Satisfaction Assessment of Training in Artificial Intelligence With a Focus on Sustainable Projects for the Amazon

Objective: To list challenges and assess student satisfaction with training in artificial intelligence focused on developing sustainable projects for the Amazon. Theoretical Framework: AI refers to systems that model human intelligence to perform tasks, improving based on collected information. The digital transformation market has seen significant growth, with global investments expected to reach $665 billion by 2023. Method: The applied methodology consisted of a quantitative and qualitative approach. A specific form was used for the demographic study and student satisfaction. Only students who completed the training were included in the research. Results and Discussion: The sample used had a margin of error of 9.40% with a confidence level of 90%. The research conducted with the participants revealed a high satisfaction rate, with 98.1% of students declaring themselves satisfied or very satisfied with the offered training. Research Implications: The research revealed several important aspects of the training provided, the difficulties faced by the students, and their satisfaction in carrying out the specific activities of the course considering its various modules. Originality/Value: This training consisted of a pilot project by the Federal University of Amapá in partnership with the International Software Technology Center (CITS) that brings an innovative approach to developing sustainable projects for the Amazon using technical knowledge in Artificial Intelligence and considering high school and elementary school students.