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The Complete Backend Developer Roadmap

0h 08m video Published Jun 11, 2024 Transcribed Aug 5, 2026 P Programming with Mosh
Beginner 4 min read For: Aspiring backend developers with little to no programming experience who want a structured learning path.
AI Trust Score 70/100
⚠️ Average / Some Fluff

"Delivers a solid, actionable roadmap as promised, though it includes promotional plugs for the presenter's own resources."

AI Summary

This video provides a comprehensive roadmap for aspiring backend developers, outlining five essential skills: programming languages, version control with Git, data structures and algorithms, design patterns, and databases. The presenter offers practical advice on choosing a language, learning resources, and a timeline for becoming job-ready.

[00:01]
Choosing a Programming Language

The video discusses various programming languages (JavaScript, Python, Ruby, Java, C#, Go) and explains that the best choice depends on project requirements, team expertise, and performance needs. It recommends Python for beginners due to its simplicity, followed by Java, and advises against learning multiple languages simultaneously.

[02:20]
Free PDF Resource

The presenter offers a free supplementary PDF that breaks down specific concepts for each skill and includes project ideas. It is intended to help learners review progress, find knowledge gaps, and prepare for interviews.

[02:45]
Version Control with Git

Git is introduced as an essential tool for tracking code changes and collaboration. The presenter notes that Git and GitHub are crucial, and suggests that 1-2 weeks of practice is sufficient to get started, following the 80/20 rule.

[03:13]
Data Structures and Algorithms

The video emphasizes the importance of data structures and algorithms for backend development, especially for technical interviews at big tech companies. It recommends spending 1-2 months studying classic computer science topics to build a strong foundation.

[04:03]
Design Patterns

Design patterns are presented as proven solutions to common software design problems. The video mentions the 23 classic patterns from the 'Gang of Four' book and suggests learning them to understand frameworks like Spring, Django, and ASP.NET Core better.

[05:11]
Understanding Databases

The video distinguishes between relational (SQL) and non-relational (NoSQL) databases. It recommends learning MySQL for relational and MongoDB for NoSQL, with about one month each to gain practical knowledge.

[06:52]
Web Frameworks

The presenter lists popular web frameworks for each language (Django, Spring Boot, Express.js, ASP.NET Core, Ruby on Rails, Gin) and explains that they provide tools for building APIs. With a solid background in programming and databases, one can learn a framework in about 2 months.

[08:01]
Timeline to Job Readiness

The video concludes that following this roadmap with a few hours of daily study can prepare someone for entry-level backend developer jobs in about 12 months.

The video provides a structured, step-by-step roadmap for becoming a backend developer, emphasizing the importance of mastering core skills sequentially. It offers practical advice on language selection, resource recommendations, and a realistic timeline for entering the job market.

Mentioned in this Video

Tutorial Checklist

1 00:01 Choose a programming language based on project needs and job market; for beginners, Python is recommended.
2 02:45 Learn version control with Git and GitHub; practice for 1-2 weeks.
3 03:13 Study data structures and algorithms for 1-2 months to build a strong foundation.
4 04:03 Learn design patterns (e.g., from the Gang of Four book) to understand frameworks better.
5 05:11 Learn databases: start with MySQL (relational) and MongoDB (NoSQL), each about one month.
6 06:52 Learn a web framework for your chosen language (e.g., Django, Spring Boot, Express.js) to build APIs.

Study Flashcards (6)

Which programming language is recommended for beginners and why?

easy Click to reveal answer

Python is recommended because it has a simple, readable syntax that is great for beginners.

01:30

What is the 80/20 rule in the context of Git?

medium Click to reveal answer

80% of the time you use 20% of Git's features.

03:00

How many classic design patterns were documented in the Gang of Four book?

easy Click to reveal answer

23 classic design patterns.

04:17

What are the two main classes of database engines?

easy Click to reveal answer

Relational (SQL) and non-relational (NoSQL) databases.

05:11

Which database engine is recommended for relational databases and why?

medium Click to reveal answer

MySQL because it is the most popular database engine.

06:06

What is the recommended timeline to become job-ready as a backend developer?

medium Click to reveal answer

About 12 months if you dedicate a few hours every day.

08:01

💡 Key Takeaways

💡

Avoid learning multiple languages

The presenter warns against a common mistake of learning many languages, emphasizing that learning the ecosystem is more important.

01:04
💡

Self-taught programmers often skip fundamentals

The video highlights a common gap in self-taught learning: skipping data structures and algorithms, which are critical for interviews.

03:13
💡

Design patterns are often missed

The presenter points out that many self-taught developers miss design patterns, which are essential for understanding frameworks.

04:03
📊

Relational vs NoSQL databases

The video provides a clear distinction between relational and NoSQL databases, helping beginners choose the right one.

05:11
🔧

12-month roadmap

The presenter gives a concrete timeline for becoming job-ready, which is motivating and realistic.

