Birmingham, AL – Regus at Shipt Tower (Downtown)

420 20th St S, Suite 2200, Birmingham, United States, 35203

The venue is located in downtown Birmingham within the prominent Shipt Tower at 420 North 20th Street, easily reached by car via I‑59, I‑20, or I‑65, with nearby public parking garages. From Birmingham–Shuttlesworth International Airport (BHM), a taxi or rideshare typically takes 10–15 minutes via I‑20 West and US‑31 North. Public transit users can take MAX bus routes stopping on 20th Street or near 4th Avenue North, placing the centre within a few minutes’ walk—offering good access for attendees without cars.

Birmingham, AL – Regus at Chase Corporate Center

1 Chase Corporate Drive, Suite 400, Birmingham, United States, 35244

The venue sits in the Chase Corporate Center just off Highway 31 near I‑459 and Highway 280, within a serene, landscaped corporate campus. Visitors arriving by car benefit from plentiful free parking on-site and adjoining garages. From Birmingham–Shuttlesworth International Airport (BHM), taxis or rideshares take around 15–20 minutes via I‑459 North and Highway 280. Public transit riders can use MAX bus routes stopping close to the corporate park, though most attendees prefer driving or rideshare. The tranquil campus setting offers easy access to nearby gyms, retail, and restaurants for break or post-session gatherings.
NobleProg Training Place, City Birmingham, AL - Regus at One Perimeter Park

Birmingham, AL - Regus at One Perimeter Park

1 Perimeter Park South, Birmingham, United States, 35243

The venue is located in the Perimeter Park business complex off I‑459 near Highway 280, offering easy access by car with ample on-site parking. Visitors arriving by air from Birmingham‑Shuttlesworth International Airport (BHM), about 15 miles away, can expect a traditional taxi or rideshare ride of approximately 20–25 minutes via I‑459 South and Highway 280. Public transit options include nearby Jefferson County Transit buses that run along Valleydale Road, with stops within a few blocks of Perimeter Park, making it reasonably accessible without a car.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours

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

Federated Learning for Finance

2025-08-13 9:30 am
14 hours
Birmingham, AL – Regus at Shipt Tower (Downtown)
$ 2703 (Online)
$ 2703 (Classroom)

Federated Learning for Finance

2025-08-27 9:30 am
14 hours
Birmingham, AL – Regus at Chase Corporate Center
$ 2703 (Online)
$ 2703 (Classroom)

Advanced Federated Learning Techniques

2025-09-10 9:30 am
21 hours
Birmingham, AL - Regus at One Perimeter Park
$ 4054 (Online)
$ 4054 (Classroom)

Federated Learning in IoT and Edge Computing

2025-09-24 9:30 am
14 hours
Birmingham, AL – Regus at Shipt Tower (Downtown)
$ 2703 (Online)
$ 2703 (Classroom)

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