Free Developer Roadmaps & Skill Maps for 2027.

No paywalls, no premium tiers, no locked chapters — and no boring tutorials either. Every roadmap, skill map, course, and guide on this site stays free and engaging, because learning shouldn't cost money or put you to sleep.

The top 10 skills and domains set to boom before 2030.

AI, data, cloud and security lead the list. See which roadmaps made the cut, why they matter, and which bets are riskier.

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Structured roadmaps for every tech role, skill and AI path.

Skip the scattered tutorials. Follow step-by-step learning paths for Web Development, DevOps, Data Science, AI, and Cloud — built to take you from beginner to job-ready.

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Individual skill maps for the tools you actually need next.

Drill into a single language, framework, or tool with a focused map of what to learn and in what order — no need to commit to a whole career track first.

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The Artificial Intelligence category: models, tools and prompts worth knowing.

Track the models, coding assistants, and workflows reshaping development — curated so you spend less time filtering hype from what's actually useful.

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Field notes from the blog on tech, careers, and AI.

Deep dives on new releases, career and job-hunting advice, security news, and the bigger questions AI keeps raising — updated regularly.

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Browse all courses across every domain and skill.

One page, every learning path — domains, skills, and AI tracks together, so you can find exactly what to learn next without hopping between sections.

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Categories

Explore every roadmap by category. Use the arrows or drag to browse.

Career Courses

Full career roadmaps — sequenced start to finish for every tech role.

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Skill Courses

Focused guides for a single language, framework, or tool.

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Podcasts

Listen and learn on the go.

Podcast episode 1 cover

Bill Gates says to prepare for 20 years of tumultuous AI disruption

My guest today is Bill Gates, co-founder and former CEO of Microsoft and chairman of the Gates Foundation. You may have noticed Bill in the news more lately — he’s been on something of a tour for the past few months talking about AI risk, and how crucial it is that we start taking this seriously. So I was excited to sit down with him and really dig into this subject. I came with many questions, about AI policy, the technical aspects of alignment, and what it means for future generations that we’re building something this disruptive and potentially dangerous.

Decoder with Nilay Patel and The Verge 1h 11min
Podcast episode 2 cover

What Senior Engineers Are Actually Doing About AI

Demetri Spanos has spent decades at the frontier of AI and machine learning, and he's watched it take over the entire industry. In this conversation with Steve Huynh, he breaks down what junior engineers should actually be focused on in a world where the advice keeps changing, and why thinking you've found a stable AI workflow is the biggest mistake you can make right now.

A Life Engineered (Steve Huynh) 1h 24min
Podcast episode 3 cover

How to Use AI to Make Money, Save Time, and Be More Productive

What if the most powerful tool for saving time, making money, and transforming your life was already right in front of you? And yet you’re most likely using it incorrectly, or not using it at all. That tool is AI – artificial intelligence. It seems like everybody is talking about AI everywhere you turn. You’re already living with it every single day, whether you notice it or not, so you might as well be the one in charge of how you use it. That’s why Mel went looking for the right expert to show you, step by step, how to use AI to benefit your life. Today you’ll hear from Allie K. Miller, who Mel calls “The AI Whisperer” because she advises some of the world’s leading brands on AI. Allie is the most-followed AI voice on LinkedIn and one of TIME Magazine’s 100 Most Influential People in AI. She launched the first multimodal AI team at IBM and was the Global Head of Machine Learning for Startups and Venture Capital at Amazon Web Services. She isn’t here to scare you about AI. She’s here to show you how to use it in ways that can improve your life, starting today. Allie breaks down how AI actually works, what it can do for your day-to-day life, and how you can use it to make your days better and easier. You don’t need to be a coder or a tech person to follow along. Mel is right there with you as a beginner, and Allie explains it all clearly, with real-life examples. If you’ve ever felt behind on technology or overwhelmed by the hype, this episode will leave you feeling empowered. It’s time for a real, human conversation about AI, one that gives you the truth, the confidence, and the step-by-step moves to take control of your time, your money, and your life.

Mel Robbins 1h 14min
Podcast episode 4 cover

Andrew Ng: The Biggest Opportunities in AI Aren't Where You Think

Andrew Ng is Coursera's co-founder, built the founding Google Brain team, and has taught roughly 8 million people AI. Now he argues the AI fear filling headlines this year is mostly wrong. A handful of AI companies benefit from that fear, he says. He runs the math on "AI could automate 30–40% of your job" and shows what that means for the other 60%. He tells anxious college students the university system is already two years behind. He says AI models are terrible for learning. That's despite building his career on AI education companies. His bar for hiring marketers, recruiters, and ops people in 2026-27: can you build with AI, not just use it.

Silicon Valley Girl (Marina Mogilko) 37min
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Everything in one place

Browse all courses — over 100 courses and 1000 modules on one page.

Domains, skills, and AI paths together, so you can find exactly what to learn next without hopping between sections.

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Tools

Practical editors to help you land the job and get work done

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Latest Articles

Fresh field notes from the blog on tech, careers, and AI.

The 10 Skills and Domains Most Likely to Boom Before 2030

The 10 Skills and Domains Most Likely to Boom Before 2030

From AI engineering to cloud security, here are the 10 skills and career domains most likely to be in demand before 2030, and why.

Career & Learning
Is the AI Boom Quietly Becoming a Bubble?

Is the AI Boom Quietly Becoming a Bubble?

The Bank for International Settlements is warning that a trillion-dollar AI spending spree could end the same way canals, railways, and the dotcom boom did. Here's what that actually means.

