You will detect the different bugs to ensure the quality and proper functioning of mobile applications thanks to this 100% online program” 

Machine Learning applications can be vulnerable to cyber attacks and adversaries attempting to exploit weaknesses in the models. In this sense, testing is a valuable tool to help both identify and mitigate potential threats. This is why these programs must perform robustly in a variety of situations. In this way, computer scientists will be able to verify how the models behave in different scenarios and how they handle unexpected data. However, for this, it is essential for professionals to effectively handle the most advanced testing techniques and to keep abreast of developments in this area.

In this context, TECH launches a Postgraduate certificate that will delve into the various phases of the testing life cycle for quality assurance. Designed by experts in the field, the curriculum will delve into the application of early bug detection techniques through static analysis. Students will be qualified to design test plans, applying a constant evaluation to apply the necessary adjustments. The syllabus will also analyze different strategies with mobile applications based on Artificial Intelligence components. In this way, graduates will use Machine Learning algorithms to detect problems in the performance of the programs.

This teaching also facilitates learning thanks to a 100% online modality, which allows students to access the content with a device with an Internet connection (such as a cell phone, computer or tablet) and at any time or moment of the day. In this way, they will be able to plan their schedules and evaluation chronograms individually. In addition, the resource library and case studies complement this university program, which offers a great opportunity to specialize in an area that is in great demand in the technology sector.

You will design test plans to establish solid strategies, verifying that the programs are executed efficiently”

This Postgraduate certificate in Testing in Artificial Intelligence Applications contains the most complete and up-to-date program on the market. The most important features include: 

• Development of practical cases presented by experts in Artificial Intelligence in Programming
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable 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

Take advantage of all the benefits of the Relearning methodology, which will allow you to organize your time and pace of study, adapting to your schedule”

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will become an API Testing expert in just 6 weeks with this university program"

You will design test plans to establish solid strategies, verifying that programs run effectively"

Through this university program, computer scientists will acquire the skills to design and execute robust test plans. Therefore, graduates will cover different types of testing to ensure software quality at all times. In addition, students will elaborate automated tests efficiently, especially in web and mobile environments, integrating Artificial Intelligence tools to improve the optimization of the process. Likewise, professionals will handle the most advanced QA tools that are powered by Artificial Intelligence. This will enable more efficient bug detection and continuous software improvement. 

You will delve into the testing lifecycle, from the creation of test cases to bug detection. And all in a convenient 100% online format!”

General Objectives

• Develop skills to configure and manage efficient development environments, ensuring a solid foundation for the implementation of AI projects 
• Acquire skills in planning, executing and automating quality testing, incorporating AI tools for bug detection and correction 
• Understand and apply performance, scalability and maintainability principles in the design of large-scale computing systems 
• Become familiar with the most important design patterns and apply them effectively in software architecture

Specific Objectives

• Master principles and techniques for designing computer systems that are scalable and capable of handling large volumes of data 
• Apply advanced skills in the implementation of AI-powered data structures to optimize software performance and efficiency 
• Understand and apply secure development practices, with a focus on avoiding vulnerabilities such as injection, to ensure software security at the architectural level 
• Generate automated tests, especially in web and mobile environments, integrating AI tools to improve process efficiency 
• Use advanced AI-powered QA tools for more efficient bug detection and continuous software improvement

No rigid schedules or evaluative timelines. That's how flexible this TECH training is!”