With the rapid adoption of digital technologies and artificial intelligence, the requirements for training future computer science teachers are changing. Not only mastery of digital tools is becoming increasingly important, but also the ability to methodically use them when explaining educational material. The aim of the study was to develop and test an approach to using AI-based infographics in the training of future computer science teachers to teach information processes. The study was conducted as a pedagogical experiment. Sixty students participated: 30 in the control group and 30 in the experimental group. Students' readiness was assessed using cognitive, practical-technological, methodological, and reflective-critical criteria. The experimental group utilized a consistent approach to learning content, including analysis, visual presentation, application of artificial intelligence tools, verification of the resulting material, and methodological refinement. Following the formative phase, the proportion of students in the experimental group with a high level of readiness increased from 16.7% to 50.0%, while the integrated indicator increased from 63.3% to 81.1%. Differences between the control and experimental groups at the control phase were statistically significant (χ² = 6.664; p = 0.036). These results demonstrate the feasibility of incorporating AI infographics into the methodological training of future computer science teachers, provided that the resulting material is thoroughly and pedagogically verified. These numerical results are consistent with those already presented in the "Research Results" and "Conclusion" sections: the high level in the EG increased from 16.7% to 50.0%, the integrated indicator increased from 63.3% to 81.1%, and the final comparison yielded a p value of 0.036.