00:00 - 00:04

to become a backend developer there are

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five essential skills let's go over them

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one by

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one the first step to learning backend

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development is to pick up a programming

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language here we have a few options like

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JavaScript python Ruby Java C and go

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just to name a few now which one is the

00:19 - 00:23

best well it's almost impossible to pick

00:21 - 00:25

one language as the best or the ultimate

00:23 - 00:28

language because the choice of language

00:25 - 00:30

depends on various factors like project

00:28 - 00:32

requirements team expertise and

00:30 - 00:34

performance needs for example JavaScript

00:32 - 00:36

is used for full stack development

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because we can use it on both the front

00:36 - 00:41

end and the back end in contrast Python

00:39 - 00:44

and Ruby are often used for rapid

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prototyping and fast development Cycles

00:44 - 00:48

Java and C are often used in building

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large scale Enterprise grade

00:48 - 00:52

applications they're heavily used in

00:50 - 00:54

large organizations and government

00:52 - 00:56

systems and go is used for performance

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critical and concurrent applications now

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a common mistake I see among my students

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is that they try to learn learn many of

01:00 - 01:04

these languages hoping that this would

01:02 - 01:06

increase their job opportunities but it

01:04 - 01:08

doesn't work that way because learning a

01:06 - 01:11

language is only the first step you also

01:08 - 01:13

need to learn the ecosystem of tools and

01:11 - 01:15

libraries for that language to land a

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job so if you're starting out just stick

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to one language whichever you like but

01:18 - 01:22

also do a bit of research and see how

01:20 - 01:24

many job opportunities are available for

01:22 - 01:26

that language where you live generally

01:24 - 01:28

speaking there are often more job

01:26 - 01:30

opportunities for python Java and

01:28 - 01:32

JavaScript but again I want want you to

01:30 - 01:34

do your own research now assuming that

01:32 - 01:36

there are more job opportunities for

01:34 - 01:38

these three languages in your town and

01:36 - 01:40

you're not sure what language to start

01:38 - 01:42

with I would recommend python because

01:40 - 01:44

it's the easiest and has a simple

01:42 - 01:46

readable syntax that's great for

01:44 - 01:48

beginners my second choice is Java

01:46 - 01:50

because it's a solid language and is

01:48 - 01:52

often taught to computer science and

01:50 - 01:54

software engineering students JavaScript

01:52 - 01:56

has a ton of weird parts and baggage

01:54 - 01:58

from the past because it wasn't

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originally built for building backends

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we can certainly use it to build great

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backends and I've done that many times

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but I still prefer Java or C to

02:04 - 02:08

JavaScript for building backends so

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don't overthink this pick a language and

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dedicate 2 months to learning it if you

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spend 3 to 5 hours every day studying

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and coding you can learn any of these

02:15 - 02:20

languages in about 2 months now to help

02:18 - 02:23

you on this journey I've created a free

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supplementary PDF that breaks down the

02:23 - 02:27

specific Concepts you need to learn for

02:25 - 02:29

each skill it also includes several

02:27 - 02:31

project ideas to help you practice and

02:29 - 02:33

apply what you have learned it's a great

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resource to review your progress find

02:33 - 02:37

gaps in your knowledge and prepare for

02:35 - 02:39

interviews you can find the link in the

02:37 - 02:41

description Box by the way I have a

02:39 - 02:43

bunch of tutorials on this channel and

02:41 - 02:45

complete courses on my website if you're

02:43 - 02:47

looking for structured learning again

02:45 - 02:49

links are in the description box the

02:47 - 02:51

next thing you need to learn is a

02:49 - 02:53

version control system like git git is

02:51 - 02:55

not a programming language it's a tool

02:53 - 02:57

that we use to track changes to our code

02:55 - 02:59

and collaborate with others git and

02:57 - 03:02

GitHub which is a platform that hosts

02:59 - 03:04

git repositories are essential for every

03:02 - 03:05

developer git has a ton of features but

03:04 - 03:08

you don't need to know them all for

03:05 - 03:11

everyday use think of it like the 8020

03:08 - 03:13

rule 80% of the time you use 20% of gits

03:11 - 03:15

features so 1 to two weeks of practice

03:13 - 03:17

is enough to get up and running now

03:15 - 03:20

building backends often involves working

03:17 - 03:22

with data structures and implementing

03:20 - 03:24

complex algorithms this is where a lot

03:22 - 03:26

of self-taught programmers struggle

03:24 - 03:28

because they try to skip ahead and learn

03:26 - 03:30

more and more languages and tools

03:28 - 03:32

without learning the fun alss of

03:30 - 03:34

computer science data structures and

03:32 - 03:37

algorithms are critical subjects taught

03:34 - 03:38

to computer science students and they're

03:37 - 03:40

often covered in Tech interviews

03:38 - 03:43

especially at Big tech companies like

03:40 - 03:45

apple Google and Microsoft while you can

03:43 - 03:47

skip this step and go to the next as

03:45 - 03:49

someone who has had the privilege of

03:47 - 03:51

teaching millions of people I highly

03:49 - 03:52

recommend you not overlook this step

03:51 - 03:55

otherwise you're going to feel the pain

03:52 - 03:57

later in your career so spend 1 to two

03:55 - 03:59

months studying classic computer science

03:57 - 04:01

data structures and algorithms this will

03:59 - 04:03

give you a strong foundation in

04:01 - 04:05

programming and problem solving the next

04:03 - 04:08

thing I would recommend to learn which a

04:05 - 04:10

lot of self-taught people Miss is design

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patterns design patterns are proven