General
Time to Teach AI Morals?

Time to Teach AI Morals?

AI systems already carry values — they just weren't chosen by you. A grounded look at alignment, who decides what's ethical, and what happens when they get it wrong.

Ethics & Research
How AI Can Actually Make You a Better Developer

How AI Can Actually Make You a Better Developer

Specific techniques, tools, and websites that help developers grow faster using AI — without losing the ability to think for themselves.

Development
Gemini 3.1 Pro: The AI That's Starting to Actually Think

Gemini 3.1 Pro: The AI That's Starting to Actually Think

Google's latest model doesn't just answer faster — it reasons differently. A clear-eyed look at what changed, what it means, and why developers should pay attention.

AI & Tools
Claude AI Creator Secures $30 Billion in Record Funding, Valuation Soars to $380 Billion

Claude AI Creator Secures $30 Billion in Record Funding, Valuation Soars to $380 Billion

Anthropic closes massive $30B funding round led by GIC and Coatue, pushing valuation to $380B. Annual revenue hits $14B as Claude Code drives enterprise adoption. IPO expected in second half of 2026.

AI & Tools
AI Recommends Non-Existent Software Versions 28% of the Time, Security Report Finds

AI Recommends Non-Existent Software Versions 28% of the Time, Security Report Finds

Sonatype's 2026 report reveals AI tools hallucinate nearly 28% of package upgrade recommendations, pointing developers to non-existent versions. Analysis of 37,000 AI-driven suggestions exposes risks in automated development.

Security & Open Source
Apple Hits iPhone Sales Records as Mac Numbers Slide

Apple Hits iPhone Sales Records as Mac Numbers Slide

Apple reports record-breaking iPhone sales reaching $144 billion in Q4 2024, but Mac sales drop 7% and wearables decline 3%. Analysis of Tim Cook's supply constraints and Google Gemini AI partnership.

Industry & Economy
Top 10 Cloud Development Platforms 2025: Complete Comparison & The Best

Top 10 Cloud Development Platforms 2025: Complete Comparison & The Best

Complete comparison of AWS, Azure, GCP, GitHub Codespaces, GitPod and 5 more platforms. Scored across 7 features with sortable table. Discover which platform will dominate 2026.

Development
TypeScript 7 Native: The 10x Faster Compiler That's Changing Everything

TypeScript 7 Native: The 10x Faster Compiler That's Changing Everything

Microsoft's complete rewrite of TypeScript in Go promises 10x faster builds, parallel compilation, and dramatically reduced memory usage. Here's what it means for developers.

Development
Hacktoberfest: Your Journey from Student to Developer

Hacktoberfest: Your Journey from Student to Developer

The month-long celebration of open source that transforms beginners into contributors. Learn what Hacktoberfest is, how to participate, and why it matters for your developer journey.

Career & Learning
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What is Skill Maps?

Every roadmap on the site is built the same way, from first look to what to learn next

What is it?

What is Skill Maps?

Skill Maps is a free, structured way to learn tech skills online — a visual, step-by-step roadmap that breaks down everything you need to learn to get good at a specific skill, tool, or career path. Instead of guessing which tutorial to watch next or bouncing between a dozen half-finished courses, each skill map lays topics out in the order you actually need them: fundamentals first, then the tools and patterns professionals use day to day, then the deeper concepts that separate a beginner from someone who's job-ready. Every roadmap on the site — whether it's a full career path like DevOps or Frontend, or a single skill like Linux, Docker, or Python — is built the same way, kept free, and updated as tools and best practices change.

01

Overview

Every roadmap page opens with a short, plain-language explanation of what the topic is, why it matters, and who typically needs it — no jargon, no assumed background, just enough to know whether it's the right page before committing any time. This section also places the skill in context: what it connects to, what it's commonly confused with, and what usually comes before and after it in a typical learning path, so you always know how the piece you're studying fits into the bigger picture.

02

Quick Facts

A compact reference card sits alongside the overview — key details like creator, initial release date, license, and category — plus links out to official documentation, the project's homepage, and other primary sources for anyone who wants to go deeper than the roadmap itself. It's a fast way to get factual grounding on a technology or skill without having to search around for it separately, and it's built to adapt: broad topics like a career domain show different facts than a single, specific tool or language.

03

Getting Started

Before the roadmap itself, we call out any prerequisites — other skills or tools worth some familiarity with first — along with practical first steps, like what to install or set up before you begin. This exists to prevent a common frustration: landing on step one only to find it assumes knowledge from somewhere else entirely. Where it matters, we also flag early decisions, like which distribution, framework, or environment to pick, so those choices don't stall your progress once the roadmap gets underway.

04

The Roadmap

The core of every page: a structured, ordered learning path split into Beginner, Intermediate, and Expert levels, corresponding roughly to junior, mid-level, and senior competency. Each level breaks down into a sequence of steps meant to be worked through in order, with every step explaining a specific concept and how it connects to the ones before and after it. Every step also includes a short quiz to check your understanding before moving on, so gaps get caught early instead of compounding two or three steps later.

05

Related Roadmaps

Every page closes by linking to adjacent skills, tools, and domains worth exploring next — connections that reflect how topics relate in real-world practice, not just alphabetical or categorical proximity. Some links point sideways, to tools commonly used alongside the current topic; others point up to the broader domain it feeds into, or down into a narrower sub-topic worth its own deep dive. It's what turns Skill Maps into an actual map instead of a shelf of disconnected pages, so one roadmap naturally leads into the next.

Frequently Asked Questions

Common questions about Skill Maps and how to get started.

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