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.

Subcategories (1)

Intelligent Applications

Intelligent Applications

Explore Our Courses

AI Inference and Deployment with CloudMatrix

 21 Hours

CloudMatrix is Huawei’s unified AI development and deployment platform designed to support scalable, production-grade inference pipelines.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform with CANN and MindSpore integration.

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

  • Use CloudMatrix for model packaging, deployment, and serving.
  • Convert and optimize models for Ascend chipsets.
  • Set up pipelines for real-time and batch inference tasks.
  • Monitor deployments and tune performance in production settings.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of CloudMatrix with real deployment scenarios.
  • Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

  • To request a customized training for this course based on your AI infrastructure or cloud environment, please contact us to arrange.
Read more...

Building Intelligent Applications with AI and ML

 28 Hours

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

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and
software developers who wish to build intelligent applications using AI and ML.

  • Understand the advanced concepts and technologies behind AI and ML.
  • Analyze and visualize data to inform AI/ML model development.
  • Build, train, and deploy AI/ML models effectively.
  • Create intelligent applications that can solve real-world problems.
  • Evaluate the ethical implications of AI applications in various industries.
Read more...

Intelligent Applications Advanced

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

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

  • Implement and analyze deep learning architectures.
  • Apply machine learning at scale in a distributed computing environment.
  • Design and execute reinforcement learning models for decision-making.
  • Develop sophisticated NLP systems for language understanding.
  • Utilize computer vision techniques for image and video analysis.
  • Address ethical considerations in the development and deployment of AI systems.
Read more...

AI Engineering Fundamentals

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.

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

  • Understand the core concepts and technologies behind AI and machine learning.
  • Implement basic machine learning models using TensorFlow and PyTorch.
  • Apply AI techniques to solve practical problems in software development.
  • Manage and maintain AI projects using best practices in AI engineering.
  • Recognize the ethical implications and responsibilities involved in developing AI systems.
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Intelligent Applications Fundamentals

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

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

  • Understand the history, principles, and impact of artificial intelligence.
  • Identify and apply different machine learning algorithms.
  • Manage and analyze data effectively for AI applications.
  • Recognize the practical applications and limitations of AI in different sectors.
  • Discuss the ethical considerations and societal implications of AI technology.
Read more...

GPU Programming on Biren AI Accelerators

 21 Hours

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

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

  • Understand Biren GPU architecture and memory hierarchy.
  • Set up the development environment and use Biren’s programming model.
  • Translate and optimize CUDA-style code for Biren platforms.
  • Apply performance tuning and debugging techniques.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of Biren SDK in sample GPU workloads.
  • Guided exercises focused on porting and performance tuning.

Course Customization Options

  • To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.
Read more...

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Testimonials (1)

Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.

Ireneusz - Inter Cars S.A.

Course - Intelligent Applications Fundamentals

Upcoming Courses

Intelligent Applications Advanced

2025-09-08 9:30 am
21 hours
Washington, DC - NW Conference Center
$ 4054 (Online)
$ 4054 (Classroom)

Building Intelligent Applications with AI and ML

2025-09-22 9:30 am
28 hours
Washington, DC - Regus One Franklin Square
$ 5405 (Online)
$ 5405 (Classroom)

AI Inference and Deployment with CloudMatrix

2025-10-06 9:30 am
21 hours
Washington, DC - NW Conference Center
$ 4054 (Online)
$ 4054 (Classroom)

Intelligent Applications Advanced

2025-10-20 9:30 am
21 hours
Washington, DC - Regus One Franklin Square
$ 4054 (Online)
$ 4054 (Classroom)

AI Engineering Fundamentals

2025-11-03 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Intelligent Applications Fundamentals

2025-11-17 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

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