Optimize your practice with the most innovative strategies in Web Computer Vision thanks to this 100% online program"

Image segmentation with Deep Learning has led to significant advances in fields such as robotics, medicine or security. The main reason is that these systems make it possible to automate complex tasks and analyze large volumes of data in a short period of time. Therefore, experts gain a better understanding thanks to accurate images of the objects of interest. However, in order to enjoy its multiple benefits, it is essential that professionals acquire new skills and incorporate the latest advances in this area into their usual procedures. 

For this reason, TECH implements a postgraduate diploma that will delve into Advanced Web Computer Vision Techniques. Designed by experts in this field, the curriculum will delve into 3D image processing, using the most innovative software for the visualization of materials. The syllabus will also focus on photo segmentation methods using Deep Learning Moreover, students will examine in detail the Semantic Segmentation Project to develop systems that require an accurate understanding of digital images. It should be noted that the academic itinerary will include the analysis of real case studies and exercises aimed at raising students' competencies.  

Regarding the methodology of the program, it is taught 100% online. In this sense, the only thing students will need is an electronic device with Internet access to enter the Virtual Campus and enjoy the most dynamic didactic content. In addition, TECH uses an innovative pedagogical system:Relearning. This consists of repeating the key contents in a natural way, so that students can learn progressively. Undoubtedly, this is an excellent opportunity for professionals to get a complete update through a university program that adapts to the real needs of experts. 

You will have full mastery of Generative Adversarial Networks and create high quality multimedia content”

This postgraduate diploma in Advanced Web-Based Computer Vision Techniques 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 computer science and computer vision
• The graphic, schematic and practical contents with which it is conceived scientific 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 access the most effective databases to solve general segmentation problems and evaluate algorithms effectively”

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.  

You will be highly qualified to handle the various segmentation tools using different frameworks"

The Relearning system will lead you to advance in a much more agile way through image segmentation with Deep Learning"

Through 450 hours of learning, this postgraduate diploma will transfer to the graduates the most innovative procedures in Computer Vision. In this way, they will enrich their professional practice with the most advanced tools for 3D Image Processing. In addition, they will be characterized by having a deep knowledge of how Deep Learning works. This will enable them to analyze large volumes of data and perform complex tasks automatically. They will also acquire advanced practical skills, which will allow them to correctly handle the main snapshot visualization software. 

This program will allow you to learn through virtual learning systems, so that you can carry out your tasks with total guarantee of success"

General Objectives

• Analyze semantic segmentation neural networks and their metrics
• Identify the most common architectures
• Establish Use Cases
• Apply correct cost function for learning
• Analyze public data sources (Datasets)
• Examine different labeling tools
• Develop the main phases of a segmentation-based project
• Determine how a 3D image is formed and its characteristics
• Introducing the open 3D library
• Analyze the advantages and difficulties of working in 3D instead of 2D
• Establish methods for the processing of 3D images

Specific Objectives

Module 1. 3D Image Processing

• Examine a 3D image
• Analyze the software used for 3D data processing
• Developing open3D
• Determine the relevant data in a 3D image
• Demonstrate visualization tools
• Establish denoising filters
• Propose Geometric Calculation tools
• Analyze object detection methodologies
• Evaluate triangulation and scene reconstruction methods

Module 2. Image Segmentation with Deep Learning

• Analyze how semantic segmentation networks work
• Evaluate traditional methods
• Examine evaluation metrics and different architectures
• Examine video domains and cloud points
• Apply theoretical concepts through various examples

Module 3. Advanced Image Segmentation and Advanced Computer Vision Techniques

• Generate specialized knowledge on the handling of tools
• Examine Semantic Segmentation in medicine
• Identify the structure of a segmentation project
• Analyze Autoencoders
• Develop Adversarial Generative Networks

An educational experience that will make you a complete specialist in web-based computer vision. And in only 450 hours!"