Online or onsite, instructor-led live Robotics training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of Robotics.
Robotics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Robotics training can be carried out locally on customer premises in the UK or in NobleProg corporate training centres in the UK.
NobleProg -- Your Local Training Provider
Testimonials
I feel I get the core skills I need to understand how the ROS fits together, and how to structure projects in it.
Dan Goldsmith - Coventry University
Course: ROS: Programming for Robotics
The use of VM
Coventry University
Course: ROS: Programming for Robotics
The trainer's knowledge was clearly very good and when you specifically asked for help he was very helpful.
Coventry University
Course: ROS: Programming for Robotics
It was very useful and the practical tasks really helped.
David Croft - Coventry University
Course: ROS: Programming for Robotics
Robotics sounds very complex etc, and Richard help us see this in a more friendly way and the possibilities the tool has.
Rolando Barquero - GLAXOSMITHKLINE PHARMACEUTICALS COSTA RICA
Course: Robotics in business - AI/Robotics
Broadly, the topic approach by trainer and the "live" practices
GLAXOSMITHKLINE PHARMACEUTICALS COSTA RICA
Course: Robotics in business - AI/Robotics
Good prepared, communication and work environment on-line worked pretty smooth. Although we did not had the right pre course requirement, the trainer had a lot of patient to help us where needed.
NLR; NLR
Course: Drone Programming with ArduPilot
The trainer is very skilled and the virtual desktop environment worked fine.
NLR; NLR
Course: Drone Programming with ArduPilot
The combination of theory and practice, and the fact that the course guides you smoothly through content that would otherwise take you quite some time and frustration to go through yourself.
NLR; NLR
Course: Drone Programming with ArduPilot
Robotics Subcategories
Robotics Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This course introduces machine learning methods in robotics applications.
It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.
After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.
It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.
After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.
28 hours
In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.
By the end of this training, participants will be able to:
- Build and operate a robotic system that includes both software and hardware components
- Understand the key concepts used in robotic technologies
- Assemble motors, sensors and microcontrollers into a working robot
- Design the mechanical structure of a robot
Audience
- Developers
- Engineers
- Hobbyists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:
- Arduino board
- Motor controller
- Distance sensor
- Bluetooth slave
- Prototyping board and cables
- USB cable
- Vehicle kit
- Participants will need to purchase their own hardware.
- If you wish to customize this training, please contact us to arrange.
By the end of this training, participants will be able to:
- Build and operate a robotic system that includes both software and hardware components
- Understand the key concepts used in robotic technologies
- Assemble motors, sensors and microcontrollers into a working robot
- Design the mechanical structure of a robot
Audience
- Developers
- Engineers
- Hobbyists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:
- Arduino board
- Motor controller
- Distance sensor
- Bluetooth slave
- Prototyping board and cables
- USB cable
- Vehicle kit
- Participants will need to purchase their own hardware.
- If you wish to customize this training, please contact us to arrange.
21 hours
This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python
14 hours
This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises.
14 hours
ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics.
In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial.
By the end of this training, participants will be able to:
- Install and configure ROS-Industrial
- Implement motion and path planning on ROS-I using tools such as MoveIt! and Descartes
- Create simple ROS-I applications
- Build, test, deploy, and troubleshoot a new robot with ROS-I
Audience
- Programmers
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial.
By the end of this training, participants will be able to:
- Install and configure ROS-Industrial
- Implement motion and path planning on ROS-I using tools such as MoveIt! and Descartes
- Create simple ROS-I applications
- Build, test, deploy, and troubleshoot a new robot with ROS-I
Audience
- Programmers
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
14 hours
This instructor-led, live training in the UK (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities.
By the end of this training, participants will be able to:
- Install and configure UiPath IPA.
- Enable robots to manage other robots.
- Apply computer vision to locate screen objects with accuracy.
- Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.
By the end of this training, participants will be able to:
- Install and configure UiPath IPA.
- Enable robots to manage other robots.
- Apply computer vision to locate screen objects with accuracy.
- Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.
21 hours
This instructor-led, live training in the UK (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.
By the end of this training, participants will be able to:
- Implement filters (Kalman and particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
By the end of this training, participants will be able to:
- Implement filters (Kalman and particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
80 hours
In this instructor-led, live training in the UK (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.
