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

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level to advanced-level medical AI developers and data scientists who wish to fine-tune models for clinical diagnosis, disease prediction, and patient outcome forecasting using structured and unstructured medical data.

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

  • Fine-tune AI models on healthcare datasets including EMRs, imaging, and time-series data.
  • Apply transfer learning, domain adaptation, and model compression in medical contexts.
  • Address privacy, bias, and regulatory compliance in model development.
  • Deploy and monitor fine-tuned models in real-world healthcare environments.
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Generative AI and Prompt Engineering in Healthcare

 8 Hours

Generative AI is a technology that creates new content such as text, images, and recommendations based on prompts and data.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals who wish to use generative AI and prompt engineering to improve efficiency, accuracy, and communication in medical contexts.

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

  • Understand the fundamentals of generative AI and prompt engineering.
  • Apply AI tools to streamline clinical, administrative, and research tasks.
  • Ensure ethical, safe, and compliant use of AI in healthcare.
  • Optimize prompts to achieve consistent and accurate results.

Format of the Course

  • Interactive lecture and discussion.
  • Practical exercises and case studies.
  • Hands-on experimentation with AI tools.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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AI for Healthcare using Google Colab

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.

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

  • Implement AI models for healthcare using Google Colab.
  • Use AI for predictive modeling in healthcare data.
  • Analyze medical images with AI-driven techniques.
  • Explore ethical considerations in AI-based healthcare solutions.
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ChatGPT for Healthcare

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at healthcare professionals and researchers who wish to leverage ChatGPT to enhance patient care, streamline workflows, and improve healthcare outcomes.

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

  • Understand the fundamentals of ChatGPT and its applications in healthcare.
  • Utilize ChatGPT to automate healthcare processes and interactions.
  • Provide accurate medical information and support to patients using ChatGPT.
  • Apply ChatGPT for medical research and analysis.
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Generative AI in Healthcare: Transforming Medicine and Patient Care

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply generative AI in the context of healthcare.

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

  • Explain the principles and applications of generative AI in healthcare.
  • Identify opportunities for generative AI to enhance drug discovery and personalized medicine.
  • Utilize generative AI techniques for medical imaging and diagnostics.
  • Assess the ethical implications of AI in medical settings.
  • Develop strategies for integrating AI technologies into healthcare systems.
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AI Agents for Healthcare and Diagnostics

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

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

  • Understand the role of AI agents in healthcare and diagnostics.
  • Develop AI models for medical image analysis and predictive diagnostics.
  • Integrate AI with electronic health records (EHR) and clinical workflows.
  • Ensure compliance with healthcare regulations and ethical AI practices.
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AI in Healthcare

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level healthcare professionals and data scientists who wish to understand and apply AI technologies in healthcare environments.

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

  • Identify key healthcare challenges that AI can address.
  • Analyze AI’s impact on patient care, safety, and medical research.
  • Understand the relationship between AI and healthcare business models.
  • Apply fundamental AI concepts to healthcare scenarios.
  • Develop machine learning models for medical data analysis.
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Agentic AI in Healthcare

 14 Hours

Agentic AI is an approach where AI systems plan, reason, and take tool-using actions to accomplish goals within defined constraints.

This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare and data teams who wish to design, evaluate, and govern agentic AI solutions for clinical and operational use cases.

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

  • Explain agentic AI concepts and constraints in healthcare contexts.
  • Design safe agent workflows with planning, memory, and tool usage.
  • Build retrieval-augmented agents over clinical documents and knowledge bases.
  • Evaluate, monitor, and govern agent behavior with guardrails and human-in-the-loop controls.

Format of the Course

  • Interactive lecture and facilitated discussion.
  • Guided labs and code walkthroughs in a sandbox environment.
  • Scenario-based exercises on safety, evaluation, and governance.

Course Customization Options

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

Multimodal AI for Healthcare

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals, medical researchers, and AI developers who wish to apply multimodal AI in medical diagnostics and healthcare applications.

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

  • Understand the role of multimodal AI in modern healthcare.
  • Integrate structured and unstructured medical data for AI-driven diagnostics.
  • Apply AI techniques to analyze medical images and electronic health records.
  • Develop predictive models for disease diagnosis and treatment recommendations.
  • Implement speech and natural language processing (NLP) for medical transcription and patient interaction.
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Edge AI for Healthcare

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level healthcare professionals, biomedical engineers, and AI developers who wish to leverage Edge AI for innovative healthcare solutions.

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

  • Understand the role and benefits of Edge AI in healthcare.
  • Develop and deploy AI models on edge devices for healthcare applications.
  • Implement Edge AI solutions in wearable devices and diagnostic tools.
  • Design and deploy patient monitoring systems using Edge AI.
  • Address ethical and regulatory considerations in healthcare AI applications.
Read more...

Prompt Engineering for Healthcare

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level healthcare professionals and AI developers who wish to leverage prompt engineering techniques for improving medical workflows, research efficiency, and patient outcomes.

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

  • Understand the fundamentals of prompt engineering in healthcare.
  • Use AI prompts for clinical documentation and patient interactions.
  • Leverage AI for medical research and literature review.
  • Enhance drug discovery and clinical decision-making with AI-driven prompts.
  • Ensure compliance with regulatory and ethical standards in healthcare AI.
Read more...

AI and AR/VR in Healthcare

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level healthcare professionals who wish to apply AI and AR/VR solutions for medical training, surgery simulations, and rehabilitation.

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

  • Understand the role of AI in enhancing AR/VR experiences in healthcare.
  • Use AR/VR for surgery simulations and medical training.
  • Apply AR/VR tools in patient rehabilitation and therapy.
  • Explore the ethical and privacy concerns in AI-enhanced medical tools.
Read more...

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Upcoming Courses

Generative AI and Prompt Engineering in Healthcare

2025-09-29 9:30 am
8 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

2025-10-13 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Agentic AI in Healthcare

2025-10-27 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Generative AI and Prompt Engineering in Healthcare

2025-11-10 9:30 am
8 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Prompt Engineering for Healthcare

2025-11-24 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

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