Courses & Certificates

Comprehensive study of software engineering principles and practices. Covered software development lifecycle, requirements engineering, system design, testing methodologies, and project management. Practical experience with version control, code review processes, and agile development methodologies. Focused on building scalable and maintainable software systems.

Fundamental course in computer science covering essential data structures and algorithmic problem-solving techniques. Studied arrays, linked lists, stacks, queues, trees, graphs, and hash tables. Implemented and analyzed sorting algorithms, search algorithms, and graph traversal methods. Emphasis on time and space complexity analysis and algorithm optimization.

Comprehensive specialization covering the foundations of deep learning. Completed five courses including Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, and Sequence Models. Gained practical experience with TensorFlow and Keras frameworks for building and training neural networks.

Professional certification program covering AI engineering fundamentals and practical applications. Completed courses including machine learning, deep learning, and AI model deployment. Focused on building scalable AI systems and MLOps practices.

Comprehensive data science certification covering Python programming, data analysis, and machine learning. Completed projects involving data visualization, statistical analysis, and predictive modeling using industry-standard tools and methodologies.