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solutions to Common software design

04:12 - 04:17

problems there are 23 classic design

04:15 - 04:19

patterns that were documented in this

04:17 - 04:21

classic book design patterns by the gang

04:19 - 04:23

of four many of these patterns are used

04:21 - 04:26

in web Frameworks particularly springing

04:23 - 04:28

Django and as.net core which we'll talk

04:26 - 04:31

about in a few minutes so learning these

04:28 - 04:33

design patterns will give you a deeper

04:31 - 04:35

understanding of objectoriented design

04:33 - 04:37

principles and how these Frameworks work

04:35 - 04:39

under the hood now I got to tell you

04:37 - 04:42

this book is pretty old and it's written

04:39 - 04:44

in C++ honestly it's a difficult read

04:42 - 04:46

because many of the examples in the book

04:44 - 04:49

are dry and not quite relevant to Modern

04:46 - 04:51

software that's why I've created a very

04:49 - 04:53

Hands-On and pragmatic course on this

04:51 - 04:55

topic where I use Java and modern

04:53 - 04:57

examples that you find in applications

04:55 - 04:59

we use every day so you can see how

04:57 - 05:01

these design patterns are used to solve

04:59 - 05:03

problem problems in modern applications

05:01 - 05:05

whether you want to take my course or a

05:03 - 05:06

different resource I believe if you

05:05 - 05:08

dedicate a few hours every day you can

05:06 - 05:11

have a pretty solid understanding of

05:08 - 05:12

design patterns in about 2 months the

05:11 - 05:15

next thing you need to learn is

05:12 - 05:16

understanding and designing databases

05:15 - 05:19

there are two classes of database

05:16 - 05:21

engines relational and non-relational

05:19 - 05:23

also called nosql databases in

05:21 - 05:26

relational databases data is stored in

05:23 - 05:28

tables with rows and columns that are

05:26 - 05:30

related that's why we call them

05:28 - 05:32

relational databases these databases are

05:30 - 05:35

best for applications that require

05:32 - 05:36

complex queries and transactions like

05:35 - 05:39

banking systems and e-commerce

05:36 - 05:42

applications especially any application

05:39 - 05:44

that needs complex reporting examples of

05:42 - 05:47

relational database engines are MySQL

05:44 - 05:49

postgress SQL server and Oracle these

05:47 - 05:51

are different products that despite some

05:49 - 05:54

differences work more or less the same

05:51 - 05:56

way with all these products you retrieve

05:54 - 05:59

or store data using a language called

05:56 - 06:02

SQL some people call it SQL which is

05:59 - 06:04

short for structured query language it's

06:02 - 06:06

a simple language that looks like plain

06:04 - 06:08

English now you don't need to learn all

06:06 - 06:09

these database engines because different

06:08 - 06:11

projects and teams use different

06:09 - 06:13

database engines when you're starting

06:11 - 06:15

out you just need to learn one of them

06:13 - 06:18

and you can easily pick up others on the

06:15 - 06:20

job out of these I would recommend MySQL

06:18 - 06:21

because it's the most popular database

06:20 - 06:23

engine but you can pick any other

06:21 - 06:26

database engine that you like one month

06:23 - 06:28

is enough to learn the essence of SQL

06:26 - 06:31

and working with a relational database

06:28 - 06:34

now in no SQL databases data is stored

06:31 - 06:36

without a predefined table structure so

06:34 - 06:37

these databases are more flexible

06:36 - 06:39

they're best for applications that

06:37 - 06:42

require flexible data models and

06:39 - 06:46

real-time analytics examples include

06:42 - 06:48

mongodb couch DB and Cassandra again

06:46 - 06:49

these are several products out there and

06:48 - 06:52

you don't have to learn all of them out

06:49 - 06:54

of these I would recommend mongodb

06:52 - 06:56

because it's the most popular and you

06:54 - 06:57

can learn it in about a month you're not

06:56 - 07:00

going to be an expert but you're going

06:57 - 07:01

to have a decent practical knowledge

07:00 - 07:03

the next thing you need to learn is a

07:01 - 07:05

web framework which depends on your

07:03 - 07:07

programming language for python you

07:05 - 07:09

should learn D Jango for Java you should

07:07 - 07:12

learn spring boot for JavaScript you

07:09 - 07:14

should learn express.js for C you should

07:12 - 07:17

learn as.net core for Ruby you should

07:14 - 07:19

learn Ruby on Rails and for go you

07:17 - 07:22

should learn J all these Frameworks more

07:19 - 07:24

or less do the same thing they provide a

07:22 - 07:27

bunch of tools for building backends

07:24 - 07:29

handling tasks like routing request and

07:27 - 07:31

response handling database interaction

07:29 - 07:34

and Security in a nutshell with these

07:31 - 07:36

Frameworks we can build and publish

07:34 - 07:39

application programming interfaces or

07:36 - 07:41

apis these apis are essentially

07:39 - 07:43

communication points between front-ends

07:41 - 07:46

and backends allowing frontends to

07:43 - 07:47

retrieve or post data to backends if you

07:46 - 07:50

have a solid background in a programming

07:47 - 07:52

language and databases you can learn any

07:50 - 07:54

of these Frameworks in about 2 months so

07:52 - 07:56

