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

Advanced Ollama Model Debugging & Evaluation

 35 Hours

Advanced Ollama Model Debugging & Evaluation is an in-depth course focused on diagnosing, testing, and measuring model behavior when running local or private Ollama deployments.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI engineers, ML Ops professionals, and QA practitioners who wish to ensure reliability, fidelity, and operational readiness of Ollama-based models in production.

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

  • Perform systematic debugging of Ollama-hosted models and reproduce failure modes reliably.
  • Design and execute robust evaluation pipelines with quantitative and qualitative metrics.
  • Implement observability (logs, traces, metrics) to monitor model health and drift.
  • Automate testing, validation, and regression checks integrated into CI/CD pipelines.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on labs and debugging exercises using Ollama deployments.
  • Case studies, group troubleshooting sessions, and automation workshops.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Fine-Tuning and Customizing AI Models on Ollama

 14 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.

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

  • Set up an efficient environment for fine-tuning AI models on Ollama.
  • Prepare datasets for supervised fine-tuning and reinforcement learning.
  • Optimize AI models for performance, accuracy, and efficiency.
  • Deploy customized models in production environments.
  • Evaluate model improvements and ensure robustness.
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Building Private AI Workflows with Ollama

 14 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.

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

  • Deploy and configure Ollama for private AI processing.
  • Integrate AI models into secure enterprise workflows.
  • Optimize AI performance while maintaining data privacy.
  • Automate business processes with on-premise AI capabilities.
  • Ensure compliance with enterprise security and governance policies.
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Deploying and Optimizing LLMs with Ollama

 14 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

  • Set up and deploy LLMs using Ollama.
  • Optimize AI models for performance and efficiency.
  • Leverage GPU acceleration for improved inference speeds.
  • Integrate Ollama into workflows and applications.
  • Monitor and maintain AI model performance over time.
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Getting Started with Ollama: Running Local AI Models

 7 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.

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

  • Understand the fundamentals of Ollama and its capabilities.
  • Set up Ollama for running local AI models.
  • Deploy and interact with LLMs using Ollama.
  • Optimize performance and resource usage for AI workloads.
  • Explore use cases for local AI deployment in various industries.
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Upcoming Courses

Getting Started with Ollama: Running Local AI Models

2025-09-29 9:30 am
7 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 1630 (Online)
$ 1630 (Classroom)

Building Private AI Workflows with Ollama

2025-10-13 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

Deploying and Optimizing LLMs with Ollama

2025-10-27 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

Building Private AI Workflows with Ollama

2025-11-10 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

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