Online or onsite, instructor-led live Smart Robots training courses demonstrate through hands-on practice the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots. Then participants will apply this knowledge to complete their own Smart Robot projects.
Smart Robots 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 Smart Robots trainings in Exeter can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Exeter
The Senate, Southernhay Gardens, Exeter, united kingdom, EX1 1UG
The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exete...
The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exeter Central and Exeter St Davids, which provide regular rail services to all major UK cities. Exeter has been identified by as one of the top 10 most profitable business locations and the county of Devon is regularly voted as number one in England for quality of life.
The Senate is the finest office building in Exeter and offers the largest available floors. This exceptional grade A building is adjacent to the city’s new Crown Court and only a short stroll from the vibrant heart of the city centre, with its bars, restaurants and recently completed Princesshay shopping centre.
The building provides over 72,000 sqft of high specification office accommodation over 5 floors and incorporates underground secure parking for 72 cars. As you would expect from a building of this calibre, the specification and finish reflect a commitment to the highest standards. Efficient space management is expressed in the flexibility of the floorplates, which can be tailored to the needs of each occupier.
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.
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 Exeter (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.
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