The Relearning system will reduce the long hours of study, so frequent in other teaching methods"

Artificial Intelligence tools play a significant role in improving productivity, both in programming and software development. Among their applications, they detect and correct errors more efficiently, reducing the time spent on manual debugging. In line with this, these mechanisms search for security vulnerabilities and perform security audits in an exhaustive manner, which implies an optimization of application protection. In this way, IT specialists can consider aspects such as predicting deadlines or allocating resources to improve their schedules.

In this context, TECH has designed a pioneering course that will provide strategies to improve productivity in software development with Artificial Intelligence. Therefore, the syllabus will delve into aspects such as repository management, the integration of Machine Learning with databases and automatic translation between programming languages.

Emphasis will also be placed on the implementation of Clean Architecture to computer procedures, since it improves code quality and allows a more collaborative development. On the other hand, the materials will provide the keys to create projects with Intelligent Computing, both in LAMP and MEVN environments. In addition, multiple real case studies and exercises will be included, to bring the development of the program closer to the usual computing practice.

The curriculum will be based on a theoretical-practical perspective, offering the professional an intensive learning about web projects with Artificial Intelligence. In this way, students will assimilate the contents thanks to video summaries of each topic, specialized readings and infographics. Also, thanks to TECH's Relearning system, programmers will progress in a natural way, consolidating new concepts more easily, thus reducing the long hours of study.  The only requirement for this university program will be to have an electronic device with an Internet connection, to access the Virtual Campus at any time. 

You will delve into various strategies that will help you in the maintainability of applications with Machine Learning"

This postgraduate diploma in Application of Artificial Intelligence Techniques in the Life Cycle of Software Projects contains the most complete and up-to-date program on the market. Its most notable features are:

• The development of practical cases presented by experts in Application of Artificial Intelligence Techniques in the Life Cycle of Software Projects
• 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

You will delve into code optimization using ChatGPT, one of the latest trends that have revolutionized the IT landscape"

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 prepare the optimal development environments for your IT processes, all thanks to this innovative 100% online program"

You will achieve your objectives thanks to TECH's didactic tools, including explanatory videos and interactive summaries"

Upon completion of this program, programmers will master the configuration of software development environments, optimized through the use of Artificial Intelligence. They will also implement Visual Studio Code extensions to their procedures, which will improve productivity. In line with this, professionals will also develop skills to design solid test plans, covering different testing typologies to guarantee the quality of the applications. In addition, they will use the most advanced QA tools for optimal bug detection.

You will develop the frontend device and design highly personalized user experiences"

General Objectives

• Develop skills to set up and manage efficient development environments, ensuring a solid foundation for the implementation of Artificial Intelligence projects
• Acquire skills in planning, executing and automating quality tests, incorporating Artificial Intelligence tools for bugdetection and remediation
• 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

Module 1. Improving Software Development Productivity with Artificial Intelligence

• Delve into the implementation of must-have Artificial Intelligence extensions in Visual Studio Code to improve productivity and facilitate software development
• Gain a solid understanding of basic Artificial Intelligence concepts and their application in software development, including machine learning algorithms, natural language processing, neural networks, etc
• Master the setup of optimized development environments, ensuring that students are able to create environments conducive to Artificial Intelligence projects
• Apply specific techniques using ChatGPT for automatic identification and correction of potential code improvements, encouraging more efficient programming practices
• Promote collaboration between different programming professionals (from programmers to data engineers to user experience designers) to develop effective and ethical Artificial Intelligence software solutions

Module 2. Software Architecture for QA Testing

• Develop skills to design solid test plans, covering different types of testingand ensuring software quality
• Recognize and analyze different types of software frameworks, such as monolithic, microservices or service-oriented
• Gain a comprehensive view on the 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 Artificial Intelligence-powered data structures to optimize software performance and efficiency
• Develop secure development practices, with a focus on avoiding vulnerabilities to ensure software security at the architectural level

Module 3. Artificial Intelligence for QA Testing

• 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 Artificial Intelligence-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 Artificial Intelligence tools to improve process efficiency
• Use advanced Artificial Intelligence-powered QA tools for more efficient bugdetection and continuous software improvement

A unique training experience, key and decisive to boost your professional development"