AI and Data Centers: Driving Global Decarbonization

Übersicht

By the end of this course, you will be able to explain how data centers power AI‑driven decarbonization across the global economy and why sustainable digital infrastructure is foundational to achieving net‑zero goals. You will learn how AI, enabled by cloud and edge data centers, supports clean energy grids, optimizes buildings and manufacturing operations, and accelerates electrified, efficient transportation systems.

Through five beginner‑friendly modules, the course explores real‑world examples of how predictive analytics, digital twins, automation, and smart energy management reduce emissions while improving resilience, efficiency, and reliability. You will gain a cross‑sector understanding of how AI relies on data centers to manage renewable energy, balance supply and demand, optimize EV charging and mobility, and modernize industrial and building operations, without requiring advanced technical knowledge.

This course is designed for learners who want to understand how AI‑enabled data centers and digital infrastructure support decarbonization across major sectors of the economy. It is most relevant for data center, IT, and digital infrastructure professionals; energy and power‑sector practitioners; and sustainability or technology leaders working at the intersection of AI, electrification, and infrastructure.

The course is also valuable for consultants, policy professionals, and students seeking a systems‑level view of how AI operates at scale - inside data centers, at the edge, and across connected industries - to enable real‑world emissions reduction.

Lehrplan

• AI-Driven Data Centers: Revolutionizing Decarbonization Strategies
Data centers that once operated in the background are well known by almost everyone thanks to
• Decarbonizing the Power Sector: The Critical Role of AI and Data Centers
The decarbonization of energy generation and distribution is an important objective because sizable
• Constructing a Greener Future: How Data Centers Power AI-Driven Decarbonization of Building
Reducing pollution from commercial and residential buildings is based on electrification and consecutive
• Decarbonizing Manufacturing and Production: The Impact of AI on Data Center Efficiency
Substantial contributions to global emissions coming from manufacturing are likely to decrease thanks to
• Harnessing Data Centers: Driving Decarbonization in Transportation through AI and Electrification
The global carbon footprint is largely made of emissions from transportation. Electrification and digitalization

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Unterrichtet von

Taught by Schneider Electric Experts

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Fachgebiete

Programming