The Ultimate ChatGPT Learning Prompt for Mastering Any Subject Quickly with Free Resources
My prompt for learning anything for FREE
Objective: I want to rapidly learn [INSERT SUBJECT] using high-quality free resources in the shortest possible time while maintaining deep understanding and practical application.
🔹 Output Format: Provide me with a structured step-by-step learning roadmap that includes:
Essential Concepts & Skills – The core 20% of knowledge that gives 80% of the results.
Best Free Textbooks & PDFs – Link to open-source or publicly available books.
High-Quality YouTube Playlists – Videos that explain concepts concisely and practically.
Online Courses & Open Lectures – University lectures, MOOCs, or other structured courses.
Hands-On Practice & Exercises – Practical applications, exercises, or projects to reinforce learning.
Advanced & Expert-Level Resources – For deep mastery after fundamentals.
Estimated Timeframe & Learning Schedule – A breakdown of how long it takes to complete each section efficiently.
Testing & Self-Assessment – Ways to test my understanding through quizzes, case studies, or real-world applications.
🔹 Customization:
Optimize for efficiency – the fastest way to grasp concepts without sacrificing understanding.
Provide direct download links for textbooks/PDFs and relevant timestamps for videos.
Prioritize active learning techniques such as problem-solving, summarization, and real-world application.
If possible, suggest communities, forums, or mentors where I can accelerate my learning through discussion and feedback.
Software Engineering Roadmap:
Ultimate Roadmap to Learning Software Engineering Efficiently (Using Free Resources)
🕒 Estimated Completion Time: 6-12 Months (Full-Time) | 12-24 Months (Part-Time)
Goal: Become proficient in Software Engineering with strong coding skills, problem-solving abilities, and knowledge of system design, algorithms, and best practices.
📌 1. Essential Concepts & Skills (The Core 20%)
The foundational topics every software engineer must master:
✅ Programming Fundamentals (Choose One Language: Python, Java, JavaScript, or C++)
✅ Data Structures & Algorithms (DSA)
✅ Computer Science Basics (Memory, CPU, OS, Networking, Databases)
✅ Software Development Lifecycle (SDLC, Agile, DevOps)
✅ Version Control (Git & GitHub)
✅ Object-Oriented Programming (OOP) & Design Patterns
✅ Databases (SQL & NoSQL)
✅ System Design & Scalability
✅ Testing & Debugging
✅ Cloud Computing & APIs
✅ Deployment (CI/CD, Docker, Kubernetes)
📚 2. Best Free Textbooks & PDFs
📖 Programming (Choose One Language & Read the Textbook)
JavaScript – Eloquent JavaScript
C++ – Programming Principles and Practice Using C++
Java – Think Java
📖 Computer Science Foundations
CS50 Harvard Notes – CS50 Handbook
How Computers Work – Computer Science Crash Course
📖 Data Structures & Algorithms
Introduction to Algorithms (CLRS) – MIT OpenCourseWare
Grokking Algorithms – Online Summary
📖 System Design & Databases
Designing Data-Intensive Applications (DDIA) – Unofficial Notes
Database Systems – Database System Concepts (PDF)
📖 Software Engineering Practices
The Pragmatic Programmer – Summary & Notes
Clean Code by Robert C. Martin – Summary
🎥 3. High-Quality YouTube Playlists
🎬 CS Fundamentals & Programming:
Harvard’s CS50: Introduction to Computer Science – Watch Here
Python for Beginners – Programming with Mosh
🎬 Data Structures & Algorithms:
Data Structures & Algorithms Crash Course – FreeCodeCamp
MIT 6.006 – Intro to Algorithms – MIT OpenCourseWare
🎬 System Design & Scalability:
Grokking System Design – Tech Dummies
System Design for Interviews – Gaurav Sen
🎬 Software Engineering Best Practices:
Clean Code Explained – Tech With Tim
Git & GitHub Crash Course – Traversy Media
🎓 4. Online Courses & Open Lectures
📌 Programming & CS Basics
Harvard CS50 – Computer Science – Enroll Free
MIT OpenCourseWare – Introduction to Computer Science – Course Page
📌 Data Structures & Algorithms
Stanford Algorithms Specialization (Tim Roughgarden) – Free on Coursera
📌 System Design & Databases
Database Design by Stanford – Watch on EdX
🛠️ 5. Hands-On Practice & Exercises
💻 Coding Challenges (Daily Practice)
LeetCode – Best for DSA interview prep
CodeWars – Gamified learning
HackerRank – Good for SQL, Java, Python
🌎 Real-World Projects (Portfolio Building)
Clone a Popular Website (Netflix, Twitter, Instagram)
Build a CRUD API using Node.js or Django
Create a Full-Stack App with React & Firebase
🔧 Version Control Practice (Git & GitHub)
Contribute to Open Source – GitHub Open Source Projects
📈 6. Advanced & Expert-Level Resources
📚 Advanced Textbooks & Courses
Advanced Algorithms (MIT 6.854) – Lecture Notes
Designing Data-Intensive Applications (DDIA) – Book Summary
📺 Deep-Dive YouTube Channels
Gaurav Sen – System Design & Software Architecture
Tech Dummies – Scaling Systems & Microservices
🗓️ 7. Estimated Timeframe & Learning Schedule
⏳ Beginner (0-3 months):
✔️ Programming Basics + CS Fundamentals
✔️ Data Structures & Algorithms Introduction
⏳ Intermediate (3-6 months):
✔️ Advanced DSA + Object-Oriented Design
✔️ Git, Databases & SQL, APIs
⏳ Advanced (6-12 months):
✔️ System Design, Cloud, DevOps & Scalable Systems
✔️ Software Architecture, Deployment & CI/CD
✅ 8. Testing & Self-Assessment
📌 CS50 Final Project: Apply all learned concepts.
📌 LeetCode Medium-Hard Problems: Validate DSA skills.
📌 Build a Scalable System Design Project: Test architecture knowledge.
📌 Mock Interviews: Use Pramp or Interviewing.io.
💡 Where to Get Help & Join Communities
👥 Reddit – r/learnprogramming – Join Here
👥 Stack Overflow – Ask Questions
👥 GitHub Open Source Contributions – Explore Projects
🚀 By following this roadmap, you’ll gain a strong foundation in Software Engineering and be ready for real-world development or job interviews!
Let me know what you think about it, and if you have any prompts you love using for learning new stuff.