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DevOps Engineer Path

Master DevOps Engineering from start to finish with Python, Docker, AWS, Kubernetes and more

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 822,231 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

Recommend it for people who want to start their journey in programing . But it suitable for experienced with not python knowledge as well. For me after C and C++ it was always painful to start python, but with gamified system it was a pleasure.

(5/5)
Artem Kuchmambetov profile image

Artem Kuchmambetov

Finland

Learn to Code in Python

As I'm expanding my stack to Python, this course was instrumental in consolidating my foundational knowledge and understanding the language's nuances.

(5/5)
Maksymilian Ufa profile image

Maksymilian Ufa

Poland

Learn to Code in Python

Very good and enjoyable learning exprience, would highly recommend.

(5/5)
s jordan-franks profile image

s jordan-franks

United Kingdom

Learn to Code in Python

Python is a varied language, but this course gives you the built-in basics to understand how to get up and running! Well thought out progression that increases in difficulty, all while being necessary content. No extra fluff here!

(5/5)
Curtis Allen Jester profile image

Curtis Allen Jester

Athens, GA

Learn to Code in Python

Awesome stuff, learning this way helps retaining the information at maximum levels

(5/5)
Miljan Jevremović profile image

Miljan Jevremović

Serbia

Learn to Code in Python

Fantastic way to learn SQL.

(5/5)
Yanko Chergov profile image

Yanko Chergov

Sofia, Bulgaria

Learn SQL

Excellent course! Taught me Python 3, simple as that.

(5/5)
Chris Jackson profile image

Chris Jackson

United States

Learn to Code in Python

Great tutorial. My only comment is to add more on built in functions for dictionaries and lists

(5/5)
Prabhjoat Singh profile image

Prabhjoat Singh

United Kingdom

Learn to Code in Python

Very well thought out course that was a great beginning point for anyone interested in learning Python. It has a good mix of easy and difficult tasks throughout so you don't feel discouraged or overconfident. Having Boots available to assist is a huge benefit. The amount of assistance provided is really up to you.

(5/5)
Dizz05  profile image

Dizz05

United States

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.