TECH offers you a 100% online Postgraduate certificate, flexible and advanced on Big Data and Artificial Intelligence"  

The revolution of AI in all socioeconomic sectors has led engineering professionals to incorporate the important advances this technology provides in their projects. In this way, they obtain optimal results in product design, in simulations, in process automation or in robotics. 

To this is added the use of the different tools of Big Data and its use for the improvement of planning and the reduction of transport costs or storage, among other issues. That way, this wide field of action has led TECH to create this Postgraduate certificate in Big Data and Artificial Intelligence. 

It is a 6-week program, which will take the graduate to delve into mining and data storage, its applications, machine learning and neural networks or creating a personality in AI. To further facilitate this teaching process, TECH provides innovative multimedia resources, case studies, specialized readings, which provide a theoretical-practical approach essential to progress in this technological field in vogue. 

The engineer is then faced with an excellent opportunity to obtain an education that will lead them to progress in their sector. For this, this academic institution facilitates an online pedagogical methodology, flexible and convenient to study. In this way, the student will only need an electronic device with Internet connection to access at any time, the contents hosted on the virtual platform. Undoubtedly, an exceptional opportunity to make quality instruction compatible with the most demanding daily responsibilities.   

In just 6 weeks you will be updated on the most advanced techniques used in PLN"  

This Postgraduate certificate in Big Data 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 Digital Transformation and Industry 4.0
• 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 the process of 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 

Explore from the comfort of your home in data visualization tools like Tableau, D3, Matplotlib (Python) or Shiny®"  

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. 

Delve into the different types of algorithms used in Machine Learning and apply it in your professional field”

With the Relearning method you will not have to devote long hours of studies and in just 6 weeks you will get the necessary knowledge”  

Thanks to the effectiveness of the Relearning method, students who take this university degree will get a solid learning, without investing long hours of study. In this way, in just 6 weeks you will acquire advanced knowledge about Big Data and Artificial Intelligence, your current jobs and your future prospects. For this, the graduate will have an agenda prepared by first-class specialists and an extensive virtual library of pedagogical resources.  

A complete curriculum that will allow you to keep up with the most effective tools used to work with Big Data"

Module 1. Big Data and Artificial Intelligence 

1.1. Fundamental Principles of Big Data

1.1.1. Big Data
1.1.2. Tools to Work With Big Data

1.2. Data Mining and Warehousing

1.2.1. Data Mining Cleaning and Standardization
1.2.2. Information Extraction, Machine Translation, Sentiment Analysis, etc
1.2.3. Types of Data Storage

1.3. Data Intake Applications

1.3.1. Principles of Data intake
1.3.2. Data Ingestion Technologies to Serve Business Needs

1.4. Data Visualization

1.4.1. The Importance of Data Visualization
1.4.2. Tools to Carry It Out Tableau, D3, matplotlib (Python), Shiny®

1.5. Machine Learning

1.5.1. Understanding Machine Learning
1.5.2. Supervised and Unsupervised Learning
1.5.3. Types of Algorithms

1.6. Neural Networks (Deep Learning)

1.6.1. Neural Network: Parts and Operation
1.6.2. Types of Networks CNN, RNN
1.6.3. Applications of Neural Networks; Image Recognition and Natural Language Interpretation
1.6.4. Generative Text Networks: LSTM

1.7. Natural Language Recognition

1.7.1. PLN (Processing Natural Language)
1.7.2. Advanced PLN Techniques: Word2vec, Doc2vec

1.8. Chatbots and Virtual Assistants

1.8.1. Types of Assistants: Voice and Text Assistants
1.8.2. Fundamental Parts for the Development of an Assistant: Intents, Entities and Dialog Flow
1.8.3. Integrations: Web, Slack, WhatsApp, Facebook
1.8.4. Assistant Development Tools: Dialogflow, Watson Assistant

1.9. Emotions, Creativity and Personality in IA

1.9.1. Understand How to Detect Emotions Using Algorithms
1.9.2. Creating a Personality: Language, Expressions and Content

1.10. Future of Artificial Intelligence
1.11. Reflections

Delve into the future of Artificial Intelligence and its numerous applications in various industries"