Achieve fluency in SRE practices for maintaining reliable and scalable systems in software engineering.

Explore software architecture principles and design patterns for creating scalable and maintainable software systems.

This course will help you becoming a better software engineer by mastering the subject with the help of elaborated concepts, case studies, and a project.

Understand debugging techniques and tools for identifying and fixing software bugs efficiently.

This course will demonstrate that it is possible to use patterns in the development of C programs and how it adds benefits to C programming.

Start designing more complex systems with techniques such as design patterns, SOLID principles, and UML.

Write well-organized, user-friendly applications in MATLAB that will work correctly now and in the future.

Understand the software development lifecycle, including methodologies, best practices, and project management techniques.

Data Scientists often work with engineering teams. Learn the software engineering skills you need to bridge the gap between data science and

Use root finding methods to solve nonlinear equations.

Use MATLAB ODE solvers to numerically solve ordinary differential equations.

This course will teach you how to handle geospatial data and find the shortest possible route between coordinates by car using Python.