86 free guides for freshers and experienced engineers: roadmaps for every tech role, how top companies hire, programming and core CS basics, and resume and interview preparation.
How to become an AI engineer who builds products on top of language models: Python, APIs, prompting, retrieval, evaluation, safety and deployment.
A practical backend roadmap covering one language, databases, REST APIs, authentication, testing, caching and deployment, with projects to prove it.
A practical guide to becoming a business analyst in IT: requirements, process modelling, SQL and Excel, agile, documentation and interview preparation.
A beginner-friendly cyber security roadmap covering networking, Linux, security tools, hands-on labs, certifications and the main career paths.
Become a job-ready data analyst: the tools to learn in order, how to build a portfolio from real datasets, and how to prepare for analyst interviews.
Learn how to build the pipelines that move and prepare data: SQL, Python, warehouses, Spark, orchestration and cloud services, with projects to show it.
The maths, Python, machine learning and deployment skills you need for data science and ML engineering, in an order that works for beginners.
The skills, tools and projects for a DevOps or cloud engineering career, from Linux and networking to CI/CD, containers, Kubernetes and Terraform.
A learning path for embedded software roles: C and C++, electronics basics, microcontrollers, communication protocols, RTOS, debugging and project ideas.
Learn frontend development in the right order: web basics, JavaScript, a framework, tooling and a portfolio that gets you shortlisted.
How to become a full-stack developer without learning everything: a focused stack, the order to learn it in, and three projects that show end-to-end skill.
Choose between native Android, iOS, Flutter and React Native, then follow a clear learning path, build real apps and publish them to a store.