08:01

[00:01] five essential skills let's go over them one by development is to pick up a programming language here we have a few options like

[00:13] language here we have a few options like JavaScript python Ruby Java C and go just to name a few now which one is the best well it's almost impossible to pick one language as the best or the ultimate language because the choice of language

[00:25] depends on various factors like project requirements team expertise and performance needs for example JavaScript is used for full stack development because we can use it on both the front end and the back end in contrast Python

[00:39] and Ruby are often used for rapid prototyping and fast development Cycles Java and C are often used in building large scale Enterprise grade applications they're heavily used in large organizations and government

[00:52] systems and go is used for performance critical and concurrent applications now a common mistake I see among my students is that they try to learn learn many of these languages hoping that this would increase their job opportunities but it

[01:04] doesn't work that way because learning a language is only the first step you also need to learn the ecosystem of tools and libraries for that language to land a job so if you're starting out just stick to one language whichever you like but

[01:18] also do a bit of research and see how many job opportunities are available for that language where you live generally speaking there are often more job opportunities for python Java and JavaScript but again I want want you to

[01:30] do your own research now assuming that there are more job opportunities for these three languages in your town and you're not sure what language to start with I would recommend python because it's the easiest and has a simple

[01:42] readable syntax that's great for beginners my second choice is Java because it's a solid language and is often taught to computer science and software engineering students JavaScript has a ton of weird parts and baggage

[01:54] from the past because it wasn't originally built for building backends we can certainly use it to build great backends and I've done that many times but I still prefer Java or C to JavaScript for building backends so

[02:06] don't overthink this pick a language and dedicate 2 months to learning it if you spend 3 to 5 hours every day studying and coding you can learn any of these languages in about 2 months now to help you on this journey I've created a free

[02:20] supplementary PDF that breaks down the specific Concepts you need to learn for each skill it also includes several project ideas to help you practice and apply what you have learned it's a great resource to review your progress find

[02:33] gaps in your knowledge and prepare for interviews you can find the link in the description Box by the way I have a bunch of tutorials on this channel and complete courses on my website if you're looking for structured learning again

[02:45] links are in the description box the next thing you need to learn is a version control system like git git is not a programming language it's a tool that we use to track changes to our code and collaborate with others git and

[02:57] GitHub which is a platform that hosts git repositories are essential for every you don't need to know them all for everyday use think of it like the 8020 rule 80% of the time you use 20% of gits features so 1 to two weeks of practice

[03:13] is enough to get up and running now building backends often involves working with data structures and implementing complex algorithms this is where a lot of self-taught programmers struggle because they try to skip ahead and learn

[03:26] more and more languages and tools without learning the fun alss of computer science data structures and algorithms are critical subjects taught to computer science students and they're often covered in Tech interviews

[03:38] especially at Big tech companies like apple Google and Microsoft while you can someone who has had the privilege of teaching millions of people I highly recommend you not overlook this step

[03:51] otherwise you're going to feel the pain later in your career so spend 1 to two months studying classic computer science data structures and algorithms this will give you a strong foundation in programming and problem solving the next

[04:03] thing I would recommend to learn which a lot of self-taught people Miss is design patterns design patterns are proven solutions to Common software design problems there are 23 classic design patterns that were documented in this

[04:17] classic book design patterns by the gang of four many of these patterns are used in web Frameworks particularly springing Django and as.net core which we'll talk about in a few minutes so learning these design patterns will give you a deeper

[04:31] understanding of objectoriented design principles and how these Frameworks work under the hood now I got to tell you this book is pretty old and it's written in C++ honestly it's a difficult read because many of the examples in the book

[04:44] are dry and not quite relevant to Modern software that's why I've created a very Hands-On and pragmatic course on this topic where I use Java and modern examples that you find in applications we use every day so you can see how

[04:57] these design patterns are used to solve problem problems in modern applications different resource I believe if you have a pretty solid understanding of design patterns in about 2 months the

[05:11] next thing you need to learn is understanding and designing databases there are two classes of database engines relational and non-relational also called nosql databases in relational databases data is stored in

[05:23] tables with rows and columns that are related that's why we call them relational databases these databases are best for applications that require complex queries and transactions like banking systems and e-commerce

[05:36] applications especially any application that needs complex reporting examples of relational database engines are MySQL postgress SQL server and Oracle these are different products that despite some differences work more or less the same

[05:51] way with all these products you retrieve or store data using a language called SQL some people call it SQL which is short for structured query language it's English now you don't need to learn all

[06:06] projects and teams use different database engines when you're starting out you just need to learn one of them and you can easily pick up others on the job out of these I would recommend MySQL because it's the most popular database

[06:20] database engine that you like one month is enough to learn the essence of SQL and working with a relational database now in no SQL databases data is stored without a predefined table structure so these databases are more flexible

[06:36] require flexible data models and real-time analytics examples include real-time analytics examples include mongodb couch DB and Cassandra again you don't have to learn all of them out of these I would recommend mongodb

[06:52] because it's the most popular and you can learn it in about a month you're not going to be an expert but you're going to have a decent practical knowledge web framework which depends on your programming language for python you

[07:05] should learn D Jango for Java you should learn spring boot for JavaScript you should learn express.js for C you should learn as.net core for Ruby you should learn Ruby on Rails and for go you should learn J all these Frameworks more

[07:19] or less do the same thing they provide a bunch of tools for building backends handling tasks like routing request and response handling database interaction and Security in a nutshell with these Frameworks we can build and publish

[07:34] application programming interfaces or apis these apis are essentially communication points between front-ends and backends allowing frontends to retrieve or post data to backends if you have a solid background in a programming

[07:47] language and databases you can learn any of these Frameworks in about 2 months so if you dedicate a few hours every day and follow this road map you'll have the necessary knowledge to apply for entry level backend Developer jobs in about 12

[08:01] months now if you want to take your skills to the next level there are of learn I've included them in the PDF I mentioned earlier again the link is in questions please let me know in the comments below and I'll do my best to

[08:16] answer you right here or in my future videos If you enjoyed this video please give it a like And subscribe for more useful content

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