AI for Robotics sits at the nexus of intelligence and movement, a space where algorithms reason, sensors interpret, and machines execute tasks with intention. This is the domain where raw data is converted into dexterity, driving the development of the next generation of autonomous systems, industrial robots, and intelligent devices.
These instructor-led live training programs enable participants to examine how artificial intelligence elevates robotics into adaptive, learning-based systems. Through practical exercises, learners engage deeply with perception models, motion planning, reinforcement learning, and AI-driven control frameworks that enhance machine responsiveness to approach human-like levels.
Online attendees are placed in an environment that replicates the rhythm of actual laboratories, receiving step-by-step guidance through live demonstrations and collaborative coding via an interactive remote desktop. Each session evolves as a collective inquiry into logic and movement, avoiding the passive nature of a standard lecture.
For teams preferring to develop and test collaboratively, onsite live training in Nantes—delivered either at client facilities or NobleProg corporate centers—turns education into active experimentation. In this practical setting, robots, code, and creativity intersect, allowing theoretical concepts to take physical shape.
Also referred to as Robotics AI or Intelligent Robotics, our training supports professionals in connecting software with mechanics, creating systems that sense, decide, and act with growing autonomy and accuracy.
NobleProg — Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
This practical, instructor-led training in Nantes 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 Nantes 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 Nantes 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 Nantes 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 Nantes 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 Nantes equips advanced professionals with the skills to integrate TinyML into autonomous robotics. Participants will learn to design optimized models, implement on-device perception pipelines, and deploy lightweight AI on embedded hardware to achieve real-time autonomy.
This 21-hour instructor-led training in Nantes 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 Nantes 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 Nantes (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 Nantes 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 Nantes 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 Nantes (online or onsite) targets advanced robotics engineers and AI researchers who wish to utilize Multimodal AI. The goal is to integrate various sensory data streams to create more autonomous and efficient robots capable of visual, auditory, and tactile interaction.
Upon completion, participants will be able to:
Implement multimodal sensing within robotic systems.
Develop AI algorithms for sensor fusion and decision-making.
Build robots capable of executing complex tasks in dynamic environments.
Address challenges related to real-time data processing and actuation.
In Nantes, 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 Nantes 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 Nantes (online or onsite) is designed for intermediate-level participants aiming to refine their skills in designing, programming, and deploying intelligent robotic systems for automation and other applications.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of Physical AI and its applications in robotics and automation.
Design and program intelligent robotic systems tailored for dynamic environments.
Implement AI models to enable autonomous decision-making in robots.
Utilize simulation tools for testing and optimizing robotic performance.
Tackle challenges such as sensor fusion, real-time processing, and energy efficiency.
This instructor-led live training in Nantes 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 Nantes 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 Nantes (online or onsite) is designed for engineers interested in learning how to apply artificial intelligence to mechatronic systems.
Upon completing this training, participants will be able to:
Obtain a comprehensive overview of artificial intelligence, machine learning, and computational intelligence.
Grasp the core concepts of neural networks and various learning methodologies.
Select appropriate artificial intelligence approaches to address real-world challenges.
Deploy AI solutions within mechatronic engineering contexts.
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Testimonials (2)
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
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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