Classroom

Access courses in card format, with demonstrative content and direct navigation.

Course 1

Artificial Intelligence

Modeling, model evaluation, and problem-driven applications

schedule80 hours · Undergraduate
folder_openSlides, notebooks, case studies, exercises, and mini-projects
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Course 2

Real-Time Programming

ESP32, RTOS, concurrent tasks, and embedded practice

schedule80 hours · Undergraduate
folder_openPractices, simulations, code, challenges, and reports
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Course 3

Introduction to AI

Foundations, history, ethics, and critical reading of the field

schedule40 hours · Undergraduate
folder_openTexts, concept maps, slides, and introductory studies
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