Gurgaon,- DLF Phase IV - Classroom

63, DLF Galleria Rd, DLF Phase IV, Sector 28, Gurugram, india, 122009

Sector 28 is a Locality in Gurgaon City in Haryana State, India. It is belongs to Gurgaon Division Udyog Vihar Phase 4 . Udyog Vihar 2 , Sector 19 , Sector 22 , Hpvnl Staff Quarters , Udyog Vihar V are the nearby Localities
Gurgaon , Delhi , Bahadurgarh , NOIDA are the nearby Cities to Gurgaon. Bijwasan Rail Way Station , Gurgaon Rail Way Station are the very nearby railway station to Sector 18.

It takes 44 minutes to travel from Dlf Galleria Gurgaon to Noida Sector 18. Approximate driving distance between Dlf Galleria Gurgaon and Noida Sector 18 is 37 kms or 23 miles or 20 nautical miles . Travel time refers to the time taken if the distance is covered by a car.

The classroom is located centrally in phase IV and is close to all the major corporates and startup communities.

Details about Classroom

All the centres have state of the art audio/video webinars/seminars and presentation solutions. We also provide one-on-one Training sessions upon request. We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference. 

For Sales Enquires and Meetings

All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at advanced-level AI researchers, data scientists, and security specialists who wish to implement federated learning techniques for training AI models across multiple edge devices while preserving data privacy. By the end of this training, participants will be able to:
  • Understand the principles and benefits of federated learning in Edge AI.
  • Implement federated learning models using TensorFlow Federated and PyTorch.
  • Optimize AI training across distributed edge devices.
  • Address data privacy and security challenges in federated learning.
  • Deploy and monitor federated learning systems in real-world applications.
Read more...

Federated Learning for Secure AI Collaboration

 14 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at intermediate-level AI and data professionals who wish to understand and implement federated learning techniques for privacy-preserving machine learning and collaborative AI solutions across distributed data sources. By the end of this training, participants will be able to:
  • Understand the core concepts and benefits of federated learning.
  • Implement distributed training strategies for AI models.
  • Apply federated learning techniques to secure data-sensitive collaborations.
  • Explore case studies and practical examples of federated learning in healthcare and finance.
Read more...

Federated Learning in IoT and Edge Computing

 14 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions. By the end of this training, participants will be able to:
  • Understand the principles and benefits of Federated Learning in IoT and edge computing.
  • Implement Federated Learning models on IoT devices for decentralized AI processing.
  • Reduce latency and improve real-time decision-making in edge computing environments.
  • Address challenges related to data privacy and network constraints in IoT systems.
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Federated Learning for Finance

 14 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning techniques to enhance data privacy and collaborative AI in the financial industry. By the end of this training, participants will be able to:
  • Understand the principles and benefits of Federated Learning in finance.
  • Implement Federated Learning models for privacy-preserving financial applications.
  • Analyze financial data collaboratively without compromising privacy.
  • Apply Federated Learning to real-world financial scenarios, such as fraud detection and risk management.
Read more...

Federated Learning for Healthcare

 21 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to healthcare scenarios, ensuring data privacy and effective collaboration across institutions. By the end of this training, participants will be able to:
  • Understand the role of Federated Learning in healthcare.
  • Implement Federated Learning models while ensuring patient data privacy.
  • Collaborate on AI model training across multiple healthcare institutions.
  • Apply Federated Learning to real-world healthcare case studies.
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Advanced Federated Learning Techniques

 21 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at advanced-level professionals who wish to master cutting-edge Federated Learning techniques and apply them to large-scale AI projects. By the end of this training, participants will be able to:
  • Optimize Federated Learning algorithms for improved performance.
  • Handle non-IID data distributions in Federated Learning.
  • Scale Federated Learning systems for large-scale deployments.
  • Address privacy, security, and ethical considerations in advanced Federated Learning scenarios.
Read more...

Federated Learning for Privacy-Preserving AI

 14 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at intermediate-level professionals who wish to understand and apply Federated Learning to ensure data privacy in AI development. By the end of this training, participants will be able to:
  • Understand the principles and benefits of Federated Learning.
  • Implement privacy-preserving machine learning models using Federated Learning techniques.
  • Address the challenges of data privacy in decentralized AI training.
  • Apply Federated Learning in real-world scenarios across various industries.
Read more...

Introduction to Federated Learning

 14 Hours
This instructor-led, live training in Gurgaon (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamentals of Federated Learning and its practical applications. By the end of this training, participants will be able to:
  • Understand the principles of Federated Learning.
  • Implement basic Federated Learning algorithms.
  • Address data privacy concerns using Federated Learning.
  • Integrate Federated Learning into existing AI workflows.
Read more...

Last Updated:

Upcoming Courses

Federated Learning in IoT and Edge Computing

2025-06-09 09:30
14 hours
Gurgaon,- DLF Phase IV - Classroom
168,661 INR (Online)
172,861 INR (Classroom)

Federated Learning for Privacy-Preserving AI

2025-06-23 09:30
14 hours
Gurgaon,- DLF Phase IV - Classroom
168,661 INR (Online)
172,861 INR (Classroom)

Federated Learning and Edge AI

2025-07-07 09:30
21 hours
Gurgaon,- DLF Phase IV - Classroom
252,991 INR (Online)
259,291 INR (Classroom)

Federated Learning in IoT and Edge Computing

2025-07-21 09:30
14 hours
Gurgaon,- DLF Phase IV - Classroom
168,661 INR (Online)
172,861 INR (Classroom)

Federated Learning for Secure AI Collaboration

2025-08-04 09:30
14 hours
Gurgaon,- DLF Phase IV - Classroom
168,661 INR (Online)
172,861 INR (Classroom)

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