
What PRINCE2 is, where it came from, and how its principles, themes and processes fit together as a project management method.
This section - is a section from our Cyber Security for Industrial Control Systems course. I have added this section to give more of a background on control systems.
How a distributed control system (DCS) gives tightly integrated control within a single plant, its architecture and operation, and its key security considerations.
What programmable logic controllers are, how they read inputs and drive outputs, and how fieldbus networks such as DeviceNet connect them to plant devices.
How SCADA systems supervise and collect data from remote assets, covering master stations, RTUs, communication links and the zones of a typical SCADA architecture.
How building automation and control systems manage HVAC, lighting, access and energy in modern buildings, and how their field, automation and management levels fit together.
How a safety instrumented system fits in the protection layers, how SIL is set, logic solver redundancy, why the SIS must stay separate from the BPCS, proof testing, bypass control and SIS cybersecurity.
Core concepts of the Industrial Internet of Things, its features, and how connected devices use Bluetooth, LoRa, cellular and Wi-Fi to transform industrial operations.
Recap of the module on DCS, PLC, SCADA, building automation, SIS and IIoT, plus the key differences between OT and IT networks.
A short message from the instructor thanking students for taking the course.
The 3 D's of industrial automation, dull, dirty and dangerous tasks, and how they help decide which jobs are best suited to robots and automated systems.
What mechatronics is, and the core mechanical, electrical and computer engineering principles behind industrial robots, including motors, drives and programming.
The four main types of industrial robot, a brief look at mobile and collaborative robots, and the basic automation terms needed to discuss them.
The main applications of gas turbine engines, from aircraft propulsion to industrial power generation, and why they are chosen over other power sources.
Introduction to the articulated robot arm module, covering main manufacturers, how to specify payload and reach, and the business case for automation.
The structure and function of the main parts of an articulated arm system, including joints, motors, cable management and design examples from different manufacturers.
Overview of the main industrial robot brands and how their robots are operated, programmed and deployed in typical manufacturing applications.
The main sensor types used on industrial robots, such as proximity sensors and vision cameras, and how they enable accurate pick and place work.
How perception algorithms use computer vision, machine learning and sensor fusion to let robots detect objects, locate themselves and track changes.
How sensor data is integrated with robot control systems to give real-time awareness, adaptive behaviour and precise handling in assembly and pick and place tasks.
Forward and inverse kinematics for articulated robot arms, how joint angles relate to end effector position, and the problems of multiple solutions and singularities.
How trajectory planning finds the best path for a robot end effector around obstacles and workspace limits, and how motion control follows it precisely.
Kinematic and dynamic modelling of robot systems, the forces and torques that affect motion, and control methods including adaptive control.
How pneumatic, electric and vacuum grippers work, and the strengths and limits of each type for industrial robot handling tasks.
Key design factors when selecting a robot end effector, including payload, object size and shape, cycle speed and corrosion resistance.
How to customise grippers for specific tasks by adjusting size, shape, grip force and materials such as lightweight aluminium alloys.
What collaborative robots are, how they work safely beside people, and the safety standards covering force limits and speed and separation monitoring.
Real applications of human-robot collaboration in manufacturing, healthcare and pharmacy, and how combining human and robot strengths improves results.
How cobots are programmed and run using intuitive interfaces and hand guiding, and how simulation and testing build confidence before deployment.
Industry 4.0 is not one technology. It is automation, robotics, artificial intelligence and networking all meeting on the same plant floor — and every connection between them is also a security risk.
Most training covers one of these in isolation. Engineers then find that the robot cell, the control system and the plant network have to be designed, integrated and secured together.
This course covers all of them in one structured programme, from first principles through to detailed technical content.
In this course you will learn how the core Industry 4.0 technologies work and how to secure them.
WHAT YOU WILL LEARN TO DO
By the end of this course you will be able to:
HOW THE COURSE IS TAUGHT
WHAT IS COVERED
380 PRACTICE QUESTIONS
Every section ends with a quiz built around realistic scenarios, so you test your understanding as you go and reinforce what you have learned. Each answer comes with a short explanation.
Enrol today and build a joined-up understanding of Industry 4.0 technology.