Physical AI Training Courses

Introduction to Industrial Physical AI• Definition and scope of Physical AI in industrial settings• Difference between traditional automation and AI-driven systems• Role of sensors, machines, and intelligent control• Overview of industrial Physical AI applicat...

• Industrial automation and manufacturing engineers
• AI and data science professionals in industrial domains
• Operations and plant managers
• IoT, robotics, and embedded systems engineers
• Digital transformation leaders in industrial organizations

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Industrial Physical AI Training, validating their expertise in applying Physical AI concepts to industrial automation, intelligent systems, and real-world industrial use cases.

Prerequisites: • Basic understanding of artificial intelligence or machine learning concepts• Familiarity with industrial systems, manufacturing, or automation processes• General awareness of sensors, machinery, or control systems• Interest in intelligent industrial technologies

Introduction to Physical AI in Robotics• Definition and scope of Physical AI for robotics• Difference between traditional robotics and AI-driven robots• Role of perception, learning, and autonomy• Overview of intelligent robotic systemsRobotic Perception and E...

• Robotics engineers and automation professionals
• AI and machine learning practitioners working with robots
• Mechatronics and embedded systems engineers
• Researchers in robotics and autonomous systems
• Technology professionals exploring intelligent robotics

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Physical AI for Robotics Training, validating their expertise in applying Physical AI concepts to robotic perception, decision-making, control, and real-world applications.

Prerequisites: • Basic understanding of artificial intelligence or machine learning concepts• Familiarity with robotics or automation fundamentals• General awareness of sensors, actuators, or control systems• Interest in intelligent and autonomous robotic systems

Introduction to Physical AI and Embodied Intelligence• Definition and scope of Physical AI• Difference between digital AI and Physical AI systems• Role of embodiment in intelligence• Overview of real-world Physical AI applicationsPerception and Sensor Intellig...

• Robotics and automation engineers
• AI and machine learning professionals
• Embedded systems and IoT developers
• Researchers exploring embodied intelligence
• Technology leaders working on autonomous systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Physical AI Fundamentals Training, validating their expertise in understanding Physical AI concepts, embodied intelligence, system design principles, and real-world applications.

Prerequisites: • Basic understanding of artificial intelligence or machine learning concepts• Familiarity with robotics, automation, or embedded systems is beneficial• General awareness of sensors, hardware, or control systems• Interest in autonomous and intelligent physical systems