Hasselt

Holiday Inn Hasselt, Kattegatstraat 1, Hasselt, Belgium, 3500 Hasselt

Holiday Inn Hasselt's 5 modern meeting rooms can accommodate up to 250 delegates. All meeting rooms have natural daylight. Free wireless internet throughout the hotel. Welcome coffee and coffee breaks will be served in our lobby by our friendly staff. City center hotel, next to the harbour! Modern Hasselt hotel offers free WiFi, a brasserie, and a mini gym Holiday Inn® Hasselt places you close to the city's central bars and restaurants. A 10-minute walk away, Hasselt station is served by local and regional trains. Hotel guests enjoy on-site parking discounts. Brussels Airport is a 50-minute drive away and Liège Airport is just 35 minutes away. Around the corner from the hotel, Modemuseum Hasselt traces the history of fashion with collections from the 18th century to the present. Five minutes away, the Jenevermuseum examines jenever, Belgium's juniper-flavoured national liquor. Stroll past cherry trees and koi ponds in the Japanese Garden, a 20-minute walk from the hotel. Opposite the park, the Trixxo Arena hosts international concert and event programmes. Here for work? Host up to 250 delegates in the hotel's five naturally lit meeting rooms. Catering is available upon request and there's free WiFi throughout the hotel. Enjoy city or canal views from the stylish guestrooms of this welcoming hotel where kids stay and eat free. Start your day with a buffet breakfast in the hotel's modern Brasserie De Boulevard, and enjoy our traditional Belgian cuisine. Unwind with a mini gym workout or a sauna session before meeting friends for drinks at the bar.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours
This instructor-led, live training in Hasselt (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.
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Federated Learning for Secure AI Collaboration

 14 Hours
This instructor-led, live training in Hasselt (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.
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Federated Learning in IoT and Edge Computing

 14 Hours
This instructor-led, live training in Hasselt (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 Hasselt (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.
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Federated Learning for Healthcare

 21 Hours
This instructor-led, live training in Hasselt (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 Hasselt (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.
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Federated Learning for Privacy-Preserving AI

 14 Hours
This instructor-led, live training in Hasselt (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.
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Introduction to Federated Learning

 14 Hours
This instructor-led, live training in Hasselt (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...

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Provisional Upcoming Courses (Contact Us For More Information)

Federated Learning in IoT and Edge Computing

2025-05-15 09:30
14 hours
Hasselt
2550 EUR (Online)
3550 EUR (Classroom)

Federated Learning in IoT and Edge Computing

2025-05-29 09:30
14 hours
Hasselt
2550 EUR (Online)
3550 EUR (Classroom)

Federated Learning for Healthcare

2025-06-16 09:30
21 hours
Hasselt
3750 EUR (Online)
5250 EUR (Classroom)

Federated Learning in IoT and Edge Computing

2025-06-26 09:30
14 hours
Hasselt
2550 EUR (Online)
3550 EUR (Classroom)

Federated Learning for Finance

2025-07-10 09:30
14 hours
Hasselt
2550 EUR (Online)
3550 EUR (Classroom)

Federated Learning for Finance

2025-07-24 09:30
14 hours
Hasselt
2550 EUR (Online)
3550 EUR (Classroom)

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