The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.
The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. 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 robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Test and troubleshoot a robot in realistic scenarios.
The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.
The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. 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 robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Test and troubleshoot a robot in realistic scenarios.
120 hours
In this instructor-led, live training in the UK (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.
The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice 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 robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Extend a robot's ability to perform complex tasks through Deep Learning.
- Test and troubleshoot a robot in realistic scenarios.
The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice 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 robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Extend a robot's ability to perform complex tasks through Deep Learning.
- Test and troubleshoot a robot in realistic scenarios.
21 hours
This instructor-led, live training in the UK (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.
By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
84 hours
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.
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.
14 hours
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
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
14 hours
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
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
21 hours
This instructor-led, live training in the UK (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.
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.
21 hours
In this instructor-led, live training in the UK, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools.
By the end of this training, participants will be able to:
- Understand the basics of ROS.
- Learn how to create a basic robotics project using ROS.
- Learn how to use different tools for robotics including simulation and visualization tools.
By the end of this training, participants will be able to:
- Understand the basics of ROS.
- Learn how to create a basic robotics project using ROS.
- Learn how to use different tools for robotics including simulation and visualization tools.
14 hours
This instructor-led, live training in the UK (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone.
By the end of this training, participants will be able to:
- Setup a suitable development environment.
- Select and apply the right tools for programming a drone.
- Understand and configure the firmware, middleware and API stack.
- Test and debug their code using drone simulation software.
By the end of this training, participants will be able to:
- Setup a suitable development environment.
- Select and apply the right tools for programming a drone.
- Understand and configure the firmware, middleware and API stack.
- Test and debug their code using drone simulation software.
21 hours
This instructor-led, live training in the UK (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools.
By the end of this training, participants will be able to:
- Understand the basics of aerial robotics.
- Model and design UAVs and quadrotors.
- Learn about the basics of flight control and motion planning.
- Learn how to use different simulation tools for aerial robotics.
By the end of this training, participants will be able to:
- Understand the basics of aerial robotics.
- Model and design UAVs and quadrotors.
- Learn about the basics of flight control and motion planning.
- Learn how to use different simulation tools for aerial robotics.
7 hours
This instructor-led, live training in the UK (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries.
By the end of this training, participants will be able to:
- Gain fundamental knowledge of UAVs and drones.
- Learn about drone classifications and uses to find suitable UAVs that address different needs.
- Evaluate delivery options and regulations for the convenient operation of drones.
- Understand the risks and ethics of using drone technology.
- Explore future uses and capabilities of UAVs including integration with other technologies.
By the end of this training, participants will be able to:
- Gain fundamental knowledge of UAVs and drones.
- Learn about drone classifications and uses to find suitable UAVs that address different needs.
- Evaluate delivery options and regulations for the convenient operation of drones.
- Understand the risks and ethics of using drone technology.
- Explore future uses and capabilities of UAVs including integration with other technologies.
21 hours
This instructor-led, live training in the UK (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.
By the end of this training, participants will be able to:
- Understand drone technology and regulations related to it.
- Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.
By the end of this training, participants will be able to:
- Understand drone technology and regulations related to it.
- Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.
Last Updated:
Upcoming Robotics Courses
Artificial Intelligence (AI) for Robotics
16-02-2022 09:30
Oxford - The Quorum
21 hours
Amazon Web Services (AWS) RoboMaker
02-03-2022 09:30
Oxford - The Quorum
21 hours
UiPath for Intelligent Process Automation (IPA)
15-03-2022 09:30
Oxford - The Quorum
14 hours
Amazon Web Services (AWS) RoboMaker
16-03-2022 09:30
St Helier - Jersey
21 hours
Artificial Intelligence (AI) for Robotics
22-03-2022 09:30
St Helier - Jersey
21 hours
Other regions
Other countries
Consulting
Online Robotics courses, Weekend Robotics courses, Evening Robotics training, Robotics boot camp, Robotics instructor-led, Weekend Robotics training, Evening Robotics courses, Robotics coaching, Robotics instructor, Robotics trainer, Robotics training courses, Robotics classes, Robotics on-site, Robotics private courses, Robotics one on one training
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