Update yourself on the latest trends in Artificial Intelligence and specialize in creating advanced models with the University Expert in Deep Learning" 

Artificial Intelligence is one of the most promising areas in the world of technology and is rapidly transforming the world. Deep Learning is being used in more and more fields, from computer vision to machine translation, and its demand in the job market is growing rapidly. However, it entails great algorithmic complexity and, given the rapid pace of advances in this area, a large number of academic degrees have become obsolete, to the detriment of IT professionals. 

Fortunately, the postgraduate diploma in Deep Learning is a fully updated academic program that offers a high level of preparation in the field of Artificial Intelligence, with a specific focus on postgraduate diploma. The degree is designed to provide students with the knowledge and skills necessary to develop projects in this area and to master the operation of deep learning algorithms. For this, they will walk through the use of TensorFlow to build custom models or the derivatives of vector functions for automatic learning, as well as explore the functionality of Hugging Face's Transformers libraries. 

The course is 100% online and uses the innovative pedagogical methodology of Relearning, which is based on constant feedback and adaptation to the individual needs of students on the basis of targeted repetition. The postgraduate diploma in Deep Learning also offers flexibility in organizing academic resources, allowing students to adapt their educational cycle to their own needs and schedules.

Dive into the fascinating world of deep learning algorithms and gain expertise that will allow you to excel in the field of Data Science"   

This postgraduate diploma 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 Deep Learning experts 
• The graphic, schematic and eminently practical contents of the book provide technological 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 
• The availability of access to content from any fixed or portable device with an Internet connection 

Take the opportunity to specialize with the best professionals in Artificial Intelligence"

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational program, as well as renowned 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.

Benefit from cutting-edge training that will allow you to be part of the digital revolution and make a difference in your professional future"

Get updated on the architecture of neural networks and their different types to solve everyday problems through Deep Learning"

Students who enroll in this educational proposal of 450 teaching hours will have the possibility of acquiring skills and knowledge that will significantly improve their opportunities for progression in the technological field, especially in the development of Artificial Intelligence. In order to help students achieve their goals, this academic institution provides innovative pedagogical tools that are easily accessible and has an outstanding team of professors who are leaders in Deep Learning. 

Get the keys to optimize the performance of advanced AI models thanks to this postgraduate diploma" 

General Objectives

• Support the key concepts of mathematical functions and their derivatives 
• Apply these principles to deep learning algorithms for machine learning 
• 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 
• Provide a rationale for the key concepts and main applications of deep learning 
• Implement and optimize neural networks with Keras 
• Develop expertise in deep neural network training 
• Analyze the optimization and regularization mechanisms required for deep network training 

Specific objectives

Module 1. Mathematical Foundations of Deep Learning 

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

Module 2. Deep Learning Principles 

• Analyze how linear regression works and how it can be applied to neural network models
• Fundamentals of hyperparameter optimization to improve the performance of neural network models
• Determine how the performance of neural network models can be evaluated using the training set and the test set

Module 3. Neural Networks, the basis of Deep Learning 

• Analyze the architecture of neural networks and their principles of operation 
• Determine how neural networks can be applied to a variety of problems 
• Establish how to optimize the performance of deep learning models by tuning the hyperparameters 

Evaluate the performance of neural network models by using the training set and test set"