Skill Course
Software Engineering Fundamentals
Build maintainable software with the engineering practices production AI systems depend on.
Learning objectives
Use Git and a professional development workflow
Apply modular design and clean-code principles
Write unit and integration tests
Debug failures systematically
Document and review software changes
Course coverage
Computer systems, operating systems, processes, files, memory and the command line
Internet fundamentals, networking basics, DNS, TCP/IP and HTTP/HTTPS
How modern software works: client-server architecture, frontend, backend, databases and APIs
Git, GitHub, version control, branching, pull requests and collaborative development
Software engineering principles: modularity, abstraction, clean code, SOLID and design-pattern overview
Software development lifecycle, Agile development, testing, debugging, logging and documentation
Security fundamentals: authentication, authorization, secrets and common application risks
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Develop reliable Python programs for backend services and AI applications.