You can use ChatGPT to make money online.
Here are 10 prompts by ChatGPT
1. Develop Email Newsletters:
Make interesting email newsletters to keep audience updated and engaged.
Prompt→ "
2. Create Online Course Material:
Make detailed and educational online course content.
Prompt→ "
3. Ghostwrite eBooks:
Use ChatGPT to write eBooks on different topics for online sale.
Prompt→ "
4. Compose Music Reviews or Critiques:
Use ChatGPT to write detailed reviews of music, albums, and artists.
Prompt: "
5. Develop Mobile App Content:
Use ChatGPT to create mobile app content like denoscriptions, guides, and FAQs.
Prompt: "
6. Create Resume Templates:
Use ChatGPT to create diverse resume templates for various jobs.
Prompt→ "I want to offer a range of professional resume templates on my website. Can you help me create five different templates, each tailored to a specific career field like IT, healthcare, and marketing?"
7. Write Travel Guides:
Use ChatGPT to write travel guides with tips and itineraries for different places.
Prompt→ "I'm creating a travel blog about European cities. Can you help me write a comprehensive guide for first-time visitors to Paris, including must-see sights, local dining recommendations, and travel tips?"
8. Draft Legal Documents:
Use ChatGPT to write basic legal documents like contracts and terms of service.
Prompt→ "I need to draft a terms of service document for my new e-commerce website. Can you help me create a draft that covers all necessary legal points in clear language?"
9. Write Video Game Reviews:
Use ChatGPT to write engaging video game reviews, covering gameplay and graphics.
Prompt→ "I run a gaming blog. Can you help me write a detailed review of the latest [Game Title], focusing on its gameplay mechanics, storyline, and graphics quality?"
10. Develop Personal Branding Materials:
Use ChatGPT to help build a personal branding package, including bios, LinkedIn profiles, and website content.
Prompt→ "I'm a freelance graphic designer looking to strengthen my personal brand. Can you help me write a compelling biography, update my LinkedIn profile, and create content for my portfolio website?"
ENJOY LEARNING 👍👍
Here are 10 prompts by ChatGPT
1. Develop Email Newsletters:
Make interesting email newsletters to keep audience updated and engaged.
Prompt→ "
I run a local community news website. Can you help me create a weekly email newsletter that highlights key local events, stories, and updates in a compelling way?"2. Create Online Course Material:
Make detailed and educational online course content.
Prompt→ "
I'm creating an online course about basic programming for beginners. Can you help me generate a syllabus and detailed lesson plans that cover fundamental concepts in an easy-to-understand manner?"3. Ghostwrite eBooks:
Use ChatGPT to write eBooks on different topics for online sale.
Prompt→ "
I want to publish an eBook about healthy eating habits. Can you help me outline and ghostwrite the chapters, focusing on practical tips and easy recipes?"4. Compose Music Reviews or Critiques:
Use ChatGPT to write detailed reviews of music, albums, and artists.
Prompt: "
I run a music review blog. Can you help me write a detailed review of the latest album by [Artist Name], focusing on their musical style, lyrics, and overall impact?"5. Develop Mobile App Content:
Use ChatGPT to create mobile app content like denoscriptions, guides, and FAQs.
Prompt: "
I'm developing a fitness app and need help writing the app denoscription for the store, user instructions, and a list of frequently asked questions."6. Create Resume Templates:
Use ChatGPT to create diverse resume templates for various jobs.
Prompt→ "I want to offer a range of professional resume templates on my website. Can you help me create five different templates, each tailored to a specific career field like IT, healthcare, and marketing?"
7. Write Travel Guides:
Use ChatGPT to write travel guides with tips and itineraries for different places.
Prompt→ "I'm creating a travel blog about European cities. Can you help me write a comprehensive guide for first-time visitors to Paris, including must-see sights, local dining recommendations, and travel tips?"
