Generative Ai Governance: Build A Responsible Ai Coe

Generative Ai Governance: Build A Responsible Ai Coe
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn AI governance, ethics, compliance, and how to create a Generative AI Center of Excellence (CoE) for responsible AI

What you’ll learn

Establish the Core Structure of a Generative AI CoE

Apply AI Governance Frameworks to Ensure Ethical and Compliant AI Use

Identify and Address the Key Roles and Responsibilities within a CoE

Develop and Track Key Performance Indicators (KPIs) for AI Projects

Design Cross-Functional Collaboration Strategies for CoE Success

Adapt and Scale the CoE in Response to Future AI Trends

Requirements

Experience in Technology or Business Management

Interest in AI Governance and Ethics

No Special Tools or Equipment Required

Description

Overview

Section 1: Introduction to Generative AI CoE

Lecture 1 What is a Generative AI CoE

Lecture 2 Value Proposition of a Generative AI CoE

Lecture 3 Case Studies from IBM, AWS, and Capgemini

Section 2: Designing the Generative AI CoE

Lecture 4 Core Frameworks for Designing a CoE

Lecture 5 Key Roles within a CoE

Lecture 6 Collaborating with IT, Data, and Executive Teams

Section 3: AI Governance in the CoE

Lecture 7 AI Governance Frameworks

Lecture 8 Ethical and Responsible AI

Lecture 9 Compliance with Data Privacy and AI Regulations

Section 4: Implementing and Scaling the CoE

Lecture 10 Execution Roadmap

Lecture 11 Performance Metrics and KPIs

Lecture 12 Common Roadblocks and Solutions

Section 5: Case Study and Practical Application

Lecture 13 Case Study and Practical Application

Lecture 14 Future Trends in Generative AI CoEs

Executives and Business Leaders,IT and Data Science Professionals,AI Governance and Compliance Officers,Project and Product Managers in Technology,Consultants and Advisors in AI and Digital Transformation,Aspiring AI Strategists and Enthusiasts