Edge AI for Robots: TinyML, On-Device Inference & Optimization Training Course

This instructor-led, live training in the UAE empowers intermediate robotics engineers with practical skills in autonomous navigation and SLAM via ROS 2. The curriculum covers integrating LiDAR sensors, implementing mapping algorithms, conducting simulations in Gazebo, and deploying real-world navigation stacks on physical robots.

This instructor-led training module in the UAE focuses on applying computer vision to robotics through OpenCV and deep learning techniques. Participants will develop the skills to build perception pipelines, integrate detection models, and deploy solutions on embedded platforms to achieve autonomous control.

This instructor-led, live training in the UAE (online or onsite) is designed for intermediate-level participants interested in exploring 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 practical HRI course in the UAE focuses on voice, gesture, and collaborative control. Participants will learn to construct intuitive, multimodal interfaces for secure human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to improve both usability and safety.

This practical training in the UAE focuses on ROS-PLC integration and digital twins for industrial automation. Acquire the skills to synchronize robotic systems with PLCs, create digital replicas for simulation purposes, and enhance production workflows through real-time data exchange and sophisticated monitoring strategies.

This instructor-led live training in the UAE (online or onsite) is tailored for engineers interested in learning how artificial intelligence applies 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.

A comprehensive advanced training in the UAE that focuses on the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize multi-agent collaboration through hands-on simulation in ROS 2 and Gazebo, preparing them for real-world applications.

This instructor-led, live training in the UAE (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.

This instructor-led, live training program in the UAE (available online or on-site) is designed for intermediate-level professionals seeking to elevate their skills in the design, programming, and deployment of intelligent robotic systems for automation and beyond.

By the end of the course, participants will be able to:

• Comprehend the principles of Physical AI and its role in robotics and automation.
• Design and code intelligent robotic systems capable of operating in dynamic environments.
• Integrate AI models that facilitate autonomous decision-making in robotics.
• Leverage simulation platforms for comprehensive robotic testing and optimization.
• Tackle key technical challenges such as sensor fusion, real-time processing, and energy efficiency.

This practical, instructor-led training in the UAE focuses on rapid prototyping for robotics by combining ROS 2 and Docker. Participants acquire hands-on expertise in building, testing, and deploying modular robotic systems, gaining critical skills in containerization, simulation, and version control to drive scalable development efforts.

This instructor-led live training in the UAE delves into the principles of reinforcement learning and deep RL techniques such as PPO and DDPG. Learners will implement algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to tackle complex tasks.

An advanced training in the UAE 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.