Postgraduate certificate Testing in Artificial Intelligence Applications

Artificial Intelligence (AI)-based Bug Detection is a key technique in software development, helping to improve both the quality and reliability of applications. These advanced tools help developers to quickly identify bugs in code, even before thorough testing is carried out. This enables problems to be corrected more quickly and at lower cost. In addition, these resources are used to identify critical security issues, helping to prevent errors or vulnerabilities in the software. With this in mind, TECH is creating a 100% online university course focusing on the design and effective writing of test cases as part of QA Testing.

University certificate

duration

6 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

Credits

6 ECTS

financing up to

3 months

Price(first year)

See price

The world's largest faculty of information technology”

Introduction to the Program

Detectarás los diferentes bugs para garantizar la calidad y el buen funcionamiento de las aplicaciones en móviles gracias a este programa 100% online”

Las aplicaciones de Aprendizaje Automático pueden ser vulnerables a ataques cibernéticos y adversarios que intentan explotar debilidades en los modelos. En este sentido, el Testing constituye una herramienta valiosa para ayudar tanto a identificar como mitigar las posibles amenazas. Es por ello que estos programas deben funcionar de manera robusta ante diversas situaciones. Así los informáticos podrán verificar cómo se comportan los modelos en diferentes escenarios y cómo manejan datos imprevistos. No obstante, para esto es indispensable que los profesionales manejen con eficacia las técnicas más avanzadas del testing y permanezcan al corriente de los avances que se producen en esta área.

En este contexto, TECH lanza un Postgraduate certificate que ahondará en las diversas fases del ciclo de vida de testing para el aseguramiento de la calidad. Diseñado por expertos en la materia, el plan de estudios profundizará en la aplicación de técnicas de detección temprana de bugs mediante análisis estático. Los alumnos estarán cualificados para diseñar planes de pruebas, aplicando una constante evaluación para aplicar los ajustes que sean necesarios. También el temario analizará diferentes estrategias con aplicaciones móviles a partir de componentes de Inteligencia Artificial. De este modo, los egresados usarán algoritmos de Aprendizaje Automático para la detección de problemas en el rendimiento de los programas.

Una enseñanza que facilita, además, el aprendizaje gracias a una modalidad 100% online, que permite al alumnado acceder a su contenido con un dispositivo con conexión a Internet (como un móvil, ordenador o tablet) y a cualquier hora o momento del día. De este modo, podrán planificar tanto sus horarios como cronogramas evaluativos individualmente. Además, la biblioteca de recursos y los casos reales complementan esta titulación universitaria, que ofrece una gran oportunidad para especializarse en un área con gran demanda en el sector tecnológico.

Diseñarás planes de pruebas para establecer estrategias sólidas, verificando que los programas se ejecuten con eficacia”

Este Postgraduate certificate en Testing in Artificial Intelligence Applications contiene el programa educativo más completo y actualizado del mercado. Sus características más destacadas son:

El desarrollo de casos prácticos presentados por expertos en Inteligencia Artificial en la Programación
Los contenidos gráficos, esquemáticos y eminentemente prácticos con los que está concebido recogen una información científica y práctica sobre aquellas disciplinas indispensables para el ejercicio profesional
Los ejercicios prácticos donde realizar el proceso de autoevaluación para mejorar el aprendizaje
Su especial hincapié en metodologías innovadoras
Las lecciones teóricas, preguntas al experto, foros de discusión de temas controvertidos y trabajos de reflexión individual
La disponibilidad de acceso a los contenidos desde cualquier dispositivo fijo o portátil con conexión a internet

Aprovecha todos los beneficios de la metodología Relearning, la cual te permitirá organizar tu tiempo y ritmo de estudio, adaptándose a tus horarios”

El programa incluye en su cuadro docente a profesionales del sector que vierten en esta capacitación la experiencia de su trabajo, además de reconocidos especialistas de sociedades de referencia y universidades de prestigio.

Su contenido multimedia, elaborado con la última tecnología educativa, permitirá al profesional un aprendizaje situado y contextual, es decir, un entorno simulado que proporcionará una capacitación inmersiva programada para entrenarse ante situaciones reales.

El diseño de este programa se centra en el Aprendizaje Basado en Problemas, mediante el cual el profesional deberá tratar de resolver las distintas situaciones de práctica profesional que se le planteen a lo largo del curso académico. Para ello, contará con la ayuda de un novedoso sistema de vídeo interactivo realizado por reconocidos expertos.

Te convertirás en un experto del API Testing en tan solo 6 semanas gracias a esta titulación universitaria"

Diseñarás planes de pruebas para establecer estrategias sólidas, verificando que los programas se ejecuten con eficacia"

Syllabus

This university program will immerse students in the testing life cycle, from the creation of test cases to the detection of bugs. The syllabus will also provide students with innovative strategies for manual and automated test planning. In addition, the didactic content will explore various specific testing tools for mobile platforms based on Artificial Intelligence. In addition, the didactic contents will explore various specific testing tools for mobile platforms based on Artificial Intelligence. In this way, graduates will be highly qualified to take advantage of the opportunities offered by an ever-expanding IT industry.

