Physical AI for Robotics and Automation Training Course

This instructor-led, live training in Luxembourg (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.

The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots.

In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure

By the end of this training, participants will be able to:

• Learn the fundamentals of intelligent bots
• Learn how to create intelligent bots using cloud applications
• Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
• Understand how to design bots using bot patterns
• Develop their first intelligent bot using Microsoft Azure

Audience

• Developers
• Hobbyists
• Engineers
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.

In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.

By the end of this training, participants will be able to:

• Understand the different uses and applications of bots
• Understand the complete process in developing bots
• Explore the different tools and platforms used in building bots
• Build a sample chatbot for Facebook Messenger
• Build a sample chatbot using Microsoft Bot Framework

Audience

• Developers interested in creating their own bot

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Luxembourg (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 Luxembourg (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 Luxembourg (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 instructor-led, live training in Luxembourg (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.

This instructor-led, live training in Luxembourg (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.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world.

In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

• Understand the key concepts used in robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that underpin Smart Robots
• Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice
• Extend a Smart Robot's ability to perform complex tasks through Deep Learning
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To customize any part of this course (programming language, robot model, etc.) please contact us to arrange.