Online or onsite, instructor-led live Physical AI training courses demonstrate through interactive hands-on practice how to use robotic systems, sensors, and AI algorithms to develop and control physical AI agents capable of interacting with their environment autonomously.
Physical AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Physical AI training can be carried out locally on customer premises in Kansas or in NobleProg corporate training centers in Kansas.
NobleProg -- Your Local Training Provider
KS, Overland Park - Commerce Plaza
7300 West 110th Street, Commerce Plaza I, Overland Park, United States, 66210
The office in Commerce Plaza is in the heart of Overland Park, which is frequently listed as one of the best places to live and work in America. Overland Park is a nationally recognized city and has a thriving economy. It is positioned in the premier office corridor of College Boulevard in Johnson County, which has experienced rapid economic growth and is a nationally-recognized center of excellence. The office is also near the Sprint Campus in a gleaming high-rise building that's landscaped with trees. It's also well served for hotels within five minutes' walking distance, shopping malls and restaurants.
NE, Omaha - Landmark Center
1299 Farnam Street Suite 300, Omaha, United States, 68102
The venue is located on the corner of S 13th St and Famam St, with a beautiful view at American Park and just across the street from the Nebraska State Office Building.
OK, Oklahoma City - Park Avenue
101 Park Ave #1300, Oklahoma City, united states, 73102
The venue is located in the same building as Rolex and BC Clark Jewelers, just opposite of Kerr Park and the Air Force Monument.
This instructor-led, live training in Kansas (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 Kansas (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.
This instructor-led, live training in Kansas (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.
This instructor-led, live training in Kansas (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 instructor-led, live training in Kansas (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.
This instructor-led, live training in Kansas (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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