اتعلم برمجة من الصفر أكتر من 20 كورس مجاني من أكبر المنصات العالمية

 

Learn programming from scratch with more than 20 free courses from the largest global platforms.

 

Do you dream of learning programming from scratch but don’t know where to start? Here are more than 20 free courses offered by global platforms such as Udemy, Coursera, edX, and others. Everything you need to begin your programming journey is here.

Why learn programming in 2026?

لأن ده مش بس مجال شغل دي طريقة تفكير بتخليك تحل مشاكل وتفكر بطريقة منظمة كمان مش هتدفع كتير كل حاجة تقريبا ببلاش أو بربع تمن الكورسات المدفوعة مرونة تتعلم وقت ما تحب وبالسرعة اللي تريحك تخصص في اللي يهمك من غير مواد مملة مالهاش لازمة فرص كبيرة ممكن كورس واحد من MIT أو Google يفتحلك باب شغل في شركة عالمية

 

 

 

 

The best platforms offering free programming courses

Stage 1: Theoretical Basics

ابدأ من الصفر اعرف يعني إيه كمبيوتر و بيشتغل إزاي وإيه الفرق بين الهاردوير والبرمجيات و
اتعلم كمان يعني إيه خوارزميات وهياكل بيانات.

Useful resources :

• Harvard CS50 Course (Translated into Arabic)
• Crash Course Computer Science YouTube Channel
• كتاب   Computer Science Illuminated

 

Stage 2: Learn a programming language

Choose a language and start learning it. The most suitable languages for beginners :

Python ( Easy and Fun )

JavaScript ( if you are interested in the web )

C++ or Java ( if you want a strong academic foundation )

Learn how to write code and create simple projects like a calculator or a to-do list.
Excellent sites :

freeCodeCamp

The Odin Project

Codecademy

 

 

 

 

 

Stage 3: Data Structures and Algorithms

دي الأساس اللي بيخليك تفكر صح وتحل مشاكل زي المحترفين.
اتعلم عن:

• Arrays, Linked Lists, Trees
• Sorting & Searching
• Big-O notation

sources :

•  Grokking Algorithms book 
• LeetCode  Exercise Solutions
• DSA courses on Coursera

 

المرحلة 4: مفاهيم متقدمة (زي اللي بيتعلموها في الكلية)

I’m getting serious now like a second or third year computer science student .

Operating systems :

• Processes​
• Memory and File Systems
  Book : Tanenbaum – Operating Systems

Networks :

• How does the Internet work?
• DNS – TCP/IP
  كورس Udacity – Computer Networking

Databases :

• SQL وNoSQL
• Table design
• CRUD Commands Stanford Databases
  Course on edX

 

Stage 5: Projects and practical application

من غير مشاريع كل اللي اتعلمته بيضيع ابدأ اشتغل على:

• Web application with React or Django

• A simple Python program solves a real problem.
• Create a personal website and showcase your work on GitHub.

Project ideas :

• Task management app
• A simple game like Tic Tac Toe
• A program to calculate your expenses

 

Stage 6: Ready for the job market or specialization

If you intend to work :

• Learn Git and GitHub
• Prepare yourself for the question “Tell me about your project “
• Study interview questions from HackerRank and InterviewBit

If you intend to specialize :

• Want artificial intelligence? Focus on Python and Machine Learning
• Cybersecurity? Learn networks and systems
• Data Science Focused on Python , Pandas , and SQL

Many questions are running through your mind?

• هل ممكن أتعلم كل ده لوحدي؟
  آه طبعًا فيه آلاف اتعلموا كده واشتغلوا في شركات كبيرة.
• Do I have to be good at English?
  English will be very beneficial to you, but you can start with Arabic sources and with time your language will improve automatically .
• Do you need a powerful computer?
  No, any average laptop is more than enough to get started .

 

 

To study programming step by step, starting from the basics and ending with advanced practical skills.

The first stage:

• Introduction to Computer Science

Start your journey by understanding the basics of the field and programming concepts in an academic and simplified way .

 

The second stage:

  Core Topics Basic
Programming :

Start by understanding programming from scratch and progress to designing complex software .

• How to Code – Simple Data
• How to Code – Complex Data
• Software Construction – Data Abstraction
• Software Construction – Object-Oriented Design
• Programming Languages – A, B, C

 

Basic mathematics :

Mathematics is the heart of computer science. These courses cover the most important topics you will need .

• Essence of Linear Algebra – YouTube Playlist
• Linear Algebra – Foundations to Frontiers
• Calculus One
• Calculus Two: Sequences and Series
• Mathematics for Computer Science – MIT

 

Basic computer systems :

Understand how a computer works from the inside, starting with bits and building the entire computer. Bits are the smallest unit of information in a computer, consisting of a 0 or a 1. The computer processes everything in the form of a series of bits .

• Build a Modern Computer – From Nand to Tetris Part I & II
• Introduction to Computer Networking – Stanford
• Introduction to Computer Networking – Stanford
• Hack the Kernel – Operating Systems

 

 

 

Basic theories :

Learn algorithms and computational thinking .

• Algorithms: Design and Analysis Part I & II – Stanford

 

Basic applications :

Enter the world of practical application of computer science .

• Databases
• Machine Learning – Andrew Ng
• Computer Graphics
• Cryptography I
• Software Engineering: Introduction
• Capstone Project – Software Development

 

Stage 3: Advanced   Topics

Advanced programming :

Develop your skills in program debugging, parallel programming, and compiler building .

• Compilers – Stanford
• Software Debugging – Udacity
• Software Testing – Udacity
• Parallel Programming
• Software Architecture & Design

 

Advanced Mathematics :

Complete mathematical concepts more accurately, especially probability and multiple differentiation .

• Multivariable Calculus – MIT
• Introduction to Probability

 

Advanced systems :

From distributed systems to computer architecture .

• Reliable Distributed Systems (Part 1 & 2)
• Electricity and Magnetism (Part 1 & 2)
• Computation Structures 1, 2, 3 – MIT

 

Advanced theory :

Enter the world of logic, mathematical models, and game theory .

• Introduction to Logic
• Automata Theory – Stanford
• Computational Geometry
• Formal Concept Analysis
• Game Theory

 

Advanced applications :

Start specializing in new fields like AI, data, and web development .

• Robotics – Specialization
• Data Mining
• Big Data
• Internet of Things
• Cloud Computing
• Full Stack Web Development
• Data Science – Johns Hopkins
• Functional Programming in Scala

 

Stage Four: Final   Project

Now that you’ve come a long way in learning, it’s time to apply. You can build your own project or join an open source project.

• CodeTriage – Participate in developing tools and libraries

First Timers Only – Projects Suitable for Beginners

 

 

Tips for staying consistent and not getting distracted

If you keep waiting for the right time, you will never start. Come on, what are you waiting for? Start today, even if it is just one hour a day. Daily accumulation is the secret to success. Remember, stick to a clear plan. Allocate a fixed time every day. Build projects and share them. Enjoy the journey. You don’t need university. You need passion and continuity.