Courses & Learning Path - Amirreza Vishteh

🎓 Courses & Learning Path Summary

From foundational CS to AI Safety and NLP — A deliberate progression through mathematics, hardware design, algorithms, and machine learning, reflecting commitment to understanding AI systems from logic gates to transformer architectures.


Academic Development

Builds on IUST and Sharif coursework spanning core CS, hardware, probability, and NLP so I can contribute to AI safety, Persian NLP, and neural architecture work.

💡 Learning Philosophy

Learning happens in tandem with teaching: every course, TA experience, or certification cements a conceptual foundation that fuels ongoing research. I balance formal seminars (e.g., HBC2024) and Coursera tracks with self-directed projects to keep both theory and practice fresh.

Current Courses & Research

Year Semester Course Image
2023 Fall Natural Language Processing  

Seminars

Year Semester Course Image
2024 spring Healthcare, Bioinformatics, and Computational Biology(HBC2024) name

Coursera Certificates

Year Semester Course Image
2023 Fall Advanced Learning Algorithm name
2023 Fall Supervised Machine Learning name
2023 Fall Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization name
2024 Fall AI Workflow: Machine Learning, Visual Recognition and NLP name

Past Courses

Year Semester Course
2022 Fall Artificial Intelligence
2022 winter Computer Aided Design(VHDL)
2022 winter Computer Vision
2021 winter Algoritm
2020 Fall Computer Advanced Programming
2020 Fall History Lesson
2020 Fall Web Design
2020 Fall Math2
2020 Fall Andisheh Eslamic2
2020 Fall Computer Programming Fundamentals
2020 Fall English Course
2020 Fall Math
2020 Fall Andisheh Eslamic

📥 Resumes & CVs

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