Curso - CIESS

Application of Artificial Intelligence in Social Security

Mode: Online


Registration deadline: April 20th, 2025

Start date: May 20th, 2025

End date: July 3rd, 2025

Synchronous sessions: Tuesday and Thursday

Schedule: 10:00 to 13:00 hours (Mexico City time)

Total duration of the activity: 40 hours

Languages: English

Cost: 470 USD (410 USD tuition, 60 USD technological resources). Scholarship regulations apply.

Programme Clasification: Advanced

Application of Artificial Intelligence in Social Security

Mode: Online

Registration deadline: April 20th, 2025

Start date: May 20th, 2025

End date: July 3rd, 2025

Synchronous sessions: Tuesday and Thursday

Schedule: 10:00 to 13:00 (Mexico City time)

Total duration: 40 hours

Languages: English

Cost: 470 USD (410 USD tuition, 60 USD technological resources). Scholarship regulations apply.

Programme Classification: Advanced

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Idioma:   México  |  México
Diplomado

General objective

Implement predictive models and algorithms for responsible decision-making in social security systems aimed at promoting equity and welfare by means of the design, implementation and management of AI technologies.

Thematic content by module

1
Introduction to AI and Data Science.
2
Predictive models and automated learning (machine learning) for Social Security.
3
Deep learning for prediction in Social Security.
4
AI applications in social security branches.

Academic updates

In the 2025 Academic Program, we have improved the design of training activities by emphasizing the importance of asynchronous work, which will enhance and make your learning experience more flexible.

We invite you to continue exploring to understand this adjustment better.

Independent Work

Independent work includes all the activities that you must develop autonomously, that is, without the presence of a teacher. This approach is student-centered and allows you to:

  • To be in control of your learning process and better manage your time and resources.
  • Reflect on the knowledge acquired and detect areas that require attention and improvement.
  • Choose when and where to do the activities, adapting your learning process to your lifestyle.

Examples of independent activities:

  • Read materials or view content before an online class.
  • Researching a specific topic.
  • Working alone or in a team to prepare assignments or projects.

Sessions with teachers

These are sessions that take place virtually, requiring a real-time connection between students and teachers. This type of space allows you to:

  • To ask questions and receive answers on the spot, which facilitates the understanding of the topics.
  • Share ideas and experiences in a space where collaborative work and collective learning are encouraged.