Developing a Bot Training Course

Azure Bot Service unites the Microsoft Bot Framework with Azure Functions, offering a robust platform for the rapid development of intelligent bots.

Through this instructor-led live training, participants will discover efficient methods for developing intelligent bots using Microsoft Azure.

Upon completion of the training, participants will be equipped to:

Grasp the fundamental concepts underpinning intelligent bots.

Develop intelligent bots leveraging cloud-based applications.

Acquire practical expertise in the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement established bot design patterns within real-world contexts.

Construct and deploy their inaugural intelligent bot using Microsoft Azure.

Intended Audience

This course is tailored for developers, enthusiasts, engineers, and IT professionals keen on bot development.

Course Format

The training integrates lectures and discussions with exercises, placing a strong emphasis on practical, hands-on experience.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and past experiences, thereby enhancing its capabilities based on that acquired knowledge. These robots can collaborate with humans, working alongside them and adapting to their behaviour. Furthermore, they are equipped not only for manual labour but also for cognitive tasks. Beyond physical hardware, Smart Robots can also exist purely as software applications on a computer, operating without moving parts or direct physical interaction with the world.

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

The course is structured into 4 sections, each spanning three days of lectures, discussions, and hands-on robot development within a live lab environment. Each section concludes 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 using simulation software. Programming the robots will utilise the ROS (Robot Operating System) open-source framework, along with C++ and Python.

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

• Grasp the key concepts underpinning robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that form the foundation of Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans via 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

• A mix of lectures, discussions, exercises, and intensive hands-on practice

Note

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

Smart Robotics involves integrating artificial intelligence into robotic systems to enhance perception, decision-making capabilities, and autonomous control.

This instructor-led live training (available online or onsite) targets advanced-level robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control within smart manufacturing environments.

Upon completing this training, participants will be able to:

• Understand and apply AI techniques for robotic perception and sensor fusion.
• Develop motion planning algorithms for both collaborative and industrial robots.
• Deploy learning-based control strategies for real-time decision-making.
• Integrate intelligent robotic systems into smart factory workflows.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical work.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange your session.