AI Center of Excellence
Learn how to establish, structure, and operate an AI Center of Excellence (CoE) that accelerates AI adoption across your organization. This course covers organizational design, team building, operational frameworks, and governance models that turn scattered AI efforts into coordinated enterprise capabilities.
What You'll Learn
By the end of this course, you will be able to design, launch, and operate an AI Center of Excellence tailored to your organization's size and maturity.
CoE Structure
Design the right organizational structure for your AI CoE — centralized, federated, or hybrid — based on your enterprise needs and maturity level.
Team Building
Build a high-performing AI team with the right mix of data scientists, ML engineers, product managers, and domain experts.
Operations
Establish operational frameworks for project intake, prioritization, delivery, and continuous improvement within your CoE.
Governance
Create governance models that balance innovation speed with responsible AI practices, compliance, and risk management.
Course Lessons
Follow the lessons in order for the best learning experience, or jump to any topic you need.
1. Introduction
Understand why organizations need an AI CoE, the value it delivers, and the different models for structuring one within your enterprise.
2. Structure
Explore CoE organizational models including centralized, federated, and hub-and-spoke structures with their trade-offs and ideal contexts.
3. Team
Define roles, hiring strategies, career paths, and development programs for building a world-class AI team within your CoE.
4. Operations
Build operational workflows for project intake, prioritization, agile delivery, stakeholder management, and knowledge sharing.
5. Governance
Establish AI governance frameworks covering model risk management, ethical review, compliance, and responsible AI deployment.
6. Best Practices
Learn proven best practices for sustaining CoE impact, measuring success, evolving the operating model, and driving continuous innovation.
Prerequisites
What you need before starting this course.
- Senior leadership or management role with organizational design responsibilities
- Basic understanding of AI and machine learning concepts
- Familiarity with enterprise organizational structures and processes
- No coding or technical implementation experience required
Lilly Tech Systems