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

Ethics and Governance in Physical AI Development

 14 Hours

This instructor-led, live training in Massachusetts (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to explore the ethical, legal, and governance aspects of Physical AI development.

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

  • Understand the ethical challenges associated with Physical AI.
  • Identify key governance frameworks and regulations.
  • Develop strategies for responsible AI development.
  • Analyze case studies of ethical dilemmas in AI deployment.
Read more...

Human-Centric Physical AI: Collaborative Robots and Beyond

 14 Hours

This instructor-led, live training in Massachusetts (online or onsite) is aimed at intermediate-level participants who wish to explore the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

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

  • Understand the principles of Human-Centric Physical AI and its applications.
  • Explore the role of collaborative robots in enhancing workplace productivity.
  • Identify and address challenges in human-machine interactions.
  • Design workflows that optimize collaboration between humans and AI-driven systems.
  • Promote a culture of innovation and adaptability in AI-integrated workplaces.
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Physical AI for Industrial Applications: From Concept to Implementation

 21 Hours

This instructor-led, live training in Massachusetts (online or onsite) is aimed at intermediate-level participants who wish to explore the application of Physical AI in industrial settings, from conceptualization to implementation.

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

  • Understand the core concepts of Physical AI and its role in industrial innovation.
  • Design and simulate AI-driven physical systems for manufacturing and logistics.
  • Implement Physical AI technologies to optimize workflows and processes.
  • Assess the feasibility and scalability of Physical AI applications.
  • Navigate challenges in integrating Physical AI into existing industrial systems.
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Advanced Concepts in Physical AI: Designing Autonomous Systems

 21 Hours

This instructor-led, live training in Massachusetts (online or onsite) is aimed at advanced-level professionals who wish to deepen their expertise in designing, programming, and deploying advanced autonomous systems.

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

  • Design advanced robotic systems with autonomous capabilities.
  • Implement cutting-edge AI models for decision-making and control.
  • Integrate and optimize real-time sensor data for enhanced performance.
  • Utilize advanced simulation tools for system testing and validation.
  • Address complex challenges in automation and deployment.
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Physical AI for Robotics and Automation

 21 Hours

This instructor-led, live training in Massachusetts (online or onsite) is aimed at intermediate-level participants who wish to enhance their skills in designing, programming, and deploying intelligent robotic systems for automation and beyond.

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

  • Understand the principles of Physical AI and its applications in robotics and automation.
  • Design and program intelligent robotic systems for dynamic environments.
  • Implement AI models for autonomous decision-making in robots.
  • Leverage simulation tools for robotic testing and optimization.
  • Address challenges such as sensor fusion, real-time processing, and energy efficiency.
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Introduction to Physical AI: Building Intelligent Machines

 14 Hours

This instructor-led, live training in Massachusetts (online or onsite) is aimed at beginner-level participants who wish to explore the fundamentals of Physical AI, including its components, development process, and hands-on implementation of basic intelligent machines.

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

  • Understand the principles and potential applications of Physical AI.
  • Design and prototype simple AI-powered robotic systems.
  • Implement basic AI algorithms for machine perception and decision-making.
  • Navigate and use tools like ROS for robotics development.
  • Integrate hardware and software to build functional intelligent machines.
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Upcoming Courses

Human-Centric Physical AI: Collaborative Robots and Beyond

2025-07-21 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

Human-Centric Physical AI: Collaborative Robots and Beyond

2025-08-04 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

Ethics and Governance in Physical AI Development

2025-08-18 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

Ethics and Governance in Physical AI Development

2025-09-01 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

Ethics and Governance in Physical AI Development

2025-09-15 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

Introduction to Physical AI: Building Intelligent Machines

2025-09-29 9:30 am
14 hours
Burlington, MA – Regus at The District
$ 2703 (Online)
$ 3703 (Classroom)

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