You will master Transfer Learning and optimize the performance of models in new tasks, thanks to this program based on the Relearning system"

The field of Computer Vision Image Classification is constantly expanding, as new techniques or technological tools aimed at optimizing its processes are constantly emerging. At this juncture, specialists need more than ever to stay at the forefront of the advances that occur in this field. They also need to obtain advanced skills that will enable them to incorporate them properly into their daily practice. Only in this way will they be able to offer both their clients and companies innovative solutions that meet their needs.

For this reason, TECH implements a postgraduate certificate in Convolutional Networks and Image Classification in Computer Vision that will address the most recent advances in this discipline. The university program will delve into the practical considerations for CNN training, taking into account factors such as optimizer selection. In addition, the syllabus will thoroughly analyze the main practices of Deep Learning for students to improve the performance of models by allowing their layers to be tuned. The curriculum will also emphasize the importance of testing the training pipeline, as it serves both to identify failures and to validate the reproducibility of the results.  

It should be noted that, as this is a 100% online training, students will be able to take the course whenever and wherever they want. In this sense, the only thing they will need is an electronic device with Internet access to enter the Virtual Campus (using their own cell phone or Tablet). In this way, students will enjoy an educational experience full of dynamic content, such as interactive summaries or case studies. Undoubtedly, a modality in line with the current times, with all the guarantees for graduates to take advantage of the opportunities offered by a highly demanded technological sector. And all this with the guidance of a teaching staff formed by experts in Computer Vision, which will resolve all the doubts that may arise during their study.

A training designed to help you face both current and future challenges in Computer Vision"

This postgraduate certificate in Convolutional Networks and Image Classification in Computer Vision 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, computer science and computer vision
• The graphic, schematic, and practical contents with which they are created, provide scientific and 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

The growing importance of Computer Vision makes this postgraduate certificate a safe bet that will allow you to raise your professional horizons"

The program’s teaching staff includes professionals from the industry 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.  

A university program that incorporates case studies in Image Classification, which will immerse you in the reality of a profession full of opportunities"

A curriculum tailored to your needs and designed under the most effective teaching methodology: Relearning"

With this postgraduate certificate, consisting of 150 teaching hours, graduates will achieve an effective update of their knowledge on Convolutional Networks and Image Classification in Computer Vision. They will also incorporate the latest developments in this technological area into their daily procedures. In this way, they will skillfully handle state-of-the-art technological tools aimed at CNN training and statistical data evaluation.  In addition, professionals will be highly prepared to provide innovative and creative solutions to stand out in the digital industry.

You will master the Model Training to increase your job visibility in an ever-expanding market"

General Objectives

• Develop convolutional neural networks
• Analyze existing metrics and tools
• Examine the pipeline of an image classification network
• Propose inference methods

Specific Objectives

• Generate specialized knowledge on convolutional neural networks
• Establish evaluation metrics
• Analyze the performance of CNNs for image classification
• Assess Data Augmentation
• Propose techniques to avoid Overfitting
• Examine different architectures and compile inference methods

The career advancement you are looking for is now within your reach. Don't let it go”