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.

Washington, DC - Paramount Building

1775 I St NW, Washington, United States, 20006

The venue is in the heart of downtown DC in the Paramount Building on I Street NW, accessible via I-395, US-1, or via Pennsylvania Avenue. Guests can park in nearby public garages including the Colonial Parking garage adjacent to the building. From Ronald Reagan Washington National Airport (DCA), it’s a short 10–15 minute drive via George Washington Memorial Parkway and Maine Avenue SW. Public transit is excellent: the building is a 3-minute walk from Farragut West Metro station (Blue, Orange, Silver lines), and several Metrobus lines travel along I, K, and 17th Streets, making it highly accessible without a car.
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

Ollama for Responsible AI and Governance

 14 Hours

Ollama is a platform for running large language and multimodal models locally, supporting governance and responsible AI practices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement fairness, transparency, and accountability in Ollama-powered applications.

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

  • Apply responsible AI principles in Ollama deployments.
  • Implement content filtering and bias mitigation strategies.
  • Design governance workflows for AI alignment and auditability.
  • Establish monitoring and reporting frameworks for compliance.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on governance workflow design labs.
  • Case studies and compliance-focused exercises.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Ollama & Data Privacy: Secure Deployment Patterns

 14 Hours

Ollama is a platform that allows running large language and multimodal models locally while supporting secure deployment strategies.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to deploy Ollama with strong data privacy and regulatory compliance measures.

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

  • Deploy Ollama securely in containerized and on-prem environments.
  • Apply differential privacy techniques to safeguard sensitive data.
  • Implement secure logging, monitoring, and auditing practices.
  • Enforce data access control aligned with compliance requirements.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on labs with secure deployment patterns.
  • Compliance-focused case studies and practical exercises.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Prompt Engineering Mastery with Ollama

 14 Hours

Ollama is a platform that enables running large language and multimodal models locally.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to master prompt engineering techniques to optimize Ollama outputs.

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

  • Design effective prompts for diverse use cases.
  • Apply techniques such as priming and chain-of-thought structuring.
  • Implement prompt templates and context management strategies.
  • Build multi-stage prompting pipelines for complex workflows.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on exercises with prompt design.
  • Practical implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Ollama Scaling & Infrastructure Optimization

 21 Hours

Ollama is a platform for running large language and multimodal models locally and at scale.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level engineers who wish to scale Ollama deployments for multi-user, high-throughput, and cost-efficient environments.

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

  • Configure Ollama for multi-user and distributed workloads.
  • Optimize GPU and CPU resource allocation.
  • Implement autoscaling, batching, and latency reduction strategies.
  • Monitor and optimize infrastructure for performance and cost efficiency.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on deployment and scaling labs.
  • Practical optimization exercises in live environments.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Multimodal Applications with Ollama

 21 Hours

Ollama is a platform that enables running and fine-tuning large language and multimodal models locally.

This instructor-led, live training (online or onsite) is aimed at advanced-level ML engineers, AI researchers, and product developers who wish to build and deploy multimodal applications with Ollama.

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

  • Set up and run multimodal models with Ollama.
  • Integrate text, image, and audio inputs for real-world applications.
  • Build document understanding and visual QA systems.
  • Develop multimodal agents capable of reasoning across modalities.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on practice with real multimodal datasets.
  • Live-lab implementation of multimodal pipelines using Ollama.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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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.
Read more...

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Upcoming Courses

Multimodal Applications with Ollama

2025-12-01 9:30 am
21 hours
Washington, DC - Paramount Building
$ 4054 (Online)
$ 4054 (Classroom)

Advanced Ollama Model Debugging & Evaluation

2025-12-15 9:30 am
35 hours
Washington, DC - Regus One Franklin Square
$ 6757 (Online)
$ 6757 (Classroom)

Ollama & Data Privacy: Secure Deployment Patterns

2025-12-29 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Advanced Ollama Model Debugging & Evaluation

2026-01-12 9:30 am
35 hours
Washington, DC - Paramount Building
$ 6757 (Online)
$ 6757 (Classroom)

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