Washington, DC - NW Conference Center

20 F St NW, Washington, United States, 20001

The venue is situated in the Capitol Hill area on F Street NW, with easy driving access via Massachusetts Avenue and I-395; paid parking is available on-site and in nearby garages. From Ronald Reagan Washington National Airport (DCA), about 5 miles away, a taxi or rideshare via I-395 North typically takes 15–20 minutes. From Dulles International Airport (IAD), approximately 26 miles away, the trip via the Dulles Access Road and I-66/I-395 takes roughly 35–45 minutes. Public transit is extremely convenient with Union Station Metro just one block away (Red Line) and multiple Metrobus routes along F, H, and G Streets NW.
NobleProg Training Place, City Washington, DC - Regus One Franklin Square

Washington, DC - Regus One Franklin Square

1300 I Street NW, Suite 400E, Washington, United States, 20005

The venue sits prominently at One Franklin Square, in downtown Washington, DC, easily reachable by car via Massachusetts Avenue or I‑395 with paid garage parking available in the Franklin Square complex. From Ronald Reagan Washington National Airport (DCA), around 5 miles away, taxi or rideshare via I‑395 typically takes 15–20 minutes. From Dulles International Airport (IAD), approximately 26 miles away, the journey via the Dulles Access Road and I‑66/I‑395 takes about 35–45 minutes. For public transit, McPherson Square Metro Station (Orange, Silver, and Blue lines) is a short two-block walk, and multiple Metrobus routes run along I Street NW, providing convenient access to the venue.

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 Washington D.C. (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 Washington D.C. (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 Washington D.C. (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 Washington D.C. (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
Washington, DC - Regus One Franklin Square
$ 1630 (Online)
$ 1630 (Classroom)

Building Private AI Workflows with Ollama

2025-10-13 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Deploying and Optimizing LLMs with Ollama

2025-10-27 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Building Private AI Workflows with Ollama

2025-11-10 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

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