Our Teaching

We are committed to delivering comprehensive education in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision across various proficiency levels.

Our teaching approach is designed to impart a deep understanding of these cutting- edge technologies. Through engaging courses tailored for different levels of expertise, we aim to empower learners with theoretical knowledge, practical skills, and hands-on experience.

Furthermore, our teaching methodology integrates the latest industry trends, research advancements, and best practices, ensuring that students gain relevant, up-to-date knowledge that aligns with the dynamic landscape of AI, ML, and Computer Vision.

By fostering an inclusive and collaborative learning environment, we aim to inspire and equip individuals from various backgrounds to become proficient in these transformative technologies, enabling them to contribute meaningfully to the ever- evolving field of AI and its practical applications”

Courses taught

Machine Learning (Fall 2023)

Machine Learning (Spring 2023)

Research Methodologies (Spring 2023)

Computer Vision (Fall 2022)

Advanced Topics on Computer Vision (Fall 2022)

Research Methodologies (Spring 2022)

Pattern Recognition (Spring 2021)

Computer Vision (Fall 2020)

Digital Image Processing (Spring 2020)

Linear Algebra (Fall 2019)

Pattern Recognition (Spring 2019)

Linear Algebra (Fall 2018)

Our Teachers