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 Sri Lanka can be carried out locally on customer premises or in NobleProg corporate training centers.
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Testimonials
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
Smart Robots Course Outlines in Sri Lanka
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 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 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
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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