With this Postgraduate diploma, you will have the most advanced techniques of Natural Language Processing to design Virtual Assistants"

Automation systems are becoming increasingly important within organizations. These technologies are designed to improve aspects such as efficiency, productivity and flexibility of industrial operations. In this way, a new highly demanded professional profile has emerged, consisting in the specialization of Artificial Intelligence. To take advantage of this job opportunity and gain a competitive advantage, experts must obtain a solid knowledge of Industry 4.0. In tune with this, they need to acquire new skills to effectively handle advanced machinery such as robotics, sensors or standardized fieldbuses.  

To respond to this demand, TECH is developing an innovative program that will deal in detail with Automation Systems corresponding to the Fourth Industrial Revolution. Designed by experts in this field, the curriculum will delve into the Programmable Logic Controller, following the evolution of programming languages. In this regard, the syllabus will provide students with predictive maintenance techniques, which will be useful for applying algorithms to prevent potential equipment failures before they occur.  In addition, the program will highlight the importance of data ingest systems to efficiently store, organize and manage large volumes of information. 

It should be noted that the curriculum will use an innovative 100% online methodology: Relearning. This method of teaching allows the acquisition of updated skills through the gradual and periodic reiteration of the most complex concepts of this syllabus. Likewise, students who choose this Postgraduate diploma for its updating will not have to worry about hermetic schedules. On the contrary, they have the possibility of individually planning both their access to the contents and the evaluation schedules. They will also be exempt from unnecessary travel to an on-site center and will be able to specialize from anywhere in the world. 

You will use Data Mining to segment customers and offer customized products that meet their demands"

This Postgraduate diploma in Automation and Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in AI and technological solutions
• The graphic, schematic, and practical contents with which they are created, provide 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 

You will apply Lean Manufacturing to industrial processes to improve labor efficiency and optimize consistency in production"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this 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. 

Position yourself in the labor market with a 100% online program that adapts to your needs and allows you a solid learning"

Thanks to TECH's Relearning system, you will acquire the concepts in a natural way and without the need to memorize"

Through this Postgraduate diploma, students will acquire a holistic view on Automation in the field of Artificial Intelligence and Automation. Structured in 3 modules, the academic itinerary will delve into the fundamentals of Industrial Robotics for students to apply to solutions aimed at optimizing the productivity of organizations. The program will also provide students with the most advanced Big Data tools to automate tasks such as machine translation. On the other hand, the syllabus will focus on the ethical challenges in Machine Learning so that graduates acquire a conscience based on responsibility.

A quality curriculum at the forefront of academic teaching will provide you with the latest trends in the Machine Learning area"

Module 1. Industry 4.0. Automation Systems 

1.1. Industrial Automation 

1.1.1. Automation 
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 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 of Lean Implementation in Industrial Processes 

1.10. 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 Warehousing 

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: Dialogflow, 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. Reflections

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 

This program allows you to exercise in simulated environments, which will provide you with an immersive learning experience to specialize you for real situations"