Charleston, WV – At Quarrier Street

1038 Quarrier St, Suite 100, Charleston, United States, 25301

The venue is located in the heart of Charleston’s downtown business district on Quarrier Street, easily reachable by car via I‑64 or I‑77, with several public parking garages and metered street parking nearby. From Yeager Airport (CRW), around 7 miles east, taxis or rideshares usually take 15–20 minutes via WV‑114 and I‑64 East. Public transit is available via Kanawha Valley Regional Transportation Authority (KRT) buses that stop along Quarrier and Leon Sullivan Way, with the main train station about 1 km away—making the venue accessible for attendees without a car.

Morgantown, WV – Regus at Suncrest Towne Centre

600 Suncrest Towne Centre Drive, 3rd Floor, Morgantown, United States, 26505

The venue is located in the Suncrest Towne Centre office park off US 119 and Morgantown’s University Avenue, with easy car access via I‑79 and I‑68 and free ample on-site parking. From Morgantown Municipal Airport (MGW), a taxi or rideshare takes around 10–15 minutes via US‑119 North. If you’re coming from Pittsburgh International Airport (PIT), a drive of about 1.5 hours along I‑79 South gets you there. Attendees using public transit can take the Mountain Line bus to the Suncrest Town Centre stop, located steps from the entrance.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours

This instructor-led, live training in West Virginia (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 West Virginia (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

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This instructor-led, live training in West Virginia (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

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This instructor-led, live training in West Virginia (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

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This instructor-led, live training in West Virginia (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.
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  • Apply Federated Learning to real-world healthcare case studies.
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Advanced Federated Learning Techniques

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This instructor-led, live training in West Virginia (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.

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Federated Learning for Privacy-Preserving AI

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This instructor-led, live training in West Virginia (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

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This instructor-led, live training in West Virginia (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.
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Upcoming Courses

Federated Learning for Finance

2025-08-13 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 2703 (Online)
$ 2703 (Classroom)

Federated Learning for Finance

2025-08-27 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 2703 (Online)
$ 2703 (Classroom)

Advanced Federated Learning Techniques

2025-09-10 9:30 am
21 hours
Charleston, WV – At Quarrier Street
$ 4054 (Online)
$ 4054 (Classroom)

Federated Learning in IoT and Edge Computing

2025-09-24 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 2703 (Online)
$ 2703 (Classroom)

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