Truro - Commercial Street

1 Commercial St., Truro, Canada, B2N 3H8

Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location using the nearby Truro Station, and if you’re driving, Trunk 2 and Trunk 4 highways intersect in the town.

Halifax - Purdy Wharf

1959 Upper Water Street, Halifax, Canada, B3J 3N2

Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has a bus stop right outside, 3 blocks from Citadel Hill Historic Site and Halifax City Hall.

Dartmouth - Metropolitan Place

99 Wyse Road, Dartmouth, Canada, B3A 4S5

Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.

Metropolitan Place

Suite 1100, Lower Water Street, Halifax, Canada, B3J 1S9

Elevate Your Business with Stunning Waterfront Views Experience a prestigious oceanfront workspace in the heart of Harborview. Metropolitan Place is a highly sought-after business destination, just steps from Alderney Landing, offering a prime setting for leading enterprises. Impress your guests with this iconic glass skyscraper, boasting panoramic views of the Atlantic Ocean, Bedford Basin, and Georges Island. With easy access to major highways and the nearby ferry terminal, commuting is effortless. Plus, an array of restaurants and cafés ensures convenient options for business lunches and client meetings.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours
This instructor-led, live training in Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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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Upcoming Courses

Federated Learning in IoT and Edge Computing

2025-05-19 09:30
14 hours
Metropolitan Place
CA$ 3,514 (Online)
CA$ 5,414 (Classroom)

Federated Learning for Privacy-Preserving AI

2025-06-02 09:30
14 hours
Metropolitan Place
CA$ 3,514 (Online)
CA$ 5,414 (Classroom)

Federated Learning for Finance

2025-06-16 09:30
14 hours
Metropolitan Place
CA$ 3,514 (Online)
CA$ 5,414 (Classroom)

Federated Learning for Healthcare

2025-06-30 09:30
21 hours
Metropolitan Place
CA$ 5,270 (Online)
CA$ 8,120 (Classroom)

Introduction to Federated Learning

2025-07-14 09:30
14 hours
Metropolitan Place
CA$ 3,514 (Online)
CA$ 5,414 (Classroom)

Federated Learning for Healthcare

2025-07-28 09:30
21 hours
Metropolitan Place
CA$ 5,270 (Online)
CA$ 8,120 (Classroom)

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