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 constructing intelligent bots.

During this instructor-led live training, participants will investigate methods for efficiently developing intelligent bots utilizing Microsoft Azure.

Upon completing the training, participants will be able to:

Comprehend the fundamental concepts underlying intelligent bots.

Construct intelligent bots using cloud-based applications.

Acquire practical proficiency with the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement established bot design patterns in practical scenarios.

Create and deploy their first intelligent bot using Microsoft Azure.

Target Audience

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

Course Format

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 accumulated knowledge. These intelligent systems can collaborate with humans, working alongside them and adapting by observing human behavior. Beyond performing manual labor, Smart Robots are also equipped to handle complex cognitive tasks. In addition to physical robotic bodies, Smart Robots can exist as purely software-based entities, residing within a computer as an application without any 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. They will then apply this knowledge to complete their own Smart Robot projects.

The course is structured into 4 sections, each 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, 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 framework ROS (Robot Operating System), along with C++ and Python, will be used for programming the robots.

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

• Grasp the key concepts underlying robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Comprehend and implement the software components that support Smart Robots
• Build 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 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 extensive hands-on practice

Note

• To customize any part of this course (such as the programming language or robot model), please contact us to make arrangements.

Intelligent Robotics involves embedding artificial intelligence into robotic systems to enhance perception, decision-making, and autonomous control.

This instructor-led live training, available online or onsite, targets advanced robotics engineers, systems integrators, and automation leaders seeking to implement AI-driven perception, planning, and control within smart manufacturing settings.

Upon completion, participants will be able to:

• Comprehend and utilize AI methods for robotic perception and sensor fusion.
• Create motion planning algorithms for both collaborative and industrial robots.
• Implement learning-based control strategies to enable real-time decision-making.
• Incorporate intelligent robotic systems into smart factory operations.

Course Format

• Engaging lectures and group discussions.
• Extensive exercises and practical practice.
• Practical implementation within a live laboratory environment.

Customization Options

• To arrange a tailored training program for this course, please contact us.