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The average tuition fee of Harvard is $52,659 per year!

But here's some good news...

Harvard University is offering FREE online courses (No application or Fee is required) 👇

1. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲

An entry level course, introduction to the intellectual enterprises of computer science and the art of programming.

🔗https://lnkd.in/dG3sXeyM

2. 𝗪𝗲𝗯 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 𝗮𝗻𝗱 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁

This course dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL.

🔗https://lnkd.in/d-xJNchj

3. 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲

React Native is a popular framework by Facebook that enables cross-platform native apps using JavaScript.

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4. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗮𝗺𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

Learn to develop 2D and 3D interactive games in this course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

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5. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻

Learn to use machine learning in Python in this introductory course on artificial intelligence.

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That's all folks!

✅ General Job & Internship Platforms:

LinkedIn Jobs → https://www.linkedin.com/jobs/
Internshala → https://internshala.com/
Naukri.com → https://www.naukri.com/
Indeed → https://www.indeed.com/
Glassdoor → https://www.glassdoor.com/
AngelList (Wellfound) → https://wellfound.com/
SimplyHired → https://www.simplyhired.com/
Monster → https://www.monster.com/


✅ Tech-Specific Platforms:
HackerRank → https://www.hackerrank.com/
LeetCode → https://leetcode.com/
GitHub Jobs → https://github.com/ (Job board retired, but useful for showcasing projects)
Wellfound (formerly AngelList) → https://wellfound.com/


✅ University-Focused Platforms:
Handshake → https://joinhandshake.com/
Chegg Internships → https://www.chegg.com/internships

✅ Freelance & Remote Work Platforms:
Upwork → https://www.upwork.com/
Fiverr → https://www.fiverr.com/
We Work Remotely → https://weworkremotely.com/

📚 Learning + Job Opportunities:
Kaggle → https://www.kaggle.com/
Codeforces → https://codeforces.com/
Turing → https://www.turing.com/

🏢 Company Career Pages (Examples):
Google Careers → https://careers.google.com/
Microsoft Careers → https://careers.microsoft.com/
Amazon Jobs → https://www.amazon.jobs/
Infosys Careers → https://www.infosys.com/careers/

🌐 Complete Roadmap to Become a Web Developer

📂 1. Learn the Basics of the Web
– How the internet works
– What is HTTP/HTTPS, DNS, Hosting, Domain
– Difference between frontend & backend

📂 2. Frontend Development (Client-Side)
∟📌 HTML – Structure of web pages
∟📌 CSS – Styling, Flexbox, Grid, Media Queries
∟📌 JavaScript – DOM Manipulation, Events, ES6+
∟📌 Responsive Design – Mobile-first approach
∟📌 Version Control – Git & GitHub

📂 3. Advanced Frontend
∟📌 JavaScript Frameworks/Libraries – React (recommended), Vue or Angular
∟📌 Package Managers – npm or yarn
∟📌 Build Tools – Webpack, Vite
∟📌 APIs – Fetch, REST API integration
∟📌 Frontend Deployment – Netlify, Vercel

📂 4. Backend Development (Server-Side)
∟📌 Choose a Language – Node.js (JavaScript), Python, PHP, Java, etc.
∟📌 Databases – MongoDB (NoSQL), MySQL/PostgreSQL (SQL)
∟📌 Authentication & Authorization – JWT, OAuth
∟📌 RESTful APIs / GraphQL
∟📌 MVC Architecture

📂 5. Full-Stack Skills
∟📌 MERN Stack – MongoDB, Express, React, Node.js
∟📌 CRUD Operations – Create, Read, Update, Delete
∟📌 State Management – Redux or Context API
∟📌 File Uploads, Payment Integration, Email Services

📂 6. Testing & Optimization
∟📌 Debugging – Chrome DevTools
∟📌 Performance Optimization
∟📌 Unit & Integration Testing – Jest, Cypress

📂 7. Hosting & Deployment
∟📌 Frontend – Netlify, Vercel
∟📌 Backend – Render, Railway, or VPS (e.g. DigitalOcean)
∟📌 CI/CD Basics

📂 8. Build Projects & Portfolio
– Blog App
– E-commerce Site
– Portfolio Website
– Admin Dashboard

📂 9. Keep Learning & Contributing
– Contribute to open-source
– Stay updated with trends
– Practice on platforms like LeetCode or Frontend Mentor

✅ Apply for internships/jobs with a strong GitHub + portfolio!

