A frontend developer roadmap from beginner to hireable: HTML and CSS, modern JavaScript, React, TypeScript and a live app you'd be happy to show an interviewer. A generic starting point — Kaidoro adapts it to your background, skills, target role and deadline.

APIs, databases, auth and deployment. Language-agnostic in principle, with Python examples.

A software engineer roadmap from beginner to hireable: programming fundamentals, CS basics, data structures and algorithms, git and testing, shipping a real project, and interview prep. A generic starting point — Kaidoro adapts it to your background, skills, target role and deadline.

Linux, containers, CI/CD and infrastructure as code. Assumes you can already program.

A cybersecurity analyst roadmap from beginner to hireable: networking and OS internals, how attacks work, detection and investigation, and a first certification. A generic starting point — Kaidoro adapts it to your background, skills, target role and deadline.

An AI engineer roadmap from beginner to hireable: the maths and Python you need, classical and deep machine learning, LLM applications and shipping a model behind an API. A generic starting point — Kaidoro adapts it to your background, skills, target role and deadline.

A data analyst roadmap from beginner to hireable: SQL, statistics that matter, Python for analysis, honest charts and communicating findings to non-technical people. A generic starting point — Kaidoro adapts it to your background, skills, target role and deadline.

A quant finance roadmap from beginner to hireable: probability, stochastic calculus, derivatives pricing, rigorous backtesting and quant interview prep. A generic starting point — Kaidoro adapts it to your background, skills, target role and deadline.

Go from bouncing off the abstract to reading a paper in your field with confidence, and knowing which ones are worth your time. Field-agnostic — works for CS, biology, economics or anything else.

Read the landmark deep learning papers in the order they were written, so modern architectures stop looking arbitrary. Every paper here is famous, findable and worth the time. Assumes some Python and basic linear algebra.

Write code most days without relying on motivation. Built around a minimum that survives bad days, because consistency is the only variable that matters here.

A book a month, without speed-reading tricks or a reading target you resent. Designed around the two things that actually stop people reading: choosing badly and never starting.

From no running at all to 5K without stopping, over nine weeks. Slow on purpose — nearly everyone who fails at this fails by going too fast in week two.

Eight weeks of revision for typical first-year computer science exams — data structures, algorithms, architecture, discrete maths and databases. Built on past papers and active recall rather than re-reading lecture slides.

Six weeks for a first- or second-year maths exam — calculus, linear algebra and probability. Built on doing problems, because reading worked solutions produces the illusion of understanding better than almost anything else.

Take one idea from nothing to something real people can use, in about eight weeks. Structured around the reasons side projects actually die: unbounded scope, building foundations first, and never shipping.

From nothing to holding a real conversation in Spanish, around CEFR B1. Weighted towards speaking early, because the most common way to fail at a language is to study it for two years and never say anything.

From no design background to a portfolio of three case studies that show your thinking, not just your screens. Research-led, because pretty interfaces that solve nothing are what junior portfolios are full of.

Break into product management from a technical or business background. Weighted towards evidence and prioritisation, since the job is mostly deciding what not to build.

Get your money organised and start investing sensibly, from a UK perspective. Deliberately dull — the evidence favours boring, and this is education rather than financial advice.

From never having opened a DAW to finished tracks you're willing to let people hear. Weighted heavily towards finishing, because unfinished project files are what most beginners actually accumulate.