A postgraduate certificate designed for you to acquire new skills and get the most out of tools such as Keras and TensorFlow"

According to a recent study conducted by the scientific community, currently more than 60% of companies use Artificial Intelligence and 85% of them consider it a priority investment in their business strategy. This highlights the importance of workers specializing in this area to perform their daily work with maximum efficiency. One of the professional profiles most in demand by organizations is that of an engineer with expertise in Deep Learning.  These professionals build Neural Network architectures that emulate the way the human brain operates, to identify patterns and generate predictions using large volumes of data.  

In response to this demand, TECH launches a postgraduate certificate in Neural Networks in Deep Learning. Designed by experts in this field, the curriculum will immerse students in the process of building these architectures. To this end, the teaching materials will address in detail essential concepts ranging from the connection between the different layers to the training of the network. Students will examine the most relevant principles of Neural Networks, which will allow them to incorporate activation functions, back propagation and even parameter tuning into the models. Likewise, thanks to the syllabus, graduates will use the Keras tool effectively to perform tasks such as the implementation of the Multilayer Perceptron. 

It is worth noting that the university program is based on the revolutionary method of Relearning, of which TECH is a pioneer. This teaching system ensures that students assimilate the didactic contents in an agile, progressive and natural way. Moreover, as it is a 100% online learning, students will be able to embark on an educational experience from the comfort of their homes. They will only need an electronic device capable of accessing the Internet to enter the Virtual Campus, where, in addition to the syllabus, they will find a library full of resources in various formats (such as interactive summaries and specialized readings) to reinforce their knowledge in a dynamic way. 

Are you looking for a university degree that is compatible with your daily responsibilities? This program will adapt to both your schedule and your learning pace"

This postgraduate certificate in Neural Networks in 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 Neural Networks in Deep Learning
• The graphic, schematic and practical contents of the program provide Sports and practical information on those 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 skillfully manage the Learning Rate hyperparameter to control the magnitude of the adjustments made to the model weights"

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.  

Thanks to the Relearning method used by TECH, you will consolidate the key concepts in a natural and progressive way to guarantee the success of your learning"

You will be able to download the entire syllabus from day one, so that you can consult it whenever you want, even from your smartphone"

Thanks to this postgraduate certificate in Neural Networks in Deep Learning, graduates will renew their knowledge in this field while obtaining new skills that will broaden their professional horizons. They will also design advanced neural architectures that will learn from data and adapt to specific tasks. On the other hand, they will have the necessary resources to deal with the obstacles that arise during the performance of their different tasks. In this way, professionals will offer innovative solutions in numerous fields such as computer vision, medicine, robotics or finance.

You will master the keys to Deep Learning and learn all its applications to increase your job visibility in a booming technology industry”

General Objectives

• Fundamentalize 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
• Fundamentals of the key concepts and main applications of deep learning
• Implement and optimize neural networks with Keras
• Develop expertise in the training of deep neural networks
• Analyze the optimization and regularization mechanisms required for deep neural network training

Specific Objectives

• Develop the chain rule for calculating derivatives of nested functions
• Analyze how to create new functions from existing functions and how to compute the derivatives of these functions
• Examine the concept of Backward Pass and how derivatives of vector functions are applied to automatic learning
• Learn how to use TensorFlow to build custom models
• Understand how to load and process data using TensorFlow tools
• Fundamentalize the key concepts of NLP natural language processing with RNN and attention mechanisms
• Explore the functionality of Hugging Face transformer libraries and other natural language processing tools for application to vision problems
• Learn how to build and train autoencoder models, GANs, and diffusion models

You will achieve your academic goals in a comfortable way, avoiding long trips to educational institutions thanks to the 100% online modality of TECH"