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CCE Home› CCE-CDC SHORT TERM COURSES› Workshop on Grid Integration of AI Data Centers: Current Status, and Path Ahead
CCE-CDC SHORT TERM COURSES · 17TH DEC TO 19TH DEC

Online Course on

Workshop on Grid Integration of AI Data Centers: Current Status, and Path Ahead

·17TH DEC TO 19TH DEC

A workshop exploring the challenges and opportunities of integrating energy-intensive AI data centers into the power grid, with a focus on current developments, grid reliability, and the path toward sustainable integration.

Offline IISc Grading Certificate Prof. Sarasij Das, IISc
17th Dec to 19th Dec
DURATION
Offline
MODE
COURSE DETAILS
Workshop on Grid Integration of AI Data Centers: Current Status, and Path Ahead
(17th Dec to 19th Dec)
Start Date17 Dec 2026
Duration17th Dec to 19th Dec
ModeOffline
Timings9:00 AM - 6:00 PM

Know the Course Instructor

Prof. Sarasij Das

Prof. Sarasij Das

ASSOCIATE PROFESSOR

He is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Science (IISc), Bengaluru. His research interests include Power Systems, Smart Grids, and Renewable Energy. He received his PhD from the University of Western Ontario, Canada, and his M.Sc. (Engg.) in Power Systems from IISc.

Dept. of Electrical Engineering, IISc

Objectives of the Course

Explores the grid integration of AI data centers

Covering power delivery, ccoling systems, stability challenges, cybersecurity, market tariffs

Practical simulation sessions to prepare participants for future demands

Course Syllabus

01

Data Centres in the Modern Grid: AI Load Growth, Demand Trends and Grid Challenges

02

Energy Aware AI Algorithm Scheduling and Running in Data Centres

03

Power Delivery Architecture and Electrical Load Characteristics of AI Data Centre

04

Cooling Systems and Cooling Loads in Data Centres

05

Energy Water Connection in Data Centre and Impact on Environment

06

Data Centre Planning, Siting and Flexibility

07

Medium-Voltage Converters and Solid-State Transformers for Data Centres

08

Power Electronics for AI Data Centre Servers

09

Power System Dynamics and Stability Issues with Data Centre Loads

10

Gird Codes and Modelling of Data Centres for Grid Connection Studies

11

Limiting the Impact of AI Data Centres on Fatigue Life of Thermal Turbine Generators in the Grid

12

Cybersecurity of Data Centre Infrastructure

13

AI/ML Models for Data Centre Control

14

Tariffs, and Electricity Markets for Data Centre Loads

15

Building a Co-Simulation Suite for AI Data Centre–Power Grid Interactions: Design and Early Results

16

Hands-on Session on MW-scale AI Data Centre Simulations

Who Can Apply & Who Can Benefit?

Who Can Apply?

  • B.Tech/B.E
  • Basic knowledge of power systems

Who Can Benefit?

  • Engineering students, post docs, academic faculty, and industry professionals in electrical power, data centers, and AI infrastructure seeking expertise in grid integration, power delivery, cooling systems, stability, and simulations

Class Schedule

DATE
17 Dec 2026
CLASS START DATE
TIME
9:00 AM - 6:00 PM
CLASS TIMINGS
MODE
Offline
MODE OF INSTRUCTION
DUR
17th Dec to 19th Dec
COURSE DURATION

Fee Structure

Category Fee
Students ₹10,000 + GST
Post-Docs ₹12,000 + GST
Faculty ₹14,000 + GST
Industry ₹16,000 + GST

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