Boston, MA – Regus at Federal Street

101 Federal St, Suite 1900, Boston, United States, 02110

The venue is located in the heart of Boston’s Financial District on Federal Street, easily accessible by car via I‑90, I‑93, and I‑95 with numerous nearby parking garages. From Logan International Airport (BOS), a taxi or rideshare takes approximately 20–25 minutes via I‑93 North. Public transit is seamless: the 15th Street and South Station – Financial District stops on MBTA's Red, Orange, and Silver lines are within a few minutes’ walk, and multiple bus routes traverse Federal and Congress Streets.

Burlington, MA – Regus at The District

1500 District Avenue, Burlington, United States, 01803

The venue is located within The District business campus at 1500 District Avenue, easily accessed by car via I‑89 or US‑3 with free on-site parking and additional municipal lots. From Boston’s Logan International Airport (BOS), approximately 15 miles southeast, a taxi or rideshare takes 25–30 minutes via I‑93 North and I‑95 North. Public transit is served by MBTA commuter rail to South Burlington, with the Campus Parkway #2 bus running directly past the entrance—placing the venue within a short walk for attendees without cars.

Cambridge, MA – Regus at Harvard Square

One Mifflin Place, Suite 400, Cambridge, United States, 02138

The venue is ideally situated in the heart of Harvard Square at One Mifflin Place, easily accessed by car via Route 2, MA‑2A, or Memorial Drive, with pay-to-park garages and metered street spaces nearby. From Boston Logan International Airport (BOS), taxis or rideshares take approximately 25–30 minutes via I‑90 West and Cambridge Street. Alternatively, public transit offers seamless connections: take the MBTA Red Line to Harvard station, and the entrance is a 3-minute walk from the square, providing effortless access for attendees without cars.

Worcester, MA – Regus at Campus Square

370 Main Street, Worcester, United States, 01608

The venue is located in the LEED Gold–certified Campus Square building at 370 Main Street in the heart of Worcester, easily reachable by car via I‑290 or I‑90, with abundant on-site parking and municipal garages nearby. From Worcester Regional Airport (ORH), about 5 miles west, a taxi or rideshare takes 10–15 minutes via Airport Drive and Main Street. Public transit is seamless: multiple WRTA bus routes stop just outside the building, and Worcester Amtrak/MBTA train station is an easy 12-minute walk, allowing easy access without a car.

Explore Our Courses

AGI: A Deep Dive into Cognitive Architectures

 14 Hours

This instructor-led, live training in Massachusetts (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 Massachusetts (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 Massachusetts (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 Massachusetts (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 Massachusetts (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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Course - Artificial General Intelligence (AGI) and ChatGPT

Upcoming Courses

AGI: A Deep Dive into Cognitive Architectures

2025-09-18 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

Human-Machine Collaboration in the Age of AGI

2025-10-02 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

AGI: A Deep Dive into Cognitive Architectures

2025-10-16 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

AGI System Design and Development

2025-11-03 9:30 am
21 hours
Burlington, MA – Regus at The District
$ 4054 (Online)
$ 5554 (Classroom)

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