Developing a Bot Training Course

Azure Bot Service integrates the Microsoft Bot Framework with Azure Functions, offering a robust platform for rapidly constructing intelligent bots.

Through this instructor-led live training, attendees will discover how to effectively develop intelligent bots leveraging Microsoft Azure.

Upon completing the training, participants will be able to:

Grasp the fundamental concepts underlying intelligent bots.

Construct intelligent bots utilizing cloud-based applications.

Acquire hands-on expertise with the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement proven bot design patterns in practical situations.

Develop and deploy their first intelligent bot using Microsoft Azure.

Target Audience

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

Course Format

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

A Smart Robot is an Artificial Intelligence (AI) system that acquires knowledge from its surroundings and past experiences, enhancing its abilities based on that acquired insight. These robots can work collaboratively with humans, operating alongside them and learning from their actions. Moreover, they are capable of performing not just manual labor but also cognitive tasks. Beyond physical hardware, Smart Robots can also exist as purely software-based applications within 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, applying 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 in a live lab environment. Each section concludes with a practical, hands-on project, allowing participants to practice and demonstrate the knowledge they have acquired.

The target hardware for this course will be simulated in 3D using simulation software. The open-source ROS (Robot Operating System) framework, along with C++ and Python, will be utilized for programming the robots.

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

• Grasp the core concepts underlying robotic technologies
• Understand and manage the interaction between software and hardware within a robotic system
• Comprehend and implement the software components that support Smart Robots
• Construct and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans via voice
• Enhance a Smart Robot's ability to execute complex tasks through Deep Learning
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

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

Note

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

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

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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