Learning path

Software Engineer Roadmap

The order a working engineer would teach you in: one language learned properly, the command line, version control, a database, then the data structures and algorithms every technical interview assumes, and finally code that other people can read. Free, hands-on, in your browser.

START LEARNING(it's free)

2,357,042+ codders enrolled across these courses

627 lessons528 challenges2,398 quiz questions

Beginner friendly
AI-assisted coding help
Hands-on interactive lessons
Audio narration on every lesson
Quizzes to test your knowledge
13 free certificates along the path

The software engineer roadmap, step by step

18 courses6 sections627 lessons528 challenges2,398 quiz questions

Each step is an existing Coddy course. Take them in order, or jump into the one you are missing - your progress is saved per course either way.

1
Step 1
A first language, learned properlyDedicated page
Start this stepStartVariables, control flow, functions, collections, then classes and objects, in Python. Everything after this step is written in a language, so this is the one to learn deeply rather than quickly. Prefer Java, C++ or Go? Each has a full journey on Coddy and the later steps ship in all of them.Start Dedicated page
3 sections, in order
219 lessons239 challenges1,070 questions
2
Step 2
Linux and the command lineDedicated page
Start this stepStartNavigate the filesystem, manage permissions, chain commands with pipes, read logs and write a first shell script. Servers, containers, CI pipelines and most developer tools are driven from a terminal.Start Dedicated page82 lessons68 challenges440 questions
3
Step 3
Git and version controlDedicated page
Start this stepStartCommits, branches, merges, conflicts, remotes and undoing mistakes safely. Every job, every open-source project and every take-home assignment lives in a Git repository; learning it right after the terminal means every later exercise happens the way real work does.Start Dedicated page58 lessons46 challenges370 questions
4
Step 4
SQL fundamentalsDedicated page
Start this stepStartSelect, filter, join, group and aggregate real tables. Nearly every application is a thin layer over a database, and a software engineer who cannot read a query cannot debug the product they work on.Start Dedicated page72 lessons72 challenges360 questions
5
Step 5
Data structures, built by hand
Start this stepStartStack, queue, linked list, binary tree and hash table, each implemented from scratch and then used to solve problems. This is the vocabulary of every technical interview and the reasoning behind every performance decision in real code.Start
5 courses, in order
66 lessons34 challenges
6
Step 6
Algorithms and recursive thinking
Start this stepStartRecursion first, then the classic sorts - bubble, selection, insertion, merge and quick - written and compared. You learn why an algorithm is fast, not just that it is, and see the same ideas animated in Coddy's algorithm visualizer.Start
6 courses, in order
62 lessons37 challenges158 questions
7
Step 7
Code other people can read
Start this stepStartClean code principles, an object-oriented project built end to end, and a bank of coding problems to solve without a tutorial. Readable code is the skill code review actually tests, and solving unfamiliar problems is what an interview actually measures.Start
3 courses, in order
68 lessons32 challenges

What you get

Everything you'll use to learn to code

Learn by Doing

Write real code, query databases, build websites, and master AI prompts. Our interactive lessons cover every skill modern developers need.

playground.js

Code Editor

1const greeting = "Hello, Coddy!"

2function sayHi(name) {

3 return greeting + " " + name

Test #1

Test #2

Test #3

Input

"Alex"

Output

"Hello, Coddy! Alex"

Build Your Coding Streak

Stay consistent and watch your progress grow! Track your daily coding habit, protect your streak with freeze days, and earn rewards for showing up every day.

12 days streak

Return tomorrow to keep your streak!

January 2026

Double or Nothing

Day 5 of 7

Streak Freeze

2 left

Code Anywhere, Anytime

Take your coding journey on the go! No setup, no downloads - just open and start coding. Available on iOS, Android and Web with 4.9 star ratings.

250

Variables

CONTINUE

4.9

Rating

You're Not Alone in This

Compete on global leaderboards, invite friends to earn rewards, and celebrate each other's wins. Coding is better with friends!