👍 Tap ❤️ for more!

DSA Handwritten Notes will be provide here within 24Hr.

✅ General Job & Internship Platforms:

LinkedIn Jobs → https://www.linkedin.com/jobs/
Internshala → https://internshala.com/
Naukri.com → https://www.naukri.com/
Indeed → https://www.indeed.com/
Glassdoor → https://www.glassdoor.com/
AngelList (Wellfound) → https://wellfound.com/
SimplyHired → https://www.simplyhired.com/
Monster → https://www.monster.com/


✅ Tech-Specific Platforms:
HackerRank → https://www.hackerrank.com/
LeetCode → https://leetcode.com/
GitHub Jobs → https://github.com/ (Job board retired, but useful for showcasing projects)
Wellfound (formerly AngelList) → https://wellfound.com/


✅ University-Focused Platforms:
Handshake → https://joinhandshake.com/
Chegg Internships → https://www.chegg.com/internships

✅ Freelance & Remote Work Platforms:
Upwork → https://www.upwork.com/
Fiverr → https://www.fiverr.com/
We Work Remotely → https://weworkremotely.com/

📚 Learning + Job Opportunities:
Kaggle → https://www.kaggle.com/
Codeforces → https://codeforces.com/
Turing → https://www.turing.com/

🏢 Company Career Pages (Examples):
Google Careers → https://careers.google.com/
Microsoft Careers → https://careers.microsoft.com/
Amazon Jobs → https://www.amazon.jobs/
Infosys Careers → https://www.infosys.com/careers/

CI/CD ምንድን ነው?

አንድን ሶፍትዌር ሰርተን ለተጠቃሚ ለማድረስ (Deployment) ስንነሳ ብዙ ጊዜ የምንጨነቀው "ኮዱ ይሰራል ወይ? ስህተት ቢኖሮስ? ሲስተሙ ቢቆምስ?" ብለን ነው። ይህንን ጭንቀት ለማስወገድ የመጣ አንድ ድንቅ አሰራር አለ 👉 CI/CD.

CI/CD (Continuous Integration / Continuous Deployment) ዝም ብሎ ኦቶሜሽን ብቻ አይደለም፤ የሥራ ባህልና አስተሳሰብ ጭምር ነው ።

ባጭሩ CI/CD ማለት የጻፍነውን ኮድ በየጊዜው እርስ በርስ ማገናኘት፣ በራሱ ጊዜ እንዲፈተሽ (Testing) ማድረግ እና ያለምንም ስጋት ለተጠቃሚ እንዲደርስ ማድረግ ነው።

አብዛኛው ጀማሪ Programmers የማያውቃቸው የCI/CD ጥቅሞች፦

➤ የሰውን ስህተት ይቀንሳል፦ ኮዱን ለተጠቃሚ ለማድረስ እኛ በእጃችን የምናደርገውን ጥረት ስለሚያስቀር ስህተቶች እንዳይፈጠሩ ያደርጋል።
➤ Feature Flags፦ ኮዱን ዛሬ አፕሊኬሽኑ ላይ ጭነን (Deploy) ለተጠቃሚዎች ግን በፈለግንበት ሌላ ቀን እንዲታይ ማድረግ እንችላለን።
➤ፈጣን ርምጃ (Rollbacks)፦ አዲሱ ኮድ ችግር ቢፈጥር እንኳን፣ በቅጽበት ወደ ቀድሞው ወደሚሰራው ኮድ ያለምንም መደናገጥ መመለስ ያስችላል።

የCI/CD ስራን ለማቀልጠፍ እንደ GitHub Actions ወይም GitLab CI ያሉ መሣሪያዎችን መጠቀም ስራችንን እጅግ ያቃልሉልናል።

ባጭሩ CI/CD ማለት ለኮዳችሁ እንደ "Autopilot" ነው፤ እናንተ ኮዱን ትጽፋላችሁ፣ እሱ ደግሞ በሰላም ያደርሳል ።

ጽሑፉን ከወደዳችሁት 👍,❤️ አይረሳ። 😊

📌 እስኪ እናንተ ደግሞ ለCI/CD የምትጠቀሙትን Tool ወይም ማወቅ የምትፈልጉትን ጥያቄ comment ላይ ጻፉልን?

