifying the Right Tools for Your Organization</li><li>2. Securing Executive Sponsorship</li><li>3. Building your AI CoE Charter</li></ul>Objectives: <ul> <li>Balance immediate impact with long-term strategy with a dual-track framework.</li><li>Build a business outcome-focused executive sponsorship case.</li><li>Write a formal AI CoE charter to guide successful AI transformation.</li></ul>Activities: <ul> <li>3x Demos</li><li>1x Exercise</li></ul><h4>Module 3 - Structure: Building Operating Models and Workflows</h4> Topics: <ul> <li>1. Choosing Your Operating Model</li><li>2. Staffing your AI CoE</li><li>3. Establishing your AI CoE Workflows</li></ul>Objectives: <ul> <li>Design a cross-functional CoE structure by selecting the appropriate operating model based on your organization's current maturity phase.</li><li>Select the write people to staff your AI CoE.</li><li>Establish clear and efficient AI CoE workflows.</li></ul>Activities: <ul> <li>1x discussion</li></ul><h4>Module 4 - Data Management and Governance: Building Guadrails for Safe Execution</h4> Topics: <ul> <li>1. Dual-Track Governance</li><li>2. Security on Google Cloud Platform</li></ul>Objectives: <ul> <li>Apply governance playbooks to your dual-track AI projects for safe and effective AI implementation.</li><li>Implement responsible AI governance review processes and apply governance principles.</li><li>Use Google Cloud’s security architecture and secure AI framework for safe AI implementation.</li></ul>Activities: <ul> <li>1x discussion</li></ul><h4>Module 5 - Measure and Scale: Executing Enterprise-Wide Transformation</h4> Topics: <ul> <li>1. Measuring AI Impact on Business Outcomes</li><li>2. The AI CoE Strategic Roadmap</li></ul>Objectives: <ul> <li>Identify and report on dual-track KPI metrics that accurately measure business impact.</li><li>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.</li></ul>Activities: <ul> <li>1x exercise</li></ul><h4>Module 6 - Summary and Quiz</h4> Topics: <ul> <li>Review core concepts</li></ul>Objectives: <ul> <li>Evaluate understanding of core course concepts through scenario-based questions.</li></ul>Activities: <ul> <li>4 scenario-based multiple choice questions.</li></ul>- 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.Helpful to be familiar with: - Familiarity with cloud concepts - General understanding of organizational business strategy- Business leaders - C-suite executives such as CIOs and CDOs - Strategic leads responsible for enterprise-wide AI transformation and governanceModule 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.3 heures350.00485.00300.00300.00300.00300.00300.00