Start with web and programming fundamentals, then layer databases, APIs, and deployment before moving into data, ML, and GenAI; build small, deployable projects at each stage with tests, docs, and a short demo to create a job‑ready portfolio. Stage 0: Setup and habits Stage 1: Web foundations (HTML/CSS/JS) Stage 2: Programming essentials Stage 3: Data … Read more
Mastering a small, coherent toolkit early lets you build faster, debug confidently, and collaborate like a professional; focus on tools that transfer across roles and make your projects reproducible, testable, and deployable. Version control and workflows Editors and productivity Linux, shell, and automation Containers and local environments Databases and SQL Testing and continuous integration Package … Read more
Building a strong foundation in computer science means mastering core theory, disciplined problem-solving, and hands-on engineering habits that transfer across languages, domains, and technologies. The goal is to internalize principles—abstraction, composition, complexity, and correctness—so you can learn any stack quickly and build reliable systems. Core mathematics Programming fundamentals Data structures and algorithms Computer systems Networking … Read more