Become an expert in Automation and Artificial Intelligence"

Automation and Artificial Intelligence are two of the most important technological advances that are generating more benefits for the industry and many other sectors, when they still have a long way to go, showing a promising future ahead. This field represents a great opportunity for those professionals who decide to specialize and who are in great demand in the labor market.

For this reason, TECH Global University has created a Postgraduate diploma in Automation and Artificial Intelligence with which to provide students with the skills and knowledge necessary to be able to face a professional future in this sector, with total guarantee of success.
And this, with an syllabus that addresses aspects such as the future of robotics and AI, Industrial Automation, Lean Manufacturing or Big Data, among others, in depth.

All this, through a 100% online mode that gives students total freedom to organize their studies and schedules as best suits them. All this, with the most complete teaching materials, information based on the most up-to-date sources and latest teaching technologies

Enhance your professional profile as an engineer and stand out in one of the sectors with the greatest potential"

This Postgraduate diploma in Automation and Artificial Intelligence contains the most complete and up-to-date educational program on the market. Its most notable features are:

• Development of practical cases presented by experts in Automation and Artificial Intelligence
• The graphic, schematic and practical contents of the book provide technical and practical information on those disciplines that are essential for professional practice.
• Practical exercises where the self-assessment process can be carried out 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

Completing this program will position you as an outstanding expert in Artificial Intelligence and Big Data"

The program's teaching staff includes professionals from the sector who contribute their work experience to this program, in addition to 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.

Enjoy video summaries, in-depth videos or specialized readings from day one and without any limitations"

This program will equip you with the skills and competencies you need to achieve a successful position in the Engineering field"

The structure and all the teaching resources of this syllabus have been designed by the renowned professionals that make up TECH's team of experts in the area of Automation and Artificial Intelligence. They have designed complete, up to date and precise contents, based on the most efficient pedagogical methodology, Relearning, which guarantees an optimal assimilation of the contents by the students

Acquire new knowledge in a natural, fast and progressive way, thanks to the most efficient pedagogical methodology in the academic market, TECH's Relearning"

Module 1. Industry 4.0 Automation Systems

1.1. Industrial Automation

1.1.1  Automization
1.1.2  Architecture and Components
1.1.3  Safety

1.2. Industrial Robotics

1.2.1 Fundamentals of Industrial Robotics
1.2.2 Models and Impact on Industrial Processes

1.3. PLC Systems and Industrial Control

1.3.1 PLC Evolution and Status
1.3.2 Evolution of Programming Languages
1.3.3 Computer Integrated Automation CIM

1.4. Sensors and Actuators

1.4.1 Classification of Transducers
1.4.2 Types of Sensors
1.4.3 Standardization of Signals

1.5. Monitor and Manage

1.5.1 Types of Actuators
1.5.2  Feedback Control Systems

1.6. Industrial Connectivity

1.6.1 Standardized Fieldbuses
1.6.2 Connectivity

1.7.Proactive/Predictive Maintenance

1.7.1 Predictive Maintenance
1.7.2 Fault Identification and Analysis
1.7.3 Proactive Actions Based on Predictive Maintenance

1.8. Continuous Monitoring and Prescriptive Maintenance

1.8.1 Prescriptive from Maintenance Concept in Industrial Environments
1.8.2 Selection and Exploitation of Data for Self-Diagnostics

1.9. Lean Manufacturing

1.9.1 Lean Manufacturing
1.9.2 Benefits Lean Implementation in Industrial Processes

.10. Industrialized Processes in Industry 4.0. Use Case

1.10.1 Project definition
1.10.2 Technological Selection
1.10.3 Connectivity
1.10.4 Data Exploitation

Module 2. Big Data and Artificial Intelligence

2.1. Fundamental Principles of Big Data

2.1.1 Big Data
2.1.2 Tools to Work With Big Data

2.2. Data Mining and Storage

2.2.1 Data Mining Cleaning and Standardization
2.2.2 Information Extraction, Machine Translation, Sentiment Analysis, etc.
2.2.3 Types of Data Storage

2.3. Data Intake Applications

2.3.1 Principles of Data intake
2.3.2 Data Ingestion Technologies to Serve Business Needs

2.4. Data Visualization

2.4.1 The Importance of Data Visualization
2.4.2 Tools to Carry It Out Tableau, D3, matplotlib (Python), Shiny®

2.5. Machine Learning

2.5.1 Understanding Machine Learning
2.5.2 Supervised and Unsupervised Learning
2.5.3  Types of Algorithms

2.6. Neural Networks (Deep Learning)

2.6.1 Neural Network: Parts and Operation
2.6.2 Types of Networks CNN, RNN
2.6.3 Applications of Neural Networks; Image Recognition and Natural Language Interpretation
2.6.4 Generative Text Networks: LSTM

2.7. Natural Language Recognition

2.7.1 PLN (Processing Natural Language)
2.7.2  Advanced PLN Techniques: Word2vec, Doc2vec

2.8. Chatbots and Virtual Assistants

2.8.1 Types of Assistants: Voice and Text Assistants
2.8.2 Fundamental Parts for the Development of an Assistant: Intents, Entities and Dialog Flow
2.8.3 Integrations: Web, Slack, WhatsApp, Facebook
2.8.4 Assistant Development Tools: Dialog Flow, Watson Assistant

2.9. Emotions, Creativity and Personality in IA

2.9.1 Understand How to Detect Emotions Using Algorithms
2.9.2 Creating a Personality: Language, Expressions and Content

2.10. Future of Artificial Intelligence
2.11. Reflection

Module 3. Robotics, Drones and Augmented Workers

3.1. Robotics

3.1.1 Robotics, Societies and Cinema
3.1.2 Components and Parts of Robot

3.2. Robotics and Advanced Automation: Simulators, Cobots

3.2.1 Transfer of Learning
3.2.2 Cobots and Case Uses

3.3. RPA (Robotic Process Automatization)

3.3.1 Understanding RPA and its Functioning
3.3.2 RPA Platforms, Projects and Roles

3.4. Robot as a Service (RaaS)

3.4.1 Challenges and Opportunities for Implementing Raas Services and Robotics in Enterprises
3.4.2 Operation of a Raas system

3.5. Drones and Automated Vehicles

3.5.1 Components and Drones Operation
3.5.2 Uses, Types and Applications of Drones
3.5.3 Evolution of Drones and Autonomous Vehicles

3.6. The Impact of 5G

3.6.1 Evolution of Communications and Implications
3.6.2 Uses of 5G Technology

3.7. Augmented Workers

3.7.1 Human - Machine Integration in Industrial Environments
3.7.2 Challenges in Worker-Robot Collaboration

3.8. Transparency, Ethics and Traceability

3.8.1 Ethical Challenges in Robotics and Artificial Intelligence
3.8.2 Monitoring, Transparency and Traceability Methods

3.9. Prototyping, Components and Evolution

3.9.1 Prototyping Platforms
3.9.2 Phases to Make a Prototype

3.10. Future of Robotics

3.10.1 Trends in Robotization
3.10.2 New Types of Robots

Enroll now and stand out in one of the sectors with the greatest potential, in a fast and comfortable way, thanks to TECH"