Shelton, CT – Regus at One Reservoir Corporate Centre

4 Research Drive, Suite 402, Shelton, United States, 06484

The venue is located within the One Reservoir Corporate Centre business park on Research Drive, easily accessible by car via Route 8 or the Wilbur Cross Parkway, with ample free on-site and adjacent parking. From Tweed New Haven Airport (HVN), approximately 19 miles south, a taxi or rideshare typically takes 25–30 minutes via Route 34 and I‑95 North. Public transit is available via local bus stops on Waterview Drive and Constitution Boulevard South, within a few minutes’ walk to the building entrance, offering convenient options for attendees without a car.

Bridgeport, CT – Regus at Downtown Bridgeport

1000 Lafayette Blvd Downtown, Suite 1100, Bridgeport, United States, 06604

The venue is centrally located in Bridgeport’s downtown core at 1000 Lafayette Boulevard, easily accessible by car via I‑95 and US‑1, with several parking garages nearby and on-site amenities. From Bradley International Airport (BDL), approximately 50 miles north, a taxi or rideshare typically takes 60–70 minutes via I‑84 and I‑95 South. For those using public transit, Metro-North Rail’s Bridgeport Station is about a 5-minute walk from the building, and local Greater Bridgeport Transit (GBT) buses serve stops along Broad and Fairfield Avenues, placing the venue within a short walk for commuters.

Explore Our Courses

SLMs for Smart Cities: Urban Planning and Management with AI

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This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level urban planners, city administrators, and smart city solution developers who wish to implement Small Language Models (SLMs) in smart city projects to improve urban living.

By the end of this training, participants will be able to:

  • Understand the application of SLMs in smart cities.
  • Integrate SLMs with urban data sets for enhanced decision-making.
  • Develop strategies for deploying SLMs in urban management systems.
  • Assess the impact of SLMs on urban planning and smart city solutions.
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SLMs for Educational Tech: Tailoring AI for Learning and Development

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This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level educational technologists, instructional designers, and AI developers in education who wish to integrate Small Language Models (SLMs) into educational platforms to enhance teaching and learning processes.

By the end of this training, participants will be able to:

  • Understand the role of SLMs in educational technology.
  • Design AI-driven learning experiences using SLMs.
  • Implement SLMs in various educational settings.
  • Evaluate the effectiveness of SLMs in learning outcomes.
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Small Language Models (SLMs) for On-Device AI

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This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level IT professionals who wish to deploy small language models directly onto devices with limited processing capabilities, opening up possibilities for innovative applications in various sectors.

By the end of this training, participants will be able to:

  • Understand the challenges and solutions for implementing AI on compact hardware.
  • Optimize and compress AI models for efficient on-device deployment.
  • Utilize modern AI frameworks and tools for on-device model implementation.
  • Design and develop real-time AI applications for mobile and IoT devices.
  • Evaluate and ensure the security and privacy of on-device AI systems.
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Small Language Models (SLMs): Developing Energy-Efficient AI

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This instructor-led, live training in Connecticut (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to develop energy-efficient AI solutions with small language models that are both powerful and environmentally friendly.

By the end of this training, participants will be able to:

  • Understand the impact of AI on energy consumption and the environment.
  • Apply model compression and optimization techniques to reduce the size and energy usage of AI models.
  • Utilize energy-efficient hardware and software frameworks for AI deployment.
  • Implement best practices for sustainable AI development.
  • Advocate for and contribute to sustainable practices in the AI industry.
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Small Language Models (SLMs) for Human-AI Interactions

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This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level data scientists, machine learning and AI researchers who wish to create engaging and efficient AI-powered conversational experiences with small language models.

By the end of this training, participants will be able to:

  • Understand the fundamentals of conversational AI and the role of SLMs.
  • Design and implement user-centric AI interactions.
  • Develop and train SLMs for interactive applications.
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Small Language Models (SLMs) for Domain-Specific Applications

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This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level data scientists and machine learning engineers who wish to create and apply small language models tailored for specific domains such as legal, medical, and technical fields.

By the end of this training, participants will be able to:

  • Understand the importance and application of domain-specific language models.
  • Curate and preprocess specialized datasets for model training.
  • Train and fine-tune language models for domain-specific applications.
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Small Language Models (SLMs): Applications and Innovations

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This instructor-led, live training in Connecticut (online or onsite) is aimed at beginner-level to intermediate-level data scientists and developers who wish to implement and leverage Small Language Models in various applications.

By the end of this training, participants will be able to:

  • Understand the architecture and functionality of Small Language Models.
  • Implement SLMs for tasks such as text generation and sentiment analysis.
  • Optimize and fine-tune SLMs for specific use cases.
  • Deploy SLMs in resource-constrained environments.
  • Evaluate and interpret the performance of SLMs in real-world scenarios.
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Upcoming Courses

Small Language Models (SLMs): Developing Energy-Efficient AI

2025-10-06 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

Small Language Models (SLMs): Developing Energy-Efficient AI

2025-10-20 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

Small Language Models (SLMs): Applications and Innovations

2025-11-03 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

Small Language Models (SLMs): Developing Energy-Efficient AI

2025-11-17 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

Small Language Models (SLMs) for Human-AI Interactions

2025-12-01 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

Small Language Models (SLMs) for Human-AI Interactions

2025-12-15 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

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