Computer Vision has a market that is growing exponentially and is breaking into all types of commercial industries"

Training a model from scratch requires a large amount of previously catalogued information, approximately 10,000 photos of each of the types to be differentiated. This takes hours to achieve good results. But in many cases, it is possible to start from previously trained models, this technique is known as Transfer Learning. This postgraduate certificate examines which network models are currently available, in order to facilitate the training of any model by applying the Transfer Learning technique.

In addition, this Certificate will analyze the main case studies that exist for computer vision: classification, object detection, object identification, object tracking. For example, Google uses these algorithms to be able to search from images. Facebook, for example, uses them to automatically identify and tag people in a photo. In addition, graduates will learn about the commercial uses of Computer Vision and where to apply the different models.

To this end, in only 6 weeks will delve into the scope of application of Computer Vision, understanding the competitive advantages they provide, so they will be positioned at the technological forefront and will be able to to lead ambitious projects in the present and in the future. Additionally, The student has the best study methodology 100% online, which eliminates the need to attend classes in person or have to comply with a predetermined schedule.

This diploma course delves into the concept of Computer Vision, its importance and its applications in real life"

This postgraduate certificate in Computer Vision. contains the most complete and up-to-date educational program on the market. Its most notable features are:

• The development of case studies presented by experts in Computing Vision
• 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 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

This diploma course delves into the concept of Computer Vision, its importance and its applications in real life"

The program’s teaching staff includes professionals from the 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 allow professionals to learn in a contextual and situated learning environment, i.e., a simulated environment that will provide immersive education programmed to prepare in real situations.

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

Artificial Intelligence has many branches and applications, but Computer Vision is by far the one that is having the most impact"

In addition, graduates will learn about the commercial uses of Computer Vision and where to apply the different models"

The main objective of this Diploma at the forefront of global digitization is to make a technical immersion in Computer Vision, one of the most relevant technologies and that will have greater prominence in technological advances in the coming years. The direct application of the knowledge acquired about this disruptive technology in real projects is an added professional value that very few computer scientists can offer, so the possibilities for professional growth of the students of this degree are immense.

You will acquire the ability to determine how the Convolution layer works and the Transfer Learning technique"

General Objectives

• Analyze how a computer is capable of identifying image
• Determine how the Convolution layer works and how Transfer Learning works.
• Identify the different types of algorithms mainly used in Computer Vision.

Specific Objectives

• Analyze what Computer Vision is
• Determine typical computer vision tasks
• Analyze, step by step, how convolution works and how Transfer Learning works.
• Identify what mechanisms we have available to create modified images, from our own to have more training data.
• Compile typical tasks that can be performed with computer vision
• Examine commercial computer vision use cases

This program will generate in you specialized knowledge so that you become a professional catalyst of the technologies of the future"