8. Draft Legal Documents:
Use ChatGPT to write basic legal documents like contracts and terms of service.
Prompt→ "I need to draft a terms of service document for my new e-commerce website. Can you help me create a draft that covers all necessary legal points in clear language?"
9. Write Video Game Reviews:
Use ChatGPT to write engaging video game reviews, covering gameplay and graphics.
Prompt→ "I run a gaming blog. Can you help me write a detailed review of the latest [Game Title], focusing on its gameplay mechanics, storyline, and graphics quality?"
10. Develop Personal Branding Materials:
Use ChatGPT to help build a personal branding package, including bios, LinkedIn profiles, and website content.
Prompt→ "I'm a freelance graphic designer looking to strengthen my personal brand. Can you help me write a compelling biography, update my LinkedIn profile, and create content for my portfolio website?"
ENJOY LEARNING 👍👍
❤10
🔰 Artificial Intelligence Roadmap
1️⃣ Foundations of AI & Math Essentials
├── What is AI, ML, DL?
├── Types of AI: Narrow, General, Super AI
├── Linear Algebra: Vectors, Matrices, Eigenvalues
├── Probability & Statistics: Bayes Theorem, Distributions
├── Calculus: Derivatives, Gradients (for optimization)
2️⃣ Programming & Tools
💻 Python – NumPy, Pandas, Matplotlib, Seaborn
🧰 Tools – Jupyter, VS Code, Git, GitHub
📦 Libraries – Scikit-learn, TensorFlow, PyTorch, OpenCV
📊 Data Handling – CSV, JSON, APIs, Web Scraping
3️⃣ Machine Learning (ML)
📈 Supervised Learning – Regression, Classification
🧠 Unsupervised Learning – Clustering, Dimensionality Reduction
🎯 Model Evaluation – Accuracy, Precision, Recall, F1, ROC
🔄 Model Tuning – Cross-validation, Grid Search
📂 ML Projects – Spam Classifier, House Price Prediction, Loan Approval
4️⃣ Deep Learning (DL)
🧠 Neural Networks – Perceptron, Activation Functions
🔁 CNNs – Image classification, object detection
🗣 RNNs & LSTMs – Time series, text generation
🧮 Transfer Learning – Using pre-trained models
🧪 DL Projects – Face Recognition, Image Captioning, Chatbots
5️⃣ Natural Language Processing (NLP)
📚 Text Preprocessing – Tokenization, Lemmatization, Stopwords
📊 Vectorization – TF-IDF, Word2Vec, BERT
🧠 NLP Tasks – Sentiment Analysis, Text Summarization, Q&A
💬 Chatbots – Rule-based, ML-based, Transformers
6️⃣ Computer Vision (CV)
📷 Image Processing – Filters, Edge Detection, Contours
🧠 Object Detection – YOLO, SSD, Haar Cascades
🧪 CV Projects – Mask Detection, OCR, Gesture Recognition
7️⃣ MLOps & Deployment
☁️ Model Deployment – Flask, FastAPI, Streamlit
📦 Model Saving – Pickle, Joblib, ONNX
🚀 Cloud Platforms – AWS, GCP, Azure
🔄 CI/CD for ML – MLflow, DVC, GitHub Actions
8️⃣ Optional Advanced Topics
📘 Reinforcement Learning – Q-Learning, DQN
🧠 GANs – Generate realistic images
🔐 AI Ethics – Bias, Fairness, Explainability
🧠 LLMs – Transformers, , BERT, LLaMA
9️⃣ Portfolio Projects to Build
✔️ Spam Classifier
✔️ Face Recognition App
✔️ Movie Recommendation System
✔️ AI Chatbot
✔️ Image Caption Generator
AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
💬 Tap ❤️ for more!
1️⃣ Foundations of AI & Math Essentials
├── What is AI, ML, DL?