✍️ @codebiruh

#CICD #DevOps #Automation #Programming

𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗢𝗳𝗳𝗲𝗿𝗲𝗱 𝗕𝘆 𝗜𝗜𝗧'𝘀 & 𝗜𝗜𝗠 😍 

Placement Assistance With 5000+ companies.

Companies are actively hiring candidates with AI & ML skills.

⏳ Deadline: 28th Feb 2026

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𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4ay4wPG

𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/3ZtIZm9

𝗠𝗟 𝗪𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3OD9jI1

✅ Hurry Up...Limited seats only

📌 Practice your coding skills here 👇
1. LeetCode
2. HackerRank
3. CodeSignal
4. CodeChef
5. TopCoder
6. Frontend Mentor
7. freeCodeCamp
8. CodePen
9. GeeksforGeeks
10. W3Schools
11. Scrimba
12. Coderbyte
13. Project Euler
14. SoloLearn
15. Codewars
16. DevChallenges
17. The Odin Project
18. Practice.dev
19. Pluralsight
20. CodeCombat
21. AlgoExpert
22. Programiz
23. Hack The Box
24. Edabit
25. Exercism

The average tuition fee of Harvard is $52,659 per year!

But here's some good news...

Harvard University is offering FREE online courses (No application or Fee is required) 👇

1. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲

An entry level course, introduction to the intellectual enterprises of computer science and the art of programming.

🔗https://lnkd.in/dG3sXeyM

2. 𝗪𝗲𝗯 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 𝗮𝗻𝗱 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁

This course dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL.

🔗https://lnkd.in/d-xJNchj

3. 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲

React Native is a popular framework by Facebook that enables cross-platform native apps using JavaScript.

🔗 https://lnkd.in/dqA53axW

4. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗮𝗺𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

Learn to develop 2D and 3D interactive games in this course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

🔗 https://lnkd.in/dVYmfSDJ

5. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻

Learn to use machine learning in Python in this introductory course on artificial intelligence.

🔗 https://lnkd.in/dwtEvNWm

That's all folks!

PROJECT IDEAS ✨

🟢 Beginner Level (Python Foundations)

👉| Number Guessing Game (CLI + GUI)
👉| To-Do List App (File-based / Tkinter)
👉| Weather App using API
👉| Password Generator & Strength Checker
👉| URL Shortener
👉| Calculator with Voice Input
👉| Quiz App with Score Tracking
👉| Basic Web Scraper (News / Jobs)
👉| Expense Tracker
👉| Chatbot using Rule-Based Logic

🟡 Intermediate Level (Data + ML Basics)

👉| Movie Recommendation System
👉| Stock Price Visualization Dashboard
👉| Email Spam Classifier
👉| Resume Parser using NLP
👉| Face Detection App (OpenCV)
👉| Fake News Detection
👉| Handwritten Digit Recognition
👉| Twitter / Reddit Sentiment Analyzer
👉| House Price Prediction
👉| OCR System (Image → Text)

🔵 Advanced Level (AI Systems & Real-World Products)

👉| Voice Assistant (Jarvis-like)
👉| Real-Time Face Recognition System
👉| AI Interview Bot
👉| Autonomous Web Scraping Agent
👉| YouTube Video Summarizer (NLP + LLMs)
👉| AI Study Planner
👉| ChatGPT-powered Customer Support Bot
👉| Recommendation Engine with Deep Learning
👉| Fraud Detection System
👉| Document Question Answering System

🔴 Expert / Startup-Level (AI Agents & Full Products)

👉| Multi-Agent Task Automation System
👉| AI Coding Assistant (like Copilot mini)
👉| Personalized Learning AI Coach
👉| Autonomous Trading Bot
👉| AI Content Creation Pipeline (Reels, Blogs, Shorts)
👉| AI Research Assistant
👉| Smart Resume Matching System
👉| AI SaaS for Social Media Automation
👉| Real-Time Speech Translation System
👉| End-to-End AI Search Engine

🔤 A–Z of Programming 💻

A – Array
A data structure that stores a collection of elements of the same type, accessed by index.

