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AI and Data Centers: Driving Global Decarbonization
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Support and Operations
AI and Data Centers: Driving Global Decarbonization
Instructor: Taught by Schneider Electric Experts
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5 modules
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
5 modules
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
About
Modules
Recommendations
Testimonials
Previous
Next
What you'll learn
Describe how AI‑powered data centers drive decarbonization across energy, transport, buildings, and industry
Explain how AI and data centers support clean energy grids, smart mobility, and efficient operations
Identify why sustainable digital infrastructure is essential for achieving global net‑zero goals
Skills you'll gain
Internet Of Things
Data Infrastructure
Electric Power Systems
Digital Transformation
Sustainable Technologies
Manufacturing Operations
Artificial Intelligence
Information Technology
Transportation Operations
Climate Change Mitigation
Manufacturing Processes
AI Integrations
Data Centers
Automation Engineering
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Details to know
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Recently updated!
April 2026
Assessments
22 assignments
Taught in English
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There are 5 modules in this course
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.
AI-Driven Data Centers: Revolutionizing Decarbonization Strategies
Module 1•1 hour to completeModule details
Data centers that once operated in the background are well known by almost everyone thanks to
recent Artificial Intelligence hype. There has been a wave of new scrutiny of data center energy
use and carbon emissions. However, forecasts showing future sustainability of the sector and
active participation in carbon footprint reduction from the economy present optimistic perspectives.
Carbon footprint reduction in every sector of the economy requires data centers. Electrification and
digitization enabled by data centers will drive decarbonization, which will improve quality of life and
boost technology development. By relying on renewable power sources, innovative power, and
cooling technologies, data centers will continue to reduce their own emissions while mitigating
major emissions from other sectors and leveraging Artificial Intelligence.
What's included
10 videos
4 readings
4 assignments
Show info about module content
10 videos•Total 22 minutes
Welcome•1 minute
What's in it for me?•1 minute
Sustainability in Data Centers•1 minute
Current Trends and Challenges•3 minutes
Impact of Data Centers on Sustainability•4 minutes
Impact of AI•3 minutes
How Data Centers Enable Economy-Wide Decarbonization•3 minutes
Artificial Intelligence Supports Sustainabilty•2 minutes
Green AI and Sustainable AI Model Optimization•2 minutes
Summary•1 minute
4 readings•Total 24 minutes
Welcome to the Course: Setting Expectations for Your Learning Journey!•10 minutes
What is the Jevons Paradox? •10 minutes
How Six AI Attributes Change Data Center Design•2 minutes
Course Resource: Schneider Electric White Paper•2 minutes
4 assignments•Total 36 minutes
Graded Assessment•18 minutes
Knowledge Check - Foundations of Data Center Sustainability•6 minutes
Knowledge Check - AI, Efficiency, and the Growing Data Center Economy•6 minutes
Knowledge Check - AI and Data Centers for Decarbonization•6 minutes
Decarbonizing the Power Sector: The Critical Role of AI and Data Centers
Module 2•1 hour to completeModule details
The decarbonization of energy generation and distribution is an important objective because sizable
emissions from this sector are widespread across the entire economy. The power sector requires
electrification with more renewables in the energy mix. Equally important is extensive digitalization that will
help manage transformation. This process will generate large amounts of data, which is impossible without
including data centers in infrastructure. By housing Artificial Intelligence, data centers will allow smart
management of supply and demand to mitigate carbon footprint. Energy generation and distribution are
going to be significantly more resilient and secure thanks to the broader deployment of data centers.
What's included
12 videos
1 reading
5 assignments
1 plugin
Show info about module content
12 videos•Total 24 minutes
Welcome•1 minute
What's in it for me?•1 minute
Decarbonizing the Energy Sector Through AI and Digitalization•2 minutes
Digitalization and the Future of Power Generation and Distribution•3 minutes
How Data Centers Influence Efficient Power Generation•2 minutes
How Artificial Intelligence Enables Efficient and Renewable Power Systems•3 minutes
Green Power Generation Enabled by AI and Data Centers•3 minutes
Sustainable Energy Storage for Distributed Power Systems•3 minutes
How Data Centers Support the Decarbonization of Operations in Power Sector•3 minutes
How AI is Used with Power Distribution•2 minutes
Urbanization, Decentralization, and AI-Enabled Power Sector Transformation•2 minutes
Summary•1 minute
1 reading•Total 2 minutes
Course Resource: Schneider Electric White Paper•2 minutes
5 assignments•Total 39 minutes
Graded Assessment•18 minutes
Knowledge Check - AI and Digitalization in the Energy Sector•6 minutes
Knowledge Check - AI and Data Centers in Clean Power Generation•6 minutes
Knowledge Check - AI‑Enabled Energy Storage and Distributed Systems•3 minutes
Knowledge Check - AI and Data Centers in Power System Transformation•6 minutes
1 plugin•Total 15 minutes
Practice Activity: AI for Smart Energy Systems•15 minutes
Constructing a Greener Future: How Data Centers Power AI-Driven Decarbonization of Building
Module 3•1 hour to completeModule details
Reducing pollution from commercial and residential buildings is based on electrification and consecutive
digitalization. Both actions show tremendous potential to deliver expected decarbonization through
increased renewables share in energy supply, smart management of HVAC that respects building
occupancy, and control of emerging electrical loads like EV charging stations located in buildings. Predictive
tools driving that transformation are housed in data centers. AI will be used for battling buildings emissions
from operations and mitigating embedded carbon, but large data generated in the process requires IT
infrastructure. Sectorial efficiency gains achieved thanks to smart tools are impossible without data centers
providing computing power and low latency transfers.
