Thanks to this TECH Hybrid professional master’s degree, you will acquire a deep understanding of the essential fundamentals of Artificial Intelligence, such as algorithms, data mining and intelligent systems”

According to recent data, the use of Artificial Intelligence (AI) in programming has made it possible to automate repetitive and complex tasks, reducing development times and increasing accuracy in error detection. Leading technology companies have integrated AI into their software development workflows, improving efficiency and facilitating the creation of more intelligent and adaptable applications.

In this way, this Hybrid professional master’s degree was created, which will establish the fundamentals of Artificial Intelligence, providing computer scientists with a solid foundation in theory and key concepts. In addition, data types and their efficient management for AI applications will be analyzed, as well as the role of data in AI, including how it can be optimized and used effectively to improve results.

Professionals will also dive into cutting-edge technologies, such as TensorFlow, and specialized applications, such as natural language processing and recurrent neural networks. In this way, they will be prepared to face complex challenges in fields such as bio-inspired computing and productivity improvement. Likewise, the software architecture for QA Testing and the development of web and mobile applications will be explored.

Finally, the curriculum will focus on the implementation of AI to improve the quality of software testing, a comprehensive approach that will ensure that students are prepared to understand Artificial Intelligence in depth, applying it effectively in real-world projects

In this context, TECH has developed a university program that integrates theory, completely online, with a practical stay of 3 weeks in the main companies of the sector. In this way, the first part of the academic itinerary will be adjusted to the graduate's work and personal schedule, who will only need an electronic device with Internet access. Additionally, it will be based on the revolutionary Relearning methodology, which emphasizes the review of key concepts for an effective and natural assimilation of the content.

It focuses you on practical applications of AI in different contexts, such as web projects, mobile applications and QA Testing, hand in hand with the best digital university in the world, according to Forbes: TECH”

This Hybrid professional master’s degree in Artificial Intelligence in Programming contains the most complete and up-to-date program on the market. The most important features include:

• Development of more than 100 case studies presented by Artificial Intelligence professionals and university professors with extensive experience in its application in programming
• The graphic, schematic and eminently practical contents with which they are conceived, gather essential information on those procedures and tools essential for professional practice
• All of this will be complemented by 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
• Furthermore, you will be able to carry out an internship in one of the best companies

You will analyze the types and life cycle of data, as well as its direct application in data mining, through the best teaching materials, at the forefront of technology and education”

In this Hybrid professional master’s degree proposal, of professionalizing character and blended learning modality, the program is aimed at updating professionals of Artificial Intelligence in Programming, who develop their functions in companies specialized in this field, and who require a high level of qualification. The contents are based on the latest scientific evidence, and oriented in a didactic way to integrate theoretical knowledge in computer science practice, and the theoretical-practical elements will facilitate the updating of knowledge and allow decision making.

Thanks to its multimedia content elaborated with the latest educational technology, they will allow the IT professional to learn in a contextual and situated way, that is to say, a simulated environment that will provide an immersive learning programmed to train in real situations. This program is designed around Problem-Based Learning, whereby the physician must try to solve the different professional practice situations that arise during the course. For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will carry out an intensive practical stay of 3 weeks in a prestigious company and will acquire all the knowledge to grow personally and professionally"

You will be immersed in advanced topics, such as deep neural networks and their training using tools such as TensorFlow, thanks to a unique and innovative training system"

The skills acquired in this university program will cover a wide range of technical and practical skills that will prepare computer scientists to face complex challenges in software development. In this way, they will develop the ability to configure and manage efficient development environments, integrating Artificial Intelligence extensions in tools such as Visual Studio Code, to increase productivity. They will also use ChatGPT to optimize and improve code quality, applying advanced programming practices. In the field of QA Testing, you will acquire skills in planning, executing and automating quality tests.

You will master end-to-end web development and the creation of AI-powered mobile applications, ensuring the performance, scalability and security of systems”

General Skills

• Apply AI extensions in Visual Studio Code and no-code design techniques to increase efficiency in software development
• Use ChatGPT to optimize and improve code quality, applying advanced programming practices
• Implement web projects, from workspace creation to deployment, integrating AI on both the frontend and backend
• Develop AI-enabled mobile applications, from environment configuration to the creation of advanced features and management of graphical resources 
• Apply advanced storage concepts and AI-powered data structures to improve system efficiency and scalability 
• Include secure development practices, avoiding vulnerabilities such as injection, to ensure the integrity and security of developed software

Specific Skills

• Apply AI techniques and strategies to improve efficiency in the retail sector
• Implement noise removal techniques using automatic encoders 
• Effectively create training data sets for natural language processing (NLP) tasks 
• Run grouping layers and their use in Deep Computer Vision models with Keras 
• Use TensorFlow features and graphics to optimize the performance of custom models 
• Optimize the development and application of chatbots and virtual assistants, understanding their operation and potential applications 
• Master reuse of pre-workout layers to optimize and accelerate the training process 
• Build the first neural network, applying the concepts learned in practice 
• Activate Multilayer Perceptron (MLP) using the Keras library 
• Apply data scanning and preprocessing techniques, identifying and preparing data for effective use in machine learning models 
• Investigate languages and software for the creation of ontologies, using specific tools for the development of semantic models 
• Develop data cleaning techniques to ensure the quality and accuracy of the information used in subsequent analyses 
• Master the configuration of optimized development environments, ensuring that students are able to create environments conducive to AI projects 
• Apply specific techniques, using ChatGPT for the automatic identification and correction of potential code improvements, encouraging more efficient programming practices 
• Create 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 
• Integrate AI into cloud computing, enabling to study create highly scalable and efficient web projects 
• Delve into the configuration of the mobile app framework and use Github Copilot to streamline the development process

You will apply design patterns and secure development practices, ensuring the integrity and protection of the developed software. What are you waiting for to enroll?"