B – Binary
A base-2 number system using 0s and 1s, the foundation of how computers represent data and perform operations.

C – Class
A blueprint in object-oriented programming for creating objects, defining attributes and methods.

D – Data Structure
An organization of data for efficient access and modification, like lists or trees.

E – Exception
An error or unexpected event during program execution that can be handled to prevent crashes.

F – Function
A reusable block of code that performs a specific task, often taking inputs and returning outputs.

G – Git
A version control system for tracking changes in code, enabling collaboration and history management.

H – HashMap/Hash Table
A data structure storing key-value pairs for fast lookups using hashing.

I – Inheritance
A mechanism where a class inherits properties and methods from a parent class in OOP.

J – JavaScript
A versatile language for web development, handling client-side interactivity and server-side with Node.js.

K – Keyword
A reserved word in a language with special meaning, like "if" or "for", not usable as variable names.

L – Loop
A control structure repeating code until a condition is met, such as for or while loops.

M – Modulus
An operator (%) returning the remainder of division, useful for cycles or checks.

N – Null
A special value indicating absence of data or no object reference.

O – Object
An instance of a class containing data (attributes) and behavior (methods) in OOP.

P – Pointer
A variable storing the memory address of another variable for direct access.

Q – Queue
A FIFO (First-In-First-Out) data structure for processing items in order.

R – Recursion
A function calling itself to solve smaller instances of a problem.

S – Stack
A LIFO (Last-In-First-Out) data structure, like a stack of plates.

T – Testing
Verifying a program's correctness through unit tests, integration, and more.

U – Unicode
A standard encoding characters from all writing systems for global text handling.

V – Variable
A named storage for data that can change during program execution.

W – While Loop
Repeats code while a condition remains true, offering flexible iteration.

X – XOR
A logical operator true if operands differ, used in cryptography and checks.

Y – Yield
A keyword returning a value from a generator, enabling lazy iteration.

Z – Zeroes (numpy.zeros)
Creates an array filled with zeros, useful for initialization.

Double Tap ♥️ For More

🔥 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

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https://pdlink.in/4qHVFkI

🚀 Perfect for Students ,Freshers & Working Professionals

Rust free courses and learning materials

Non-Video tutorials:

Rust Tutorial
by University of Virginia (cs4414 Spring 2014.)
Authors: Alex Lamana, Rob Michaels, Wil Thomason, and David Evans for
http://aml3.github.io/RustTutorial/html/toc.html

24daysofrust
by Zbigniew Siciarz
http://zsiciarz.github.io/24daysofrust/index.html

Introduction to Rust Tutorial
by CoderHQ
https://www.koderhq.com/tutorial/rust/#tutorial-list

Take your first steps with Rust
by Microsoft
⏰ 5 hr 31 min
📚 11 Modules
https://docs.microsoft.com/en-us/learn/paths/rust-first-steps/

🎯 7 best YouTube channels to learn AI from scratch 👇

1/ DeepLearning AI:
https://www.youtube.com/c/DeepLearningAI

2/ Krish Naik:
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig

3/ StatQuest with Josh Starmer:
https://www.youtube.com/c/joshstarmer

4/ 3Blue1Brown:
https://www.youtube.com/c/3blue1brown

5/ FreeCodeCamp
https://www.youtube.com/c/Freecodecamp

6/ Yannic Kilcher:
https://www.youtube.com/c/YannicKilcher

7/ IBM Technology:
https://www.youtube.com/c/IBMTechnology

These days things are getting😨😨 ....

🎯If you want to survive in AI era, you must complete these 5 Free AI Courses by google before the 2026 ends 👇

1/ Introduction to Generative AI:
https://www.skills.google/course_templates/536

2/ Introduction to LLM:
https://www.skills.google/course_templates/539

3/ Introduction to Responsible AI:
https://www.skills.google/course_templates/554

4/ GenAI Bootcamp:
https://cloudonair.withgoogle.com/gen-ai-bootcamp

5/ Google AI Essentials:
https://www.skills.google/paths/2336

⭐⭐⭐ Advance Level Data science Projects ⭐⭐⭐

1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data

2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html

3) Visual QA : https://visualqa.org/download.html

4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/

5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset

6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset

7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b