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 - Capitol Hill

Washington, DC - Capitol Hill

300 New Jersey Avenue NW, Washington, United States, 20001

This venue is centrally located in the Capitol Hill district of Washington, D.C., with direct car access via Constitution Avenue and I‑395. Paid garage parking is available in the building and nearby. From Ronald Reagan Washington National Airport (DCA), located about 5 miles away, it takes 15–20 minutes by taxi or rideshare via I‑395 North. Union Station is within walking distance—offering access to the Red Line Metro, Amtrak, MARC, and VRE commuter rail. Several Metrobus routes and circulator buses also serve New Jersey Avenue and adjacent streets, making the venue highly accessible by public transit.
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

AGI: A Deep Dive into Cognitive Architectures

 14 Hours

This instructor-led, live training in District of Columbia (online or onsite) is aimed at advanced-level cognitive scientists, AI researchers, and developers who are interested in deepening their knowledge of AGI and cognitive architectures.

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

  • Understand the fundamental principles of cognitive architectures.
  • Explore various AGI models and their applications.
  • Analyze cognitive processes and their integration in AI systems.
  • Evaluate different cognitive architecture frameworks for AGI.
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Human-Machine Collaboration in the Age of AGI

 14 Hours

This instructor-led, live training in District of Columbia (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to understand how AGI transforms human-machine interactions and learn strategies to foster effective collaboration between employees and AI systems.

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

  • Understand the fundamentals of AGI and its workplace applications.
  • Identify opportunities for human-machine collaboration.
  • Address challenges and risks associated with AI integration.
  • Develop strategies for fostering a collaborative AI-driven workplace.
  • Prepare the workforce for AGI-enabled roles and responsibilities.
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AGI System Design and Development

 21 Hours

This instructor-led, live training in District of Columbia (online or onsite) is aimed at advanced-level participants who wish to master the principles and techniques for designing AGI systems, from concept to deployment.

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

  • Design robust architectures for AGI systems.
  • Apply advanced machine learning techniques for general intelligence tasks.
  • Optimize AGI systems for performance and scalability.
  • Address ethical and safety considerations in AGI design.
  • Collaborate effectively in interdisciplinary AGI development teams.
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AGI for Real-World Applications: Opportunities and Risks

 14 Hours

This instructor-led, live training in District of Columbia (online or onsite) is aimed at intermediate-level participants who wish to explore how AGI can revolutionize their industries, understand its risks, and strategize for its integration into their operations.

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

  • Identify real-world applications of AGI in various industries.
  • Evaluate the strategic advantages and challenges of adopting AGI.
  • Analyze ethical considerations and societal impacts of AGI deployment.
  • Develop risk mitigation strategies for implementing AGI solutions.
  • Strategize for AGI integration in business operations.
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Introduction to Artificial General Intelligence (AGI)

 7 Hours

This instructor-led, live training in District of Columbia (online or onsite) is aimed at beginner-level participants who wish to understand the basics of AGI and its implications for society, industries, and the future of technology.

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

  • Understand the key differences between AGI and narrow AI.
  • Identify the core principles and goals of AGI research.
  • Discuss the societal and ethical implications of AGI development.
  • Explore the potential applications and challenges of AGI systems.
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Artificial General Intelligence (AGI) and ChatGPT

 35 Hours

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

  • Deepen Understanding of AGI.
  •  Explore Practical Applications
  • Address Ethical Considerations 
  • Develop Business Strategies 
  • Enhance Human-Machine Collaboration
  • Encourage Interactive Learning
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Testimonials (1)

Comparison between GenAI and friendly condition in class

Merlinda - Lembaga Penjamin Simpanan

Course - Artificial General Intelligence (AGI) and ChatGPT

Upcoming Courses

AGI: A Deep Dive into Cognitive Architectures

2025-09-18 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

Human-Machine Collaboration in the Age of AGI

2025-10-02 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

AGI: A Deep Dive into Cognitive Architectures

2025-10-16 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

AGI System Design and Development

2025-11-03 9:30 am
21 hours
Washington, DC - Capitol Hill
$ 4054 (Online)
$ 4054 (Classroom)

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