Gained foundational knowledge of cloud computing concepts and deployment models. Explored IaaS, PaaS, SaaS, and the core benefits of cloud technologies.
Completed a hands-on course on version control using Git and collaboration via GitHub. Learned branching, merging, and repository management essentials.
Gained a solid foundation in programming fundamentals using Python. Explored data types, control flow, functions, and basic algorithms to solve real-world problems.
Completed a comprehensive specialization covering calculus, linear algebra, and probability & statistics — building a strong mathematical foundation for machine learning and data science.
Built a strong foundation in linear algebra concepts for machine learning and data science, covering vectors, matrices, and their real-world applications.
Developed a solid understanding of probability and statistics for machine learning and data science, focusing on data distributions, sampling, and inference.
