Boost your professional profile with new knowledge and skills in Industrial Robotics and Cyberphysical Systems"

Society is undergoing a new process of change, considered to be the Fourth Industrial Revolution, in which the digitization and Automation of processes and tools are the protagonists. The Industrial Internet of Things (IIoT) consists of a network of physical objects (“things”) that incorporate sensors, software and other technologies in order to connect and exchange data with other devices and systems, through the internet. Their usefulness and growing demand is such that professionals with advanced knowledge in this field are increasingly needed.

For this reason, TECH has designed a Postgraduate diploma in Industrial Internet of Things (IIoT) with which it seeks to provide students with new skills and better competences in this area, with which to ensure a successful future in this area of engineering with such potential. Therefore, the content addresses topics such as Cyberphysical Systems, Security in IoT and IIoT Platforms, Industrial Robotics and the Smart Factory Principles.

All this, in a comfortable 100% online mode that allows students to carry out their studies without being affected by their other day-to-day work, having total freedom of organization. In addition, it offers the most up-to-date, dynamic and comprehensive theoretical and practical contents of the labor market.

Get precise and complete knowledge about the Smart Factory, through video reports, videos in detail or specialized readings"

This Postgraduate diploma in Industrial Internet of Things (IIoT) contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Industrial Internet of Things
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

This 100% online Postgraduate diploma will allow you to balance your IIoT studies  with your work. You choose where and when to access" 

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Become an IIoT expert in just a few months and in a 100% online mode"

Acquire new competencies in industrial automation and PLC systems"

The structure and content of this syllabus have been designed by outstanding working professionals, who are part of the team of experts to TECH, in IIoT These specialists have focused their experience on all teaching materials, to shape a unique program, also based on the most efficient pedagogical methodology, Relearning.

With Relearning, you can achieve your goals in a natural, progressive and fast way"

Module 1. Industry 4.0

1.1. Definition of 4.0 Industry

1.1.1. Features

1.2. Benefits of the 4.0 Industry

1.2.1. Key Factors
1.2.2. Main Advantages

1.3. Industrial Revolutions and Vision of the Future

1.3.1. Industrial Revolutions
1.3.2. Keys Factors in Each Revolution
1.3.3. Technological Principles as a Basis for Possible New Revolutions

1.4. The Digital Transformation of the Industry

1.4.1. Characteristics of the Digitization of the Industry
1.4.2. Disruptive Technologies
1.4.3. Applications in the Industry

1.5. Forth Industrial Revolution. Key Principles of Industry 4.0

1.5.1. Definitions
1.5.2. Key Principles and Applications

1.6. 4.0 Industry and Industrial Internet

1.6.1. Origin of IIoT
1.6.2. Operation
1.6.3. Steps to Follow for its Implementation
1.6.4. Benefits

1.7. Smart Factory Principles

1.7.1. The Smart Factory
1.7.2. Elements that Define a Smart Factory
1.7.3. Steps to Deploy a Smart Factory

1.8. Status of the 4.0 Industry

1.8.1. Status of the 4.0 Industry in Different Sectors
1.8.2. Barriers to the Implementation of 4.0 Industry

1.9. Challenges and Risks

1.9.1. SWOT Analysis
1.9.2. Challenges

1.10. Role of Technological Capabilities and the Human Factor

1.10.1. Disruptive Technologies in Industry 4.0
1.10.2. The Importance of the Human Factor Key Factor

Module 2. Industry 4.0 Automation Systems

2.1. Industrial Automation

2.1.1. Automization
2.1.2. Architecture and Components
2.1.3. Safety

2.2. Industrial Robotics

2.2.1. Fundamentals of Industrial Robotics
2.2.2. Models and Impact on Industrial Processes

2.3. PLC Systems and Industrial Control

2.3.1. PLC Evolution and Status
2.3.2. Evolution of Programming Languages
2.3.3. Computer Integrated Automation CIM

2.4. Sensors and Actuators

2.4.1. Classification of Transducers
2.4.2. Types of Sensors
2.4.3. Standardization of Signals

2.5. Monitor and Manage

2.5.1. Types of Actuators
2.5.2. Feedback Control Systems

2.6. Industrial Connectivity

2.6.1. Standardized Fieldbuses
2.6.2. Connectivity

2.7. Proactive / Predictive Maintenance

2.7.1. Predictive Maintenance
2.7.2. Fault Identification and Analysis
2.7.3. Proactive Actions Based on Predictive Maintenance

2.8. Continuous Monitoring and Prescriptive Maintenance

2.8.1. Prescriptive Maintenance Concept in Industrial Environments
2.8.2. Selection and Exploitation of Data for Self-Diagnostics

2.9. Lean Manufacturing

2.9.1. Lean Manufacturing
2.9.2. Benefits Lean Implementation in Industrial Processes

2.10. Industrialized Processes in Industry 4.0. Use Case

2.10.1. Project definition
2.10.2. Technological Selection
2.10.3. Connectivity
2.10.4. Data Exploitation

Module 3. Internet of Things (IoT)

3.1. Cyber-Physical Systems (CPS) in the Industry 4.0 Vision

3.1.1. Internet of Things (IoT)
3.1.2. Components Involved in IoT
3.1.3. Cases and Applications of IoT

3.2. Internet of Things and Cyber-Physical Systems

3.2.1. Computing and Communication Capabilities to Physical Objects
3.2.2. Sensors, Data and Elements in Cyber-Physical Systems

3.3. Device Ecosystem

3.3.1. Typologies, Examples and Uses
3.3.2. Applications of the Different Devices

3.4. IoT Platforms and their Architecture

3.4.1. IoT Market Typologies and Platforms
3.4.2. Operation of an IoT Platform

3.5. Digital Twin

3.5.1. Digital Twin
3.5.2. Uses and Applications the Digital Twin

3.6. Indoor & outdoor Geolocation (Real Time Geospatial)

3.6.1. Indoor and Outdoor Geolocation Platforms
3.6.2. Implications and Challenges of Geolocation in an IoT Project

3.7. Security Intelligence Systems

3.7.1. Typologies and Platforms for Security Systems Implementation
3.7.2. Components and Architectures in Intelligent Safety Systems

3.8. IoT and IIoT Platform Security

3.8.1. Security Components in an IoT System
3.8.2. IoT Security Implementation Strategies

3.9. Wearables at Work

3.9.1. Types of Wearables in Industrial Environments
3.9.2. Lessons Learned and Challenges in Implementing Wearables in the Workplace

3.10. Implementing an API to Interact with a Platform

3.10.1. Types of APIs Involved in an IoT Platform
3.10.2. API Market
3.10.3. Strategies and Systems to Implement API Integrations

You will be able to access all the material and a wide variety of additional information on IIoT, from the first moment and with total freedom"