From Dirt to Data: A Real Estate Professional's Guide to Data Centers
Where Land, Power, Fiber, and Capital Converge
The global data center market is set to double within the decade driven by AI workloads, cloud migration, and demand for resilient digital infrastructure. This course prepares you to operate at the intersection of real estate, energy, and compute.
Designed for real estate and infrastructure professionals entering the digital infrastructure space, this course demystifies how data centers are evaluated, permitted, financed, built, and leased. You’ll learn how location, power procurement, and cooling strategy drive site feasibility, and how capital, tenants, and policy shape what gets built and where.
We cover the full lifecycle of data center development: from land strategy and entitlements to development economics, lease models, and exit options. You’ll gain frameworks to analyze colocation, edge, and speculative builds—plus tools to evaluate risk, forecast returns, and engage meaningfully in this high-growth asset class.
You will learn how to:
What is a Data Center?
Hyperscale Centers
Power & Cooling Basics
Economic Impacts of AI & Cloud
Latency & Why Geography Still Matters
Site Selection Criteria
Geopolitics of Location
Power and Grid Interconnection
Fiber Connectivity & Latency Paths
Water and Cooling Infrastructure
Beyond Water: Exploring Alternative Cooling Technologies
Zoning Basics
Entitlement Steps
NEPA and Environmental Reviews
Community Opposition
Fast-Tracking with Federal Tools
Battery Storage: Zoning and Permitting
Capex & Opex Drivers
Understanding Lease Models
Exit Strategy Options
Risk and Return
Who Builds What
Public vs. Private Players
How JV Structures Work
REITs and PE Capital
Power Contracts 101
On-Site Generation
Renewable Integration
Grid Reliability & Resiliency
Real estate investors, developers, asset managers, infrastructure planners, advisors, consultants, utility professionals, and anyone seeking to enter the data center sector from a strategic and investment perspective.