Developing a Bot Training Course

Azure Bot Service integrates the capabilities of the Microsoft Bot Framework and Azure Functions, offering a robust platform for rapidly creating intelligent bots.

During this instructor-led live training, participants will learn how to efficiently develop intelligent bots using Microsoft Azure.

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

Grasp the fundamental concepts behind intelligent bots.

Construct intelligent bots leveraging cloud-based applications.

Acquire practical knowledge of the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Apply established bot design patterns to real-world scenarios.

Create and deploy their first intelligent bot using Microsoft Azure.

Audience

This course is tailored for developers, hobbyists, engineers, and IT professionals who are interested in bot development.

Format of the course

The training blends lectures and discussions with exercises, placing a strong emphasis on hands-on practice.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and experiences, thereby enhancing its capabilities based on that acquired knowledge. These robots can collaborate with humans, working alongside them and learning from human behavior. Beyond mere manual labor, Smart Robots are equipped to handle cognitive tasks as well. In addition to physical machines, Smart Robots can also be purely software-based, operating as applications within a computer without moving parts or direct physical interaction with the physical 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, with each section comprising 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 newly acquired knowledge.

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

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

• Understand 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 combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To customize 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 either online or on-site, is designed for advanced robotics engineers, systems integrators, and automation leads aiming to implement AI-driven perception, planning, and control within smart manufacturing settings.

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.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.