Courses

Introduction to Programming (C Language)

I learned fundamental programming concepts, including data types, control structures, and memory management. This course strengthened my problem-solving skills by implementing algorithms in C, helping me develop a structured approach to coding and debugging.

Physiscs

I covered mechanics, thermodynamics, electromagnetism, and basic electronics. I think understanding physics is crucial for embedded systems and robotics, as it helps with sensor integration, motion dynamics, and control systems. 

Machine Learning

This course covered regression, classification, clustering, and deep learning concepts. I worked with algorithms like decision trees, SVMs, neural networks, and reinforcement learning. Some practical applications include data analysis, AI-driven models, and real-world predictive systems.

Artificial Intelligence (AI)

AI introduced  me with machine learning, search algorithms, knowledge representation, and decision-making models. I learned about supervised and unsupervised learning, neural networks, and AI applications in areas like NLP and robotics.

Embedded Systems and Robotics

This courses covered microcontrollers, interfacing sensors, real-time operating systems, and robotics applications. I worked with Arduino, Raspberry Pi and sensors etc to develop automation and IoT-based projects.

Data Structures and Algorithms

I gained an in-depth understanding of data structures such as arrays, linked lists, stacks, queues, and trees. I learned how to design and analyze algorithms, focusing on efficiency and complexity. These courses played a crucial role in improving my problem-solving skills and algorithmic thinking.