├── Types of AI: Narrow, General, Super AI
├── Linear Algebra: Vectors, Matrices, Eigenvalues
├── Probability & Statistics: Bayes Theorem, Distributions
├── Calculus: Derivatives, Gradients (for optimization)
2️⃣ Programming & Tools
💻 Python – NumPy, Pandas, Matplotlib, Seaborn
🧰 Tools – Jupyter, VS Code, Git, GitHub
📦 Libraries – Scikit-learn, TensorFlow, PyTorch, OpenCV
📊 Data Handling – CSV, JSON, APIs, Web Scraping
3️⃣ Machine Learning (ML)
📈 Supervised Learning – Regression, Classification
🧠 Unsupervised Learning – Clustering, Dimensionality Reduction
🎯 Model Evaluation – Accuracy, Precision, Recall, F1, ROC
🔄 Model Tuning – Cross-validation, Grid Search
📂 ML Projects – Spam Classifier, House Price Prediction, Loan Approval
4️⃣ Deep Learning (DL)
🧠 Neural Networks – Perceptron, Activation Functions
🔁 CNNs – Image classification, object detection
🗣 RNNs & LSTMs – Time series, text generation
🧮 Transfer Learning – Using pre-trained models
🧪 DL Projects – Face Recognition, Image Captioning, Chatbots
5️⃣ Natural Language Processing (NLP)
📚 Text Preprocessing – Tokenization, Lemmatization, Stopwords
📊 Vectorization – TF-IDF, Word2Vec, BERT
🧠 NLP Tasks – Sentiment Analysis, Text Summarization, Q&A
💬 Chatbots – Rule-based, ML-based, Transformers
6️⃣ Computer Vision (CV)
📷 Image Processing – Filters, Edge Detection, Contours
🧠 Object Detection – YOLO, SSD, Haar Cascades
🧪 CV Projects – Mask Detection, OCR, Gesture Recognition
7️⃣ MLOps & Deployment
☁️ Model Deployment – Flask, FastAPI, Streamlit
📦 Model Saving – Pickle, Joblib, ONNX
🚀 Cloud Platforms – AWS, GCP, Azure
🔄 CI/CD for ML – MLflow, DVC, GitHub Actions
8️⃣ Optional Advanced Topics
📘 Reinforcement Learning – Q-Learning, DQN
🧠 GANs – Generate realistic images
🔐 AI Ethics – Bias, Fairness, Explainability
🧠 LLMs – Transformers, , BERT, LLaMA
9️⃣ Portfolio Projects to Build
✔️ Spam Classifier
✔️ Face Recognition App
✔️ Movie Recommendation System
✔️ AI Chatbot
✔️ Image Caption Generator
AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
💬 Tap ❤️ for more!
❤7
🌐 Coding Languages & Their Use Cases 💻🔧
🔹 Python ➜ AI, data science, automation, and web backends with simple syntax
🔹 JavaScript ➜ Front-end interactivity, full-stack development, and Node.js servers
🔹 Java ➜ Enterprise apps, Android development, and scalable backend systems
🔹 C++ ➜ High-performance games, system software, and embedded systems
🔹 C# ➜.NET apps, Unity game development, and Windows desktop software
🔹 SQL ➜ Database querying, data management, and analytics
🔹 TypeScript ➜ Typed JavaScript for large-scale web apps and better maintainability
🔹 Go (Golang) ➜ Cloud services, microservices, and efficient concurrent programming
🔹 Rust ➜ Safe systems programming, web assembly, and performance-critical apps
🔹 PHP ➜ Server-side web development for CMS like WordPress and Laravel
🔹 Swift ➜ iOS/macOS app development with modern, safe code
🔹 Kotlin ➜ Android apps, server-side, and cross-platform mobile development
🔹 R ➜ Statistical analysis, data visualization, and research noscripting
🔹 Ruby ➜ Web apps with Rails framework for rapid prototyping
🔹 HTML/CSS ➜ Web structure and styling (foundational for front-end coding)
💬 Tap ❤️ if this helped!
