Baltimore, MD – Regus at Legg Mason Tower

100 International Drive, 23rd Floor, Baltimore, United States, 21202

The venue is located on the 23rd floor of the Class‑A Legg Mason Tower in Harbor East, adjacent to Baltimore’s Inner Harbor and easily reached by car via I‑95 or I‑395, with multiple nearby parking garages and some on-site parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), about 10 miles south, taxis or rideshares usually take 15–20 minutes via I‑95 North. Public transit is convenient with Baltimore Light Rail access at Harbor East station just a 2‑minute walk away, along with MTA buses running along Pratt Street, making the venue readily accessible without a vehicle.

Annapolis, MD – Regus at Annapolis Center

1997 Annapolis Exchange, Ste 300, Annapolis, United States, 21401

The venue is situated in the Annapolis Center on Exchange Parkway, just off Route 50 and close to US 301, with on-site and nearby garage parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), approximately 25 miles north, taxi or rideshare typically takes 30–35 minutes heading south via MD‑70 and Route 50. Public transit users can take the B30 or Route 40 CAT shuttle to Westfield Annapolis, then transfer to local buses that stop near Annapolis Center—requiring a convenient short walk to the entrance.

Baltimore, MD – Regus at Inner Harbor Center

400 East Pratt Street Downtown, 8th Floor, Baltimore, United States, 21202

The venue is situated in the prominent Inner Harbor Center, easily reached by car via I‑95 or I‑395 with several nearby public parking garages and on-site parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), about 10 miles south, a taxi or rideshare typically takes 15–20 minutes via I‑95 North. Public transit options include Baltimore Light Rail at Harbor East station (a two-minute walk) and multiple MTA bus routes along Pratt Street, making the venue conveniently accessible without a vehicle.

Explore Our Courses

Ethics and Governance in Physical AI Development

 14 Hours

This instructor-led, live training in Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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.
Read more...

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Upcoming Courses

Human-Centric Physical AI: Collaborative Robots and Beyond

2025-07-21 9:30 am
14 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 2703 (Online)
$ 2703 (Classroom)

Human-Centric Physical AI: Collaborative Robots and Beyond

2025-08-04 9:30 am
14 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 2703 (Online)
$ 2703 (Classroom)

Ethics and Governance in Physical AI Development

2025-08-18 9:30 am
14 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 2703 (Online)
$ 2703 (Classroom)

Ethics and Governance in Physical AI Development

2025-09-01 9:30 am
14 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 2703 (Online)
$ 2703 (Classroom)

Ethics and Governance in Physical AI Development

2025-09-15 9:30 am
14 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 2703 (Online)
$ 2703 (Classroom)

Introduction to Physical AI: Building Intelligent Machines

2025-09-29 9:30 am
14 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 2703 (Online)
$ 2703 (Classroom)

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