Developing a Bot Training Course

Azure Bot Service unites the strengths of the Microsoft Bot Framework and Azure Functions, delivering a robust platform for rapidly constructing smart bots.

In this instructor-led live training, participants will discover how to efficiently develop smart bots using Microsoft Azure.

Upon completing the training, participants will be able to:

Grasp the fundamental concepts underlying smart bots.

Construct smart bots using cloud-based applications.

Acquire practical insights into the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement proven bot design patterns in real-world situations.

Build and deploy their first smart bot using Microsoft Azure.

Target Audience

This course is tailored for developers, enthusiasts, engineers, and IT professionals 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 surroundings and past experiences, enhancing its capabilities through that knowledge. These robots can collaborate with humans, working alongside them and learning from their actions. Furthermore, they are equipped to handle not only manual labour but also cognitive tasks. Beyond physical machines, smart robots can also exist purely as software, residing within a computer as an application without moving parts or physical interaction with the real 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, 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 their acquired knowledge.

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 used for programming the robots.

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 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 blend of lectures, discussions, exercises, and extensive hands-on practice

Note

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

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 onsite, is designed for advanced robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control within smart manufacturing settings.

Upon completion of this training, participants will be able to:

• Grasp and apply AI techniques for robotic perception and sensor fusion.
• Create motion planning algorithms for both collaborative and industrial robots.
• Implement learning-based control strategies to facilitate real-time decision-making.
• Seamlessly integrate intelligent robotic systems into smart factory workflows.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request tailored training for this course, please reach out to us to make the necessary arrangements.