Delivered either online or in person, our instructor-led live Physical AI training courses offer an interactive, hands-on approach to mastering robotic systems, sensors, and AI algorithms. These sessions focus on developing and controlling physical AI agents that can operate autonomously within their environments.
Physical AI training is offered as "online live training" or "onsite live training". Online live training (also known as "remote live training") is facilitated through an interactive, remote desktop. Onsite live training is available at client locations in Athens or at NobleProg corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led, live training in Athens (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.
This instructor-led, live training in Athens (offered online or onsite) is designed for intermediate-level learners interested in exploring the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.
Upon completing this training, participants will be able to:
Understand the core principles of Human-Centric Physical AI and their 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.
This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level professionals eager to explore how Physical AI can be applied in industrial environments, covering everything from initial concepts to final implementation.
Upon completing this training, participants will be capable of:
Grasping the fundamental principles of Physical AI and its significance in driving industrial innovation.
Designing and simulating AI-powered physical systems tailored for manufacturing and logistics sectors.
Deploying Physical AI solutions to enhance workflows and operational processes.
Evaluating the feasibility and scalability of Physical AI applications.
Addressing challenges associated with integrating Physical AI into established industrial systems.
This instructor-led, live training in Athens (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.
This live, instructor-led training in Athens (available online or onsite) is tailored for intermediate-level professionals seeking to refine their capabilities in designing, coding, and deploying intelligent robotic systems for automation and other domains.
By the conclusion of this training, participants will be able to:
Comprehend the fundamental principles of Physical AI and their relevance in robotics and automation.
Design and program intelligent robotic systems capable of operating in dynamic settings.
Integrate AI models to enable autonomous decision-making in robotic platforms.
Employ simulation tools to test and optimize robotic performance.
Tackle key challenges related to sensor fusion, real-time processing, and energy efficiency.
This instructor-led, live training in Athens (online or onsite) is designed for beginner-level participants eager to explore the fundamentals of Physical AI, including its components, development process, and hands-on implementation of basic intelligent machines.
Upon completing this training, participants will be able to:
Grasp 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 utilize tools such as ROS for robotics development.
Integrate hardware and software to build functional intelligent machines.
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