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Control and Automation with Artificial Intelligence

Cross-cutting
Digital Skills

IA Academy

Duration

40 hours

PRESENTATION

This Certificate Program in Control and Automation with Artificial Intelligence provides a solid technical foundation in industrial automation integrated with artificial intelligence. The training 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 Industrial Communication Network Management, 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.

Objectives

  • Understand the fundamental concepts of industrial automation and its applications.

  • Identify programmable logic controller (PLC) architectures and their essential components.

  • Design real-time control systems using SCADA and HMI.

  • Understand communication networks and their importance in industrial automation.

  • Implement artificial intelligence (AI) tools to optimize processes.

  • Integrate advanced systems such as RPA into the management of administrative tasks.

  • Promote safety and efficiency in the monitoring of automated processes.

Syllabus

TEACHING UNIT 1. CONCEPTS AND EQUIPMENT USED IN INDUSTRIAL AUTOMATION Basic concepts of automation Setting objectives for industrial automation Levels of automation Types of automation Equipment for Industrial Automation Human-Machine Interface (HMI) and SCADA TEACHING UNIT 2. CALIBRATION AND ADJUSTMENTS OF AUTOMATED SYSTEMS Calibration and adjustments of mechanical, pneumatic, and hydraulic systems Calibration and Adjustment of Electrical and Electronic Systems PLC Program Adjustments, Among Others Calibration and Adjustment of Electronic Systems Calibration and Adjustment of Regulation and Control Equipment Installation and Commissioning Reports TEACHING UNIT 3. CLASSIFICATION OF PROGRAMMABLE LOGIC CONTROLLERS Introduction to the functions of programmable logic controllers (PLCs) Historical context of PLCs Use of programmable logic controllers versus hardwired logic Classification of PLCs from a quantitative and qualitative perspective Definition of a microPLC Installation of the PLC within the electrical panel TEACHING UNIT 4. ARCHITECTURE OF PLCs Operation and Essential Blocks of Programmable Logic Controllers PLC Programming Elements Description of a PLC’s Operating Cycle Power Supply in a PLC CPU Architecture Types of Controller Memory for Storing Variables TEACHING UNIT 5. INTRODUCTION TO AND OPERATION OF COMMUNICATION NETWORKS The Need for Industrial Communication Networks Centralized, Distributed, and Hybrid Control Systems Advanced Industrial Management Systems: ERP and MES The CIM Pyramid and Industrial Communication Control Networks vs. Data Networks Fieldbuses, Industrial LANs, and LAN/WANs Control Network Architecture: Ring, Star, and Bus Topologies Application of the OSI Model to Industrial Networks and Fieldbuses Fundamentals of Transmission, Access Control, and Addressing in Industrial Networks Security Procedures in Communication Networks Introduction to RS, IEC, ISOCAN, and Ethernet Standards TEACHING UNIT 6. FUNDAMENTALS OF PROCESS CONTROL AND SUPERVISION SYSTEMS: SCADA AND HMI Evolutionary context of visualization systems Advanced industrial management systems: ERP and MES Preliminary considerations for 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 vs. DCS Technical and Economic Feasibility of a SCADA System Current Market for SCADA Developers Industrial PCs and Expansion Cards HMI Operator Screens Characteristics of an HMI Screen Software for Programming HMI Screens Tablet PCs LEARNING UNIT 7. FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE Fundamentals of Artificial Intelligence LEARNING UNIT 8. AUTOMATION TOOLS WITH ARTIFICIAL INTELLIGENCE Introduction to automation with AI Automation of administrative tasks Robotic Process Automation (RPA) Email and calendar management with AI Applications in document management
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
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Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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