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 Enterprise Architecture Fundamentals course offers a comprehensive exploration of Enterprise Architecture (EA) with a strong emphasis on data-driven strategies and the integration of artificial intelligence (AI). This course is designed to equip professionals with the knowledge and skills necessary to leverage data analytics and AI in the development and management of robust enterprise architectures.
Course Objectives
Upon completion, participants will:
- Understand the pivotal role of data-driven decision-making in EA, including how data analytics inform IT-related strategic planning, capital allocation, operations management, security, privacy, program management, standards, and workforce planning.
- Learn how to align strategic priorities and business outcomes, driving the development and implementation of innovative IT solutions, including AI-based services.
- Recognize EA as both a management program and a methodology for analysis and documentation, utilizing AI to enhance these processes.
- Visualize the scope of EA programs through a hierarchical framework that encompasses strategic initiatives, business processes, information flows, IT systems and services, and networks, all informed by data analytics.
- Identify how data-driven EA approaches can mitigate risks associated with implementing IT solutions.
- Address organizational culture and dynamics, employing AI-driven strategies to support and manage change effectively.
- Trace the historical evolution of EA practices and theories, focusing on the increasing significance of data and AI.
- Utilize scenario planning, enhanced by AI, to engage executive-level participation in future architecture development.
- Differentiate between solution, domain, and enterprise architecture, with an understanding of how data and AI influence each area.
- Develop and populate an organization's EA overview diagram and its quad chart.
Prerequisites
None
Target Group
This course is ideal for professionals seeking to advance their expertise in enterprise architecture by integrating data-driven methodologies and AI technologies, thereby enhancing organizational innovation and competitiveness.
Required Readings
Scott Bernard (2020) An Introduction to Holistic Enterprise Architecture. Authorhouse. ISBN13: 978-1728358055
Selection of articles
Topics Covered
- Holistic Enterprise Architecture Overview
- Defining Holistic and Data-Driven Enterprise Architecture
- Holistic EA's Six Basic Elements
- The EA6 Cube Framework
- EA Governance
- EA Frameworks and Practices
- EA Artifacts and Architecture Records
- EA Outcomes: Creating Value with EA
- EA Roadmapping in a Data-Driven Enterprise
- EA and Cybersecurity
- EA and Mergers & Acquisitions
- Participants' projects
Weekly Activities
A mandatory one-hour online meeting is held every Tuesday evening from 7-8 pm CET. The link is available on the course website. These sessions include topic reviews and assignment discussions, with time allocated for student Q&A.