Advanced AI Enabled Enterprise Architecture
| Instructor | CEU Units | # of Lectures | Hours per Week | Tuition |
|---|---|---|---|---|
| John Goetze | 4.8 | 12 | 8-10 | $3,200 |
Carnegie Mellon University's Advanced Enterprise Architecture course is a twelve-week program that delves into the integration of data-driven strategies and artificial intelligence (AI) within enterprise architecture (EA) to facilitate digital business design.
Course Objectives
Upon completion, participants will:
- Operational Backbone: Understand the role of a modern, data-centric operational backbone in shaping the enterprise's operating model.
- Digital Platforms: Learn how AI-enhanced digital platforms can serve as foundations for innovative business models.
- Shared Customer Insights: Grasp the significance of data-driven customer insights and their application in fostering customer-centric architectural practices.
- Alignment and Agility: Explore the use of accountability frameworks to balance organizational alignment and agility, leveraging AI for informed decision-making.
- External Developer Platforms: Recognize how AI-integrated external developer platforms can assist enterprises in scaling their business models.
- Digital Business Design Evaluation: Develop skills to assess the five building blocks of digital business design within various contexts, emphasizing data and AI considerations.
- Roadmap Development: Learn to create roadmaps for digital business design using EA practices that incorporate data analytics and AI technologies.
- Strategic IT Solutions: Understand how EA utilizes strategic priorities and business requirements, informed by data and AI, to drive IT solution development and implementation.
- Digital Transformation: Comprehend the role of EA in digital transformation, focusing on data-driven and AI-enabled processes.
- Collaborative Discussions: Engage in online discussions to share real-world experiences and challenges related to data and AI in EA.
- Applied Learning: Produce a final paper demonstrating the application of architectural thinking in a digital business design context, with an emphasis on data and AI integration.
Prerequisite
Completion of the Enterprise Architecture Fundamentals course is required prior to enrollment.
Required Textbook
Ross, J. W., Beath, C. M., & Mocker, M. (2021). Designed for Digital: How to Architect Your Business for Sustained Success. MIT Press. ISBN-13: 978-0262542760.
Weekly Schedule
A one-hour online Zoom session is held every Tuesday at 2:15 PM EST. The Zoom link is available on the course website, and all sessions are recorded. Participation in topics and assignment reviews is mandatory, with additional time allocated for student Q&A. This course is tailored for professionals seeking to lead in the digital era by effectively integrating data-driven strategies and AI into enterprise architecture, thereby fostering innovation and maintaining a competitive edge.