You will learn through real cases and by solving complex situations in simulated learning environments”

Module 1. AI for QA Testing

1.1. Software Testing Life Cycle

1.1.1. Description and Understanding of the Testing Life Cycle in Software Development
1.1.2. Phases of the Testing Life Cycle and its Importance in Quality Assurance
1.1.3. Integration of Artificial Intelligence in Different Stages of the Testing Life Cycle
1.1.4. Strategies for Continuous Improvement of the Testing Life Cycle using AI

1.2. Test Cases and Bug Detection with the Help of ChatGPT

1.2.1. Effective Test Case Design and Writing in the Context of QA Testing
1.2.2. Identification of Bugs and Errors during Test Case Execution
1.2.3. Application of Early Bug Detection Techniques using Static Analysis
1.2.4. Use of Artificial Intelligence Tools for the Automatic Identification of Bugs in Test Cases

1.3. Types of Testing

1.3.1. Exploration of Different Types of Testing in the QA Environment
1.3.2. Unit, Integration, Functional, and Acceptance Testing: Characteristics and Applications
1.3.3. Strategies for the Selection and Appropriate Combination of Testing Types in Projects with ChatGPT
1.3.4. Adaptation of Conventional Testing Types to Projects with ChatGPT

1.4. Creation of a Testing Plan Using ChatGPT

1.4.1. Design and Structure of a Comprehensive Testing Plan
1.4.2. Identification of Requirements and Test Scenarios in AI Projects
1.4.3. Strategies for Manual and Automated Test Planning
1.4.4. Continuous Evaluation and Adjustment of the Testing Plan as the Project Develops

1.5. AI Bug Detection and Reporting

1.5.1. Implementation of Automatic Bug Detection Techniques using Machine Learning Algorithms
1.5.2. Use of ChatGPT for Dynamic Code Analysis to Search for Possible Bugs
1.5.3. Strategies for Automatic Generation of Detailed Reports on Bugs Detected Using ChatGPT
1.5.4. Effective Collaboration between Development and QA Teams in the Management of AI-Detected Bugs

1.6. Creation of Automated Testing with AI

1.6.1. Development of Automated Test Scripts for Projects Using ChatGPT
1.6.2. Integration of AI-Based Test Automation Tools
1.6.3. Using ChatGPT for Dynamic Generation of Automated Test Cases
1.6.4. Strategies for Efficient Execution and Maintenance of Automated Test Cases in AI Projects

1.7. API Testing

1.7.1. Fundamental Concepts of API Testing and its Importance in QA
1.7.2. Development of Tests for the Verification of APIs in Environments Using ChatGPT
1.7.3. Strategies for Data and Results Validation in API Testing with ChatGPT
1.7.4. Use of Specific Tools for API Testing in Projects with Artificial Intelligence

1.8. AI Tools for Web Testing

1.8.1. Exploration of Artificial Intelligence Tools for Test Automation in Web Environments
1.8.2. Integration of Element Recognition and Visual Analysis Technologies in Web Testing
1.8.3. Strategies for Automatic Detection of Changes and Performance Problems in Web Applications Using ChatGPT
1.8.4. Evaluation of Specific Tools for Improving Efficiency in Web Testing with AI

1.9. Mobile Testing Using AI

1.9.1. Development of Testing Strategies for Mobile Applications with AI Components
1.9.2. Integration of Specific Testing Tools for AI-Based Mobile Platforms
1.9.3. Use of ChatGPT for Detecting Performance Problems in Mobile Applications
1.9.4. Strategies for the Validation of Interfaces and Specific Functions of Mobile Applications by AI

1.10. QA Tools with AI

1.10.1. Exploration of QA Tools and Platforms that Incorporate Artificial Intelligence Functionality
1.10.2. Evaluation of Tools for Efficient Test Management and Test Execution in AI Projects
1.10.3. Using ChatGPT for the Generation and Optimization of Test Cases
1.10.4. Strategies for Effective Selection and Adoption of QA Tools with AI Capabilities

A flexible university program, without fixed schedules and with content available 24 hours a day. Enroll now!”

Postgraduate Certificate in Testing in Artificial Intelligence Applications

In today's dynamic technological landscape, testing Artificial Intelligence Applications has become an essential competency to ensure the reliability and efficiency of these advanced solutions. TECH Global University is proud to present the Postgraduate Certificate in Artificial Intelligence Applications Testing, a unique opportunity to hone your skills from anywhere through our quality online classes. Our program will provide you with the knowledge you need to address the specific challenges of testing in the field of artificial intelligence. Through our online classes, you will have access to up-to-date content and learn at your own pace, adapting the learning to your daily schedule. We stand out for our commitment to academic excellence and the practical application of knowledge. By enrolling in our Postgraduate Certificate, you will have the opportunity to learn from leading professionals in the field of Artificial Intelligence Applications Testing, who will share their experience and best practices with you.

Get trained online in the world of artificial intelligence.

TECH's virtual classes not only offer you flexibility, but also the advantage of accessing high quality education from any location. You will be immersed in a collaborative virtual environment, interacting with professors and peers from all over the world, enriching your educational experience. This Postgraduate Certificate will enable you to master specific testing strategies and tools for artificial intelligence applications. You will learn to identify and solve potential problems, ensuring the quality and effectiveness of the solutions you implement. With the Postgraduate Certificate obtained at the end of the course, you will not only validate your skills, but also position yourself as a competent professional in the testing of artificial intelligence applications. This training will give you a competitive advantage in today's job market, where the demand for experts in this field continues to grow. Take the decisive step in your professional career with the support of TECH Global University. Discover the possibilities offered by our Postgraduate Certificate in Artificial Intelligence Applications Testing. Enroll now and take your skills to the next level!