🔹 Python ➜ AI, data science, automation, and web backends with simple syntax
🔹 JavaScript ➜ Front-end interactivity, full-stack development, and Node.js servers
🔹 Java ➜ Enterprise apps, Android development, and scalable backend systems
🔹 C++ ➜ High-performance games, system software, and embedded systems
🔹 C# ➜.NET apps, Unity game development, and Windows desktop software
🔹 SQL ➜ Database querying, data management, and analytics
🔹 TypeScript ➜ Typed JavaScript for large-scale web apps and better maintainability
🔹 Go (Golang) ➜ Cloud services, microservices, and efficient concurrent programming
🔹 Rust ➜ Safe systems programming, web assembly, and performance-critical apps
🔹 PHP ➜ Server-side web development for CMS like WordPress and Laravel
🔹 Swift ➜ iOS/macOS app development with modern, safe code
🔹 Kotlin ➜ Android apps, server-side, and cross-platform mobile development
🔹 R ➜ Statistical analysis, data visualization, and research noscripting
🔹 Ruby ➜ Web apps with Rails framework for rapid prototyping
🔹 HTML/CSS ➜ Web structure and styling (foundational for front-end coding)
💬 Tap ❤️ if this helped!
❤7
✅ Programming Roadmap for Beginners (2025) 💻🧠
1. Choose Your First Language
⦁ Python is the top pick for beginners—simple syntax and versatile (web, AI, automation)
⦁ JavaScript is great if you want web development skills fast
⦁ Others: Lua, Ruby, Kotlin for different tastes and goals
2. Set Up Your Environment
⦁ Install VS Code, Python from python.org, or use online editors like Replit for no-install coding
3. Learn Core Concepts
⦁ Variables, data types, operators
⦁ Control flow: if/else, loops
⦁ Functions to write reusable code
4. Understand Data Structures
⦁ Lists/arrays, dictionaries/objects
⦁ Basic operations: add, remove, search
5. Practice Projects
⦁ Build small things: calculator, to-do app, simple games
6. Debugging & Best Practices
⦁ Use print/debugger tools
⦁ Write clean, commented, readable code
7. Expand Skills Gradually
⦁ Learn OOP (Object-Oriented Programming)
⦁ Explore frameworks (React for JS, Django for Python)
1. Choose Your First Language
⦁ Python is the top pick for beginners—simple syntax and versatile (web, AI, automation)
⦁ JavaScript is great if you want web development skills fast
⦁ Others: Lua, Ruby, Kotlin for different tastes and goals
2. Set Up Your Environment
⦁ Install VS Code, Python from python.org, or use online editors like Replit for no-install coding
3. Learn Core Concepts
⦁ Variables, data types, operators
⦁ Control flow: if/else, loops
⦁ Functions to write reusable code
4. Understand Data Structures
⦁ Lists/arrays, dictionaries/objects
⦁ Basic operations: add, remove, search
5. Practice Projects
⦁ Build small things: calculator, to-do app, simple games
6. Debugging & Best Practices
⦁ Use print/debugger tools
⦁ Write clean, commented, readable code
7. Expand Skills Gradually
⦁ Learn OOP (Object-Oriented Programming)
⦁ Explore frameworks (React for JS, Django for Python)
❤6
10 Websites Every Developer & AI Enthusiast Should Bookmark
✅ roadmap.sh – Step-by-step learning paths for devs
✅ paperswithcode.com – Browse ML research with code implementations
✅ devdocs.io – Offline access to all developer documentation
✅ excalidraw.com – Create whiteboard-style diagrams for planning
✅ codewars.com – Improve coding skills with challenges
✅ vectara.com – Build RAG apps with AI-powered search
✅ openai.com/blog – Stay updated with the latest AI research
✅ learnprompting.org – Master the art of prompt engineering
✅ datasimplifier.com – Free Data Science & Analytics Resources