AIDU-INFRA-302
Delivery Type: Live, instructor-led Remote or In person
Prerequisites: AI Foundations for Professionals, Enterprise AI Strategy & Adoption
This course provides executives and decision-makers with a comprehensive, system-level understanding of the infrastructure required to adopt, operate, and scale AI in enterprise environments. Rather than treating infrastructure as IT plumbing or cloud tooling, it frames AI infrastructure as a strategic capability spanning architecture, technology, hardware, software, data, talent, financing, and organizational decision-making.
Participants learn why most enterprise AI failures originate from infrastructure misalignment, fragmented ownership, or underinvestment in non-obvious layers such as data governance, lifecycle management, and human capability. The course equips professionals with durable mental models to evaluate AI readiness, compare in-house versus outsourced infrastructure strategies, and understand long-term cost structures beyond pilots and demos.
The focus is on whether an organization can safely and sustainably support AI systems at scale, not on how to configure tools or manage systems directly.
Core Topics:
AI infrastructure as an integrated enterprise system
End-to-end AI system architecture
AI technology infrastructure and platforms
AI hardware infrastructure and compute strategy
AI software infrastructure and MLOps capabilities
AI data infrastructure and governance
AI talent infrastructure and organizational roles
Outsourcing vs in-house infrastructure strategies
Infrastructure financing and total cost of ownership
Infrastructure readiness audits and gap analysis
Outcomes:
Explain AI infrastructure as an integrated enterprise capability
Understand how architecture choices constrain AI performance and risk
Distinguish hardware, software, data, and talent infrastructure roles
Evaluate infrastructure readiness for real-world AI deployment
Assess long-term cost, scalability, and financing implications
Compare in-house, hybrid, and outsourced infrastructure strategies
Identify governance and organizational gaps that undermine AI systems
Conduct or participate in an AI infrastructure readiness audit
