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Free Course of USP Offers Quick Training in AI Applied to Health and Work Safety, with Limited Spots and Certification Valid Across the Country. The Format is Fully Online and Targeted at Professionals and Students.
The University of São Paulo (USP), through the School of Engineering of Lorena, is accepting applications for the free and distance course “Artificial Intelligence Applied to Health and Work Safety (SST)”, which offers 600 spots and a certificate issued by USP itself, valid throughout the national territory.
The training, aimed at dissemination and completely online, will take place from December 3, 2025, to February 1, 2026, focusing on practical applications of AI in risk prevention and in the management of work environments.
Targeted at professionals and students who work or wish to work in Health and Work Safety, the course aims to bring AI concepts closer to the daily life of SST, presenting tools that are already being used in data analysis, support for ergonomics, decision-making, and accident mitigation.
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The proposal is to update participants’ curricula with topics that have been gaining space in companies and public organizations, without enrollment or monthly fees.
Although it is offered by a school of engineering, participation does not require a prior degree.
The course is classified as a dissemination activity, an extension modality aimed at broad and heterogeneous audiences, including safety technicians, engineers, occupational physicians, physiotherapists, nurses, human resources managers, and other professionals working in occupational health and work safety.
Course Content of AI in Health and Work Safety
Over 4 hours of class time, distributed over meetings on Wednesdays from 7 PM to 9 PM, participants will have a structured introduction to the main concepts of Artificial Intelligence applied to the SST area.
The organization highlights that the central objective is to enable students to identify opportunities for the use of AI in risk prevention and in the management of work environments, relating theory and practice in real situations.
The syllabus includes fundamentals of AI, notions of language models and intelligent systems aimed at safety data analysis, as well as examples of how these technologies can support reading indicators, preparing technical reports, and monitoring work environments.
The approach considers both the reality of large companies and that of smaller organizations seeking to begin using digital tools in risk management.
One of the highlights of the programming is prompt engineering, an area that deals with how to formulate efficient commands to extract useful answers from AI systems.
Participants will encounter best practices for building prompts aimed at typical SST tasks, such as preliminary risk analysis, support in writing reports, organizing checklists, and simulating prevention scenarios.
Additionally, the course includes the use of practical AI tools in SST and the discussion of case studies, where students will be able to observe situations in which artificial intelligence models have been applied to support decisions regarding ergonomics, work organization, or prioritization of corrective actions.
The program also includes a block dedicated to ethics and the future of AI in the field, addressing usage limits, responsibility for automated decisions, and care with sensitive data of workers.
Target Audience, Format, and Certification of USP
The training is aimed at professionals and students in areas related to Health and Work Safety who wish to understand how AI can be integrated into accident and occupational disease prevention routines.
The target audience includes both those who already work directly with SST and those who perform management, supervision, or consultancy functions in environments where work safety is a relevant requirement.
The course is offered in a 100% online format, with access granted to participants from all over Brazil and other countries.
The activities combine synchronous moments with materials available on a virtual platform, such as videos, supporting texts, and exercises, allowing students to follow the content even with a demanding professional routine.
The coordinator of the offer is Professor Eduardo Ferro dos Santos, from the School of Engineering of Lorena, a researcher with expertise in human-technology interaction and ergonomics.
Under his coordination, the course has been structured to engage with the professional practice of SST, bringing academic concepts closer to field demands.
To obtain the USP certificate, participants must meet all requirements set by the organization: attend classes, complete the proposed activities on the platform, and achieve a minimum score of 7.0 on a final assessment based on a case study.
Only those who pass this stage receive the completion certificate.
Selection Criteria and Availability of Spots
The current edition offers 600 spots, a number greater than that of the first class of the course.
The selection occurs on a first-come, first-served basis, making prompt registration essential to guarantee participation.
As this is a short-term course aimed at knowledge dissemination, there is no selection process involving testing or curriculum analysis.
The filling of spots follows the sequence of registrants until the limit established for the class.
The organization recommends that interested parties complete their registration as soon as possible and follow official channels for announcements regarding enrollment confirmation and access instructions.
How to Enroll in the Free AI Course at USP
Enrollment occurs in two stages: first, the candidate fills out the form available on the official course website; then, those approved receive instructions for registering their enrollment in the Apolo system, USP’s extension platform.
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