Industry Ready Training on Robotics

Practical knowledge of converting existing physical objects into digital 3D models and preparing those models for manufacturing with 3D printing technologies.

Reverse engineering is widely used in product development, industrial design, mechanical engineering, prototyping, quality inspection, component replacement and manufacturing. By combining 3D scanning, CAD, digital model reconstruction and additive manufacturing, engineers and designers can reproduce existing components, improve product designs and develop innovative solutions.

The course follows the complete workflow: inspection and measurement of physical objects, 3D data acquisition, point-cloud or mesh processing, CAD model reconstruction, design validation and preparation for 3D printing. Participants manufacture prototypes on suitable 3D printing technologies.

• Inspection & measurement
• 3D scanning / data acquisition
• Point-cloud & mesh processing
• CAD reconstruction
• Design validation
• 3D-print preparation

A comprehensive introduction to industrial robots, robotic systems and the automation technologies used in modern manufacturing and industrial environments.

As industries adopt automation to improve productivity, precision, quality and operational efficiency, industrial robotics has become essential to smart manufacturing. The course covers industrial robot architecture, robotic movements, programming, sensors, end-effectors, safety systems and automated production processes, and shows how robots are integrated into operations such as material handling, pick-and-place, assembly, welding, painting, inspection and packaging.

• Robot architecture & movement
• Programming
• Sensors & end-effectors
• Safety systems
• Pick-and-place & assembly
• Welding, painting, inspection, packaging

This course introduces the integration of Artificial Intelligence with robotic systems, enabling machines to perceive their surroundings, process information, make decisions and perform tasks with greater intelligence and autonomy.

As AI transforms manufacturing, healthcare, logistics, agriculture and other industries, intelligent robotics is becoming a key automation technology. The course shows how AI techniques apply to robotics through machine learning, computer vision, sensor data processing, intelligent navigation, object recognition and autonomous decision-making. Through guided exercises, demonstrations and projects, participants see how robots use sensors and data to understand their environment, recognise objects, respond to changing conditions and work with minimal human intervention.

• Machine learning for robots
• Computer vision
• Sensor data processing
• Intelligent navigation
• Object recognition
• Autonomous decision-making

The Certificate Course in Robotics & Artificial Intelligence introduces students and aspiring technology professionals to intelligent machines, robotics and AI-driven automation. This 64-hour programme combines theory with hands-on learning so participants understand how robots operate, how AI lets machines make decisions, and how these technologies are applied in real industries.

The course builds foundational knowledge and practical skills in robotics, AI concepts, sensors, automation, programming logic and intelligent systems. Guided practical exercises and project-based learning give exposure to the design, operation and application of robotic systems and AI technologies.

• Robotics & AI concepts
• Sensors & automation
• Programming logic
• Intelligent systems

This course provides the knowledge and practical skills to analyse existing products, systems, software and components and understand their design, structure, functionality and underlying working principles.

Students work through reverse engineering methodologies, product analysis, technical documentation, system modelling, design reconstruction and testing techniques. Project-based learning builds the ability to examine existing systems, identify design features, understand component interactions and find opportunities for improvement, innovation and redesign.

Depending on the chosen specialisation, the course may cover mechanical product analysis, 3D scanning and CAD modelling, software analysis, embedded systems or digital security fundamentals. Training emphasises responsible, ethical and legally compliant practice.

• Product analysis
• Technical documentation
• System modelling
• Design reconstruction
• Testing techniques
• Ethical & legal practice

The Advanced Certificate Course in Robotics provides practical knowledge and technical skills in robotics, automation and intelligent robotic systems. It introduces the fundamentals of robotics, electronic components, sensors, actuators, programming, robotic mechanisms and automation technologies.

Through hands-on training, practical projects and real-world applications, students learn how to design, assemble, program, test and troubleshoot robotic systems, building the problem-solving ability, logical thinking, creativity and technical expertise that robotics and industrial automation demand.

• Robotics fundamentals
• Electronic components
• Sensors & actuators
• Programming
• Robotic mechanisms
• Automation technologies