AI for Robotics represents the meeting point between intelligence and motion — where algorithms think, sensors perceive, and machines act with purpose. It’s the frontier where data becomes dexterity, powering the next generation of autonomous systems, industrial robots, and intelligent machines.
In these instructor-led live training courses, participants explore how artificial intelligence transforms robotics into adaptive, learning systems. Through hands-on exercises, they dive into perception models, motion planning, reinforcement learning, and AI-driven control architectures that bring machines closer to human-like responsiveness.
Those joining online enter an environment that mirrors the pace of real labs — guided step by step through live demonstrations and collaborative coding via an interactive remote desktop. Every session unfolds as a shared exploration of logic and movement, not a one-way lecture.
For teams who prefer to build and test side by side, onsite live training in Koszalin — held at customer premises or within NobleProg corporate training centers — transforms learning into experimentation. Robots, code, and imagination meet in a practical space where theory takes physical form.
Also known as Robotics AI or Intelligent Robotics, our training helps professionals bridge software and mechanics — building systems that sense, decide, and act with increasing autonomy and precision.
NobleProg — Your Local Training Provider
Koszalin
Gwardia, Sportowa 34, Koszalin, Poland, 75-503
The training room is equipped with full modern amenities. It is located 3 kilometers from the city center. The facility features ample parking space for training participants, ensuring convenient access for all attendees.
This practical, instructor-led training in Koszalin covers rapid prototyping for robotics using ROS 2 and Docker. Participants learn to build, test, and deploy modular robotic systems efficiently, gaining hands-on skills in containerization, simulation, and version control for scalable development.
This hands-on HRI course in Koszalin covers voice, gesture, and collaborative control. Learn to build intuitive, multimodal interfaces for safe human-robot collaboration, focusing on practical design principles, speech recognition, gesture detection, and shared autonomy to enhance usability and safety.
This hands-on training in Koszalin covers ROS-PLC integration and digital twins for industrial automation. Learn to synchronize robotic systems with PLCs, develop digital replicas for simulation, and optimize production workflows through real-time data exchange and advanced monitoring techniques.
An advanced training in Koszalin covering deep learning for robotic manipulation. Learn perception, grasp planning, and control using neural networks and ROS 2. Hands-on exercises in simulation prepare you to deploy intelligent, adaptable grasping solutions on real robotic arms effectively.
An advanced training in Koszalin covering the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize collaboration across agents using hands-on simulation in ROS 2 and Gazebo for real-world applications.
This instructor-led, live training in Koszalin teaches advanced professionals how to integrate TinyML into autonomous robotics. Participants will design optimized models, implement on-device perception pipelines, and deploy lightweight AI on embedded hardware for real-time autonomy.
This 21-hour instructor-led training in Koszalin covers safety cases, verification, and explainable AI for robotics. Learn to apply hazard analysis, ethical governance, and compliance standards to ensure transparent, trustworthy robotic decision-making in real-world deployments.
This live training in Koszalin guides intermediate engineers in deploying TinyML models for robotics. Learn to optimize inference for speed and energy, integrate AI into control systems, and build autonomous, low-latency robotic solutions directly on embedded hardware.
This instructor-led, live training in Koszalin (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 Koszalin covers reinforcement learning principles and deep RL techniques like PPO and DDPG. Participants will implement algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to solve complex tasks.
This instructor-led training in Koszalin covers computer vision for robotics using OpenCV and deep learning. Participants will learn to implement perception pipelines, integrate detection models, and deploy systems on embedded platforms for autonomous control.
This instructor-led, live training in Koszalin (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.
By the end of this training, participants will be able to:
Implement multimodal sensing in robotic systems.
Develop AI algorithms for sensor fusion and decision-making.
Create robots that can perform complex tasks in dynamic environments.
Address challenges in real-time data processing and actuation.
In Koszalin, this live training equips advanced engineers with AI skills for robotic perception, planning, and control. Participants will apply sensor fusion, develop motion algorithms, and deploy learning-based strategies to integrate intelligent systems into smart manufacturing workflows effectively.
This instructor-led, live training in Koszalin equips intermediate robotics engineers with hands-on skills in autonomous navigation and SLAM using ROS 2. Learn to integrate LiDAR sensors, implement mapping algorithms, simulate in Gazebo, and deploy real-world navigation stacks on physical robots.
This instructor-led, live training in Koszalin (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 Koszalin covers the core concepts and hands-on fundamentals of AI for Robotics, helping participants build practical skills that apply directly to real-world work environments and modern business needs using ROS 2, TensorFlow, and OpenCV.
This instructor-led live training in Koszalin teaches developers how to build and deploy bots from scratch. Participants will explore key frameworks, design conversational logic, and create sample chatbots for Facebook Messenger and the Microsoft Bot Framework.
This instructor-led, live training in Koszalin (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems.
By the end of this training, participants will be able to:
Gain an overview of artificial intelligence, machine learning, and computational intelligence.
Understand the concepts of neural networks and different learning methods.
Choose artificial intelligence approaches effectively for real-life problems.
Implement AI applications in mechatronic engineering.
This three-day practical course in Koszalin covers the full NLP workflow, including data preprocessing, classification, clustering, and topic modeling. It introduces modern techniques using embeddings, spaCy, and transformers, concluding with a hands-on end-to-end project for real-world application.
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Testimonials (3)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
Well-explained examples of exercises by the trainer
Mariusz - Politechnika Opolska
Course - Artificial Intelligence (AI) for Mechatronics
Machine Translated
its knowledge and utilization of AI for Robotics in the Future.
Ryle - PHILIPPINE MILITARY ACADEMY
Course - Artificial Intelligence (AI) for Robotics
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