Bangor, Maine

700 Main St, Suite 3, Bangor, United States, 04401

This venue is conveniently situated near downtown Bangor, with easy access by car via I‑95 and US‑2. There is nearby public parking garages and metered on-street parking. From Bangor International Airport (BGR), about 8 miles northwest, a taxi or rideshare typically takes around 15 minutes via ME‑15 and I‑95 South. The public transit service, BAT Commuter, operates bus routes that run along Main Street with stops just a short walk from the building.
NobleProg Training Place, City Portland, ME - Regus at Congress Street

Portland, ME - Regus at Congress Street

400 Congress St, Suite 300, Portland, United States, 04101

The venue is located in Portland’s central business district on Congress Street, with easy car access via I‑95, I‑295, and US‑1, and several public parking garages nearby. From Portland International Jetport (PWM), roughly 3 km away, a taxi or rideshare via Congress Street takes around 10 minutes. Public transportation is convenient, with the Congress St & Elm St bus stop at the building entrance providing multiple Greater Portland Metro bus routes.

Explore Our Courses

Fine-Tuning and Customizing AI Models on Ollama

 14 Hours

This instructor-led, live training in Maine (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 Maine (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 Maine (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 Maine (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

Deploying and Optimizing LLMs with Ollama

2025-08-25 9:30 am
14 hours
Bangor, Maine
$ 2703 (Online)
$ 2703 (Classroom)

Getting Started with Ollama: Running Local AI Models

2025-09-08 9:30 am
7 hours
Bangor, Maine
$ 1630 (Online)
$ 1630 (Classroom)

Building Private AI Workflows with Ollama

2025-09-22 9:30 am
14 hours
Bangor, Maine
$ 2703 (Online)
$ 2703 (Classroom)

Deploying and Optimizing LLMs with Ollama

2025-10-06 9:30 am
14 hours
Bangor, Maine
$ 2703 (Online)
$ 2703 (Classroom)

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