You will have access to a library full of high quality multimedia content presented in different audiovisual formats, which you can download and consult whenever and wherever you want”

Deep Learning, one of the fundamental technologies of artificial intelligence, has led to important advances in areas such as computer vision, natural language processing and robotics. For example, Amazon Alexa's voice recognition technology is based on deep learning and has an accuracy of 95%. In addition, Deep Learning has the capacity to solve important problems in society, such as the early detection of diseases, the forecasting of natural disasters and the fight against climate change. In fact, Deep Learning has been successfully used to forecast the melting of glaciers with an accuracy of 96%.

Under these circumstances, TECH has designed a comprehensive educational program that allows students to explore in depth the fundamental principles of Deep Learning and its mathematical foundations. As the demand for qualified professionals in this field continues to grow and investment in Artificial Intelligence is increasing, this program presents itself as an excellent option for professional development. In addition, the availability of resources and supportive communities, the intellectual challenge involved and its potential for innovation are other factors that make this program an attractive choice for those seeking to enhance their knowledge and skills in Deep Learning.

For this reason, TECH has created a complete program based on the Relearning methodology to facilitate the student's learning in a progressive and natural way through the repetition of the fundamental concepts. In this way, the graduate will acquire the necessary skills by adjusting the study to their life style. 

Therefore, the presentation of the program in an online format allows the professional to focus on learning without having to travel or adjust to fixed schedules. In addition, they can access the theoretical and practical content from anywhere and at any time, all they need is a device with an Internet connection.

Guarantee your professional future by completing the most complete and up-to-date postgraduate diploma in the academic market. And it's totally online!”

This postgraduate diploma in Advanced Deep Learning 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 Deep Learning
• 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 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

Delve into OpenAI and delve into estimating the profitability of loans with this exclusive online academic program”

The program includes in its teaching staff professionals from the sector who bring to this program the experience of their work, as well as recognized specialists from leading societies and prestigious universities.  

Its 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 an immersive education programmed to learn in real situations.  

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.   

Delve into risk analysis for credit allocation and you can become a specialist in Reinforcement Learning"

TECH offers you a Virtual Campus available 24 hours a day, without the pressure of adapting to fixed schedules or uncomfortable travel"

The knowledge acquired through the syllabus will allow the graduate to acquire a global perspective and get up to date in the key aspects of Deep Learning to achieve the proposed objectives. Consequently, the student will acquire comprehensive skills in an essential, versatile and constantly growing field of engineering, which will lead them to achieve excellence in a booming sector. In order to ensure student satisfaction, TECH has established general and specific objectives that will guide the student towards success.

Upgrade your skills in reward optimization and policy research to enhance your professional future. Now is always the best time”

General Objectives

• Lay the foundation for the key concepts of mathematical functions and their derivatives
• Apply these principles to deep learning algorithms to learn automatically
• Examine the key concepts of Supervised Learning and how they apply to neural network models
• Analyze the training, evaluation, and analysis of neural network models
• Lay the foundation for the key concepts and main applications of deep learning
• Implement and optimizes neural networks with Keras
• Develop expertise in the training of deep neural networks
• Analyze the optimization and regularization mechanisms necessary for deep network training

Specific Objectives

Module 1. Deep Computer Vision with Convolutional Neural Networks

• Explore and understand how convolutional and clustering layers work for Visual 
• Cortex architecture
• Develop CNN architectures with Keras
• Use pre-trained Keras models for object classification, localization, detection and tracking, as well as semantic segmentation 

Module 2. NLP Natural Language Processing with RNN and Attention

• Generate text using recurrent neural networks
• Train an encoder-decoder network to perform neural machine translation
• Develop a practical application of Natural Language Processing with RNN and Attention

Module 3. Reinforcement Learning

• Use gradients to optimize an agent's policy
• Evaluate the use of neural networks to improve an agent's accuracy in making decisions
• Implement different reinforcement algorithms to improve the performance of an agent

You will meet even your highest expectations thanks to the thoroughness with which all the topics in this TECH program have been developed”