Challenger LeagueTop 7 advance

Alex7+ Days

2840

Jordan7+ Days

2650

Sam7+ Days

2420

Casey

2180

Morgan7+ Days

1950

Promotion zone

Every way to learn

Read, listen, test yourself, ask the AI, or look up anything you've already covered. Every lesson meets you where you are.

Intro to Variables

Audio

A variable is a named container that stores a value you can reference later in your program.

In Python, you create one by writing the name, an equals sign, then the value you want to store.

The value can change over time - reassigning the name simply points it to a new value.

1xSarah

Prove Your Skills

Earn certificates for every course you complete. Add them to your LinkedIn profile and resume to showcase your coding expertise to employers.

Certificate of Completion

This certifies thatJohn Doehas successfully completed

Python Fundamentals

DateJan 2026

Add to LinkedIn

Why follow this software engineer roadmap on Coddy

One language, deeply. Most roadmaps list six languages; a working engineer needs one they can think in. Python is that language here, and the same data-structure courses ship in twelve others if you would rather use Java, C++ or Go.
Interview-shaped practice. The data structures and algorithms steps are the material technical interviews are built from, taught by writing the stack, the linked list and the sort yourself rather than reading about them.
AI hints that read your code, not a hotline. When a test fails, Bugsy looks at what you wrote and nudges you toward the fix without handing over the answer.
A free certificate for the Python, Git, SQL and Linux courses and for most of the data-structure and algorithm courses, each verifiable at its own URL. There is no single 'software engineer certificate', because the honest credential is skills a hiring manager can test.

Frequently asked questions about becoming a software engineer

What does a software engineer actually do all day?

Reads more code than they write, changes existing systems more often than they build new ones, and spends a surprising share of the day in a terminal and a Git history. That is why this path puts Git, Linux and readable code on the same footing as the language itself: the job is mostly working inside code other people wrote.

Can I become a software engineer without a degree?

Yes, and a large share of working engineers did. What a degree signals is that you can learn a first language, reason about data structures and algorithms, and finish long projects; this path covers the first two directly and gives you certificates and a portfolio of solved problems for the third. Some employers still filter on degrees, most no longer do, and none skip the technical interview either way.

Which programming language should a software engineer learn first?

Python, for almost everyone, because it lets you learn programming ideas without fighting syntax, and every concept transfers. This path starts there. If you already know you want systems work, the same path holds with C++ or Go swapped into step one; the data structures and algorithms courses on this page are taught in thirteen languages.

How long does it take to become a software engineer?

Roughly six to twelve months of consistent work to reach the level where you can pass a junior technical interview, at about an hour a day. On this path the first language takes six to eight weeks, Git, SQL and the command line another month together, and the data structures and algorithms steps two to three months. Job-ready is when you can solve unfamiliar problems, not when you have finished a list.

Do I really need data structures and algorithms?

For interviews, yes, without exception: every technical interview at every company size draws on them. For the job, more than beginners expect: knowing when a hash table beats a list, or why a recursive solution blows the stack, is what separates code that works on the test data from code that works in production. The steps here teach them by building each one.

Is this software engineer path enough to get hired?

It is the foundation every job assumes, taught properly, plus the interview material. What it does not do is choose your specialty: web frameworks, mobile, systems or data are the next layer, and Coddy's backend and frontend paths pick up where this one ends. Add one or two projects you built without a tutorial and you have what a junior application needs.

Is this software engineering course free?

Every course on the path is free: the lessons, the in-browser editor and terminal, the AI hints and the certificates along the way. Pro removes the daily energy limit and adds unlimited AI help, and nothing on this page is locked behind it.

Other learning paths

The same courses, arranged for a different role. Progress carries over: a course finished on one path counts on every path that includes it.

All learning paths

Coddy programming languages illustration

Start the Software Engineering path for free

Start learning