if you dedicate a few hours every day

07:54 - 07:59

and follow this road map you'll have the

07:56 - 08:01

necessary knowledge to apply for entry

07:59 - 08:03

level backend Developer jobs in about 12

08:01 - 08:05

months now if you want to take your

08:03 - 08:06

skills to the next level there are of

08:05 - 08:08

course additional things you should

08:06 - 08:10

learn I've included them in the PDF I

08:08 - 08:12

mentioned earlier again the link is in

08:10 - 08:13

the description if you have any

08:12 - 08:16

questions please let me know in the

08:13 - 08:18

comments below and I'll do my best to

08:16 - 08:20

answer you right here or in my future

08:18 - 08:21

videos If you enjoyed this video please

08:20 - 08:25

give it a like And subscribe for more

08:21 - 08:25

useful content

Essential Skills to Become a Backend Developer: A Comprehensive Guide

In the ever-evolving tech landscape, mastering backend development is crucial for aspiring developers. This article delineates the five essential skills you need to cultivate to thrive as a backend developer. By focusing on programming languages, version control systems, data structures, design patterns, and frameworks, you will be well-equipped to tackle the challenges of backend development and open up new opportunities in this dynamic field.

1. Choose Your Programming Language Wisely

The foundation of backend development lies in selecting the right programming language. Options like JavaScript, Python, Ruby, Java, C, and Go are prevalent, each serving various project needs. While it's easy to become overwhelmed by choices, consider your local job market. Generally, languages like Python, Java, and JavaScript are highly sought after.

Beginning your journey with Python is advisable due to its effortless syntax, making it perfect for beginners. However, if you're interested in a strong understanding of computer science, Java could be a great choice as it’s commonly taught in academia. Dedicate around 2 months, studying 3 to 5 hours daily, to develop a solid understanding of your chosen language.

2. Master Version Control Systems

Once you've established a strong programming foundation, the next skill to learn is a version control system, with Git being the most widely used. Git allows you to track code changes and collaborate efficiently with others in software development.

While Git comes with many features, as a beginner, focus on the core functionalities—about 20% of the features you will use 80% of the time. Allocate 1 to 2 weeks for practice to get up and running smoothly with Git and GitHub.

3. Grasp Data Structures and Algorithms

A deep understanding of data structures and algorithms will drastically improve your problem-solving capabilities as a backend developer. These concepts form the backbone of computer science, and you'll likely encounter them in technical interviews, especially at big tech corporations like Google and Microsoft.

Emphasize honing your skills in classic data structures and algorithms over a period of 1 to 2 months. This groundwork will enhance your ability to write efficient code and tackle complex programming challenges effectively.

4. Delve into Design Patterns

Next, it's essential to get acquainted with design patterns—established solutions to common software design dilemmas. Familiarity with design patterns enhances your understanding of object-oriented design principles and provides insights into how modern frameworks operate.

The classic "Design Patterns" book can be challenging due to its age and language focus. Instead, consider pursuing a modern course that applies these principles using languages like Java. Dedicating a couple of hours each day over 2 months will enhance your proficiency in utilizing design patterns effectively in your projects.

5. Understand and Design Databases

Finally, a robust understanding of databases is vital. Learn about relational databases using SQL and NoSQL databases for flexible data models. You can focus on MySQL or MongoDB to start. Committing to about a month for each database will equip you with the necessary skills to handle real-world data management.

In today's applications, having the proficiency to interact with databases is a prerequisite for backend developers. This expertise enables you to create, retrieve, update, and delete data without a hitch.

6. Embrace Web Frameworks

After establishing a sound foundation in programming languages and databases, it's time to explore web frameworks. Depending on the language you selected, you can learn Django for Python, Spring Boot for Java, Express.js for JavaScript, and so forth.

Web frameworks streamline the backend development process by handling routing, request and response management, and database interaction. Dedicating 2 months to learn how to utilize these frameworks effectively will set you up for success in building robust backend systems.

Conclusion

By following this roadmap, dedicating time to learn each skill methodically, and seeking out resources, you can be ready to apply for entry-level backend developer roles within a year. Remember, the journey to becoming a successful backend developer is a marathon, not a sprint. So, be patient, keep learning, and don’t hesitate to seek help when needed. Tech is an ever-evolving field, and with time and dedication, you will find your place in it—possibly even innovating practices that contribute to its future.