This Postgraduate Diploma in Control and Automation with Artificial Intelligence provides a a solid technical grounding in industrial automation integrated with artificial intelligence. The course covers everything from key concepts such as the programmable logic controllers (PLCs) y SCADA control systems, up to the application of advanced AI-powered automation tools such as the RPA. It also includes the management of industrial communication networks, the network security and the HMI interface design for the real-time process monitoring and control. This approach combines the traditional automation technology with AI-based innovations, promoting the operational efficiency and the digital transformation in various industrial sectors.
Cross-cutting
AI Academy
40 hours
Control and Automation using Artificial Intelligence
AI Academy
40 hours
Introduction
Objectives
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To understand the fundamental concepts of industrial automation and its applications.
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Identify the architectures of programmable logic controllers (PLCs) and their essential components.
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Design real-time control systems using SCADA and HMI.
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Understanding communication networks and their importance in industrial automation.
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Implement artificial intelligence (AI) tools to optimise processes.
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Integrate advanced systems such as RPA into the management of administrative tasks.
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To promote safety and efficiency in the monitoring of automated processes.
Table of Contents
TEACHING UNIT 1. CONCEPTS AND EQUIPMENT USED IN INDUSTRIAL AUTOMATION
Basic concepts of automation
Setting objectives for industrial automation
Levels of automation
Automation classes
Industrial automation equipment
Human-Machine Interaction, HMI and SCADA
TEACHING UNIT 2. CALIBRATION AND ADJUSTMENTS OF AUTOMATED SYSTEMS
Settings and adjustments for mechanical, pneumatic and hydraulic systems
Settings and adjustments for electrical and electronic systems
PLC programme settings, amongst others
Settings and adjustments for electronic systems
Settings and adjustments for regulation and control equipment
Installation and commissioning reports
TEACHING UNIT 3. CLASSIFICATION OF PROGRAMMABLE LOGIC CONTROLLERS
An Introduction to the Functions of Programmable Logic Controllers (PLCs)
The evolutionary context of PLCs
The use of programmable logic controllers versus hard-wired logic
Classification of automata from a quantitative and qualitative perspective
Definition of a microPLC controller
Installing the PLC inside the control panel
TEACHING UNIT 4. THE ARCHITECTURE OF AUTOMATA
How programmable logic controllers work and their key components
Elements of PLC programming
Description of a PLC’s operating cycle
Existing power supply in a PLC
CPU architecture
Types of memory used by the automaton for storing variables
TEACHING UNIT 5. INTRODUCTION TO AND OPERATION OF COMMUNICATION NETWORKS
The need for industrial communication networks
Centralised, distributed and hybrid control systems
Advanced industrial organisation systems: ERP and MES
The CIM pyramid and industrial communication
Control networks versus data networks
Field buses, industrial LANs and LAN/WANs
Control network architecture: ring, star and bus topologies
Application of the OSI model to industrial networks and buses
Fundamentals of transmission, access control and routing in industrial networks
Security procedures in the communications network
Introduction to RS, RS, IEC, ISOCAN, IEC, Ethernet and USB standards
TEACHING UNIT 6. FUNDAMENTALS OF PROCESS CONTROL AND MONITORING SYSTEMS: SCADA AND HMI
The evolutionary context of visualisation systems
Advanced industrial organisation systems: ERP and MES
Preliminary considerations regarding supervision and control
The concept of “real time” in a SCADA system
Concepts related to SCADA
Definition and characteristics of distributed control systems
SCADA systems versus DCS
Technical and economic feasibility of a SCADA system
The current SCADA developer market
Industrial PCs and expansion cards
HMI operator displays
Features of an HMI screen
Software for programming HMI screens
Tablet PCs
TEACHING UNIT 7. FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE
Fundamentals of Artificial Intelligence
TEACHING UNIT 8. AUTOMATION TOOLS USING ARTIFICIAL INTELLIGENCE
An Introduction to AI-Driven Automation
Automation of administrative tasks
Robotic Process Automation (RPA)
AI-powered email and calendar management
Applications in document management
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