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DevOps Engineer Path

Learn DevOps by building through Linux, Go, Docker, AWS, CI/CD, observability, and Kubernetes.

Course List

Packed with 14 courses and 4 projects this path takes most beginners about 12 months to complete

DevOps engineers are the bridge between software development and IT operations, building and deploying reliable systems at scale. In this complete learning path you'll start with programming and command-line fundamentals, then move into platform engineering skills like cloud computing, observability, containers, CI/CD, Docker and Kubernetes.

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1. Learn to Code in Python

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2. Learn Linux

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Guided Project

3. Build a Bookbot

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4. Learn Git

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5. Learn Object Oriented Programming

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Guided Project

6. Build Asteroids

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Portfolio Project

7. Personal Project 1

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8. Learn Go

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9. Learn HTTP Clients

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10. Learn SQL

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11. Learn HTTP Servers

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12. Learn Docker

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13. Learn Logging and Observability

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14. Learn AWS

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15. Learn CI/CD

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16. Learn Kubernetes

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Portfolio Project

17. Capstone Project

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18. Learn How to Find a Programming Job

Mediocrity doesn't cut it anymore

The only way to become a great developer is to write a lot of code

Avoid tutorial hell

by writing a ton of code

Stay motivated with

a game-like curriculum

Build portfolio projects

to prove your skills

Delve deeper

into foundational concepts

Learn flexibly online

without interrupting your life

For 1% the price of college

to minimize your financial risk

Join 1,201,282 students learning modern backend skills

Connect directly with them and others in our flourishing online community

33.7M

lessons completed

208K

courses completed

7.4B

xp earned

This course was a lot of fun. It was very informative and it definitely helped me get back into the swing of things in no time at all!

(5/5)
Dan Flail profile image

Dan Flail

United States

Learn to Code in Python

This course is structured very well, and anytime I felt lost, I had resources to use immediately within my grasp. The reward system challenged me to dig for the answer before turning to AI.

(5/5)
Courtney Edwards profile image

Courtney Edwards

United States

Learn to Code in Python

Really great and fun course if you're looking to start out.

(4/5)
Michael Van Athen profile image

Michael Van Athen

United States

Learn to Code in Python

It's a good course and they dont hold your hand all the time. Support is there when you get stuck, but if you slow down and think through the problem, its pretty easy.

(5/5)
Daniel King profile image

Daniel King

United States

Learn to Code in Python

Great course, easy to understand, boots is very helpful in breaking down tough concepts. Excited to complete more courses!

(5/5)
Bubba gubba profile image

Bubba gubba

United Arab Emirates

Learn to Code in Python

As a professional software engineer taking this course to learn Python for the first time, this was such a fun and engaging way to learn. I love the examples and the fact that you read, learn, implement. Definitely one of the best coding tutorials I have done.

(5/5)
Carl Meyer profile image

Carl Meyer

Brighton, UK

Learn to Code in Python

If you HATE Excel, you'll LOVE SQL. Microsoft HATES THIS ONE SIMPLE TRICK

(5/5)
Luke Smith profile image

Luke Smith

United States

Learn SQL

Very clearly written and helpful, boots really helped wrap my head around the more complicated concepts like dictionaries inside of lists.

(5/5)
Paul Bloms profile image

Paul Bloms

United States

Learn to Code in Python

This course about Python is as Pythonic as it needs to be; simply lovely.

(5/5)
DarrenS.  profile image

DarrenS.

Malaysia

Learn to Code in Python

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Frequently asked Questions

Got questions? We've got answers

Yep. You can create an account for free and fully demo the early chapters of the path. Once you hit the membership gate, you can still read the remaining lessons in content-only mode until you're ready to upgrade.