Smart Robots Training Courses in Denmark

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 alongside 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 instructorled, 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 handson robot development in a live lab environment Each section will conclude with a practical handson 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) opensource 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 handson practice Note To customize any part of this course (programming language, robot model, etc) please contact us to arrange .

The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots In this instructorled, 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 handson 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 instructorled, 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 handson practice .

This instructor-led, live training in Denmark (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.