What's included
9 videos
1 reading
4 assignments
Show info about module content
9 videos•Total 15 minutes
Welcome•1 minute
What's in it for me ?•1 minute
Decarbonizing the Buildings Sector Through AI and Data Centers •2 minutes
Digitalization, Monitoring, and Predictive Analytics for Building Decarbonization•1 minute
Smart Buildings, Hybrid Work, and AI-Managed Operations•2 minutes
Enabled Energy Management and Renewable Integration in Buildings•1 minute
Impact of Artificial Intelligence (AI) on the Buildings Sector•2 minutes
How AI enables Electrification of the Buildings Sector•3 minutes
Summary•1 minute
1 reading•Total 2 minutes
Course Resource: Schneider Electric White Paper•2 minutes
4 assignments•Total 36 minutes
Graded Assessment•18 minutes
Knowledge Check - AI and Data Centers in Building Decarbonization•6 minutes
Knowledge Check - AI‑Managed Smart Buildings and Energy Systems•6 minutes
Knowledge Check - AI and Electrification in the Buildings Sector•6 minutes
Decarbonizing Manufacturing and Production: The Impact of AI on Data Center Efficiency
Module 4•1 hour to completeModule details
Substantial contributions to global emissions coming from manufacturing are likely to decrease thanks to
improvements in operational efficiency. Digitalization of the production sector will lead a transformation
towards optimized processes and have the potential to change the existing paradigm driving IT/OT
convergence. In the foreseeable future, Artificial Intelligence that relies on undisturbed access to data
centers will drive decarbonization of manufacturing. Smart algorithms employed in automation and
predictive tools will decrease asset down time and generate vast amounts of data, which need to be
securely transferred, processed, and stored. Data centers are an inevitable element in reducing carbon
footprint in manufacturing.
What's included
12 videos
2 readings
4 assignments
1 plugin
Show info about module content
12 videos•Total 24 minutes
Welcome•1 minute
What's in it for me?•2 minutes
Digitalization and Industry 4.0 for Manufacturing Decarbonization•2 minutes
AI, Data Centers, and the Future of Sustainable Manufacturing•3 minutes
Data Centers in Industrial Operations•3 minutes
AI-Driven Energy Management and Decarbonization in Manufacturing•1 minute
AI-Driven Waste Reduction and Real-Time Production Optimization•1 minute
AI-Improved Product and Process Design Using Digital Twins•1 minute
Automation and Human-Machine Interaction in Smart Manufacturing•3 minutes
How AI is Driving the Change in the Manufacturing Industry•2 minutes
AI-Driven Manufacturing Intelligence, Automation, and Cybersecurity•3 minutes
Summary •2 minutes
2 readings•Total 4 minutes
Industry 4.0 Enabled by Data Centers•2 minutes
Course Resource: Schneider Electric White Paper•2 minutes
4 assignments•Total 36 minutes
Graded Assessment•18 minutes
Knowledge Check - AI, Digitalization, and Manufacturing Decarbonization•6 minutes
Knowledge Check - AI and Data Centers in Smart Manufacturing•6 minutes
Knowledge Check - AI, Industry 4.0, and Intelligent Manufacturing•6 minutes
1 plugin•Total 15 minutes
Practice Activity - AI‑Powered Product Design •15 minutes
Harnessing Data Centers: Driving Decarbonization in Transportation through AI and Electrification
Module 5•1 hour to completeModule details
The global carbon footprint is largely made of emissions from transportation. Electrification and digitalization
of the sector will strongly reduce pollution and increase sustainability, thanks to green fuel and optimization
of operations. However, smart management of EV charging stations or automated supervision of fleets with
predictive algorithms driving decarbonization will generate large amounts of data. Data centers are an
essential element of the transport evolution, enabling AI algorithms participation in sectorial transformation.
Smart tools substantially increase data traffic and require low latency, secure networks, and fully accessible
platforms to operate. Optimization and a large part of decarbonization in the transportation sector are
impossible without the broader deployment of data centers.
What's included
13 videos
1 reading
5 assignments
Show info about module content
13 videos•Total 22 minutes
Welcome•1 minute
What's in it for me?•1 minute
Transportation Emissions and the Need for Decarbonization•1 minute
Electrification, Digitalization, and AI-Enabled Transport Systems•3 minutes
AI-Enabled Transport Operations and Smart Mobility•2 minutes
Policy, Behavioral Change, and Digitalization in Transport Decarbonization•2 minutes
AI-Driven Transport Trends Across Modes and Logistics•4 minutes
AI-Driven Autonomous Road Transport and Logistics•2 minutes
Autonomous Maritime and Aviation Transport Enabled by AI•2 minutes
Smart Cities and AI-Enabled Green Transport Systems•1 minute
AI-Driven Fuel Innovation and Supply Chain Decarbonization•1 minute
AI-Enabled Vehicle Technology and Freight Decarbonization•2 minutes
Summary•1 minute
1 reading•Total 2 minutes
Course Resource: Schneider Electric White Paper•2 minutes
5 assignments•Total 42 minutes
Graded Assignment•18 minutes
Knowledge Check - Decarbonizing Transportation with AI and Electrification•6 minutes
Knowledge Check - AI‑Enabled Smart Mobility and Transport Transformation•6 minutes
Knowledge Check - AI‑Driven Autonomous Transportation Systems•6 minutes
Knowledge Check - AI‑Enabled Green Transport and Logistics•6 minutes
Instructor
Taught by Schneider Electric Experts
Schneider Electric
1 Course•879 learners
Offered by
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