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Graduates will be qualified to work as IT technicians across all sectors that integrate AI technologies into business processes.
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They can find employment as technical personnel in a range of sectors, including small to medium-sized AI-based software and web service providers, the finance industry, data platforms with recommendation systems, and public automation systems.
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As part of the broader field of IT technicians, graduates will address the demand for AI technology technicians, a new specialization within the industry.
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AI Systems Analyst: Graduates can participate in the preliminary work for AI development projects, contribute to AI system modeling, document system compatibility for application environments, work on system improvement and updates, and engage in professional development activities.
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AI Programmer: Graduates will contribute by researching methods for data organization, assisting in the preprocessing of datasets, addressing data imbalances, missing values, and outliers, supporting model selection, adapting pretrained models to specific problems, preventing model overfitting, conducting error analysis, and refining model performance.
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They may also take the Vertical Transfer Exam (DGS) to pursue bachelor's degree programs related to their field.
Graduate Competencies
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Mastery of AI Technologies at Software and Hardware Levels: Students will gain a deep understanding and skills in designing, developing, and applying AI algorithms, enabling them to create innovative solutions for future technological needs.
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Ability to Integrate AI Technologies into Software: Graduates will have the ability to integrate AI-related software into existing systems, facilitating data and process sharing between platforms and ensuring the effective use of AI solutions.
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Data Set Organization, Model Training, and Testing in Machine Learning Projects: Graduates will be capable of preparing datasets for machine learning projects, identifying the necessary algorithms for model training, and testing the accuracy of these models, ensuring the successful development of data-driven AI solutions.
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Management of AI-based Technologies Providing Software Services: Graduates will be able to manage AI-based technologies offered through software services, including their installation, configuration, monitoring, and updating. This competency ensures they can effectively utilize and manage AI-based services.
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Application of IT Architectures for Big Data Processing: Graduates will be capable of designing, implementing, and managing the IT architectures necessary to process large datasets. This skill enhances the performance of big data analytics and AI applications, enabling students to manage and process data-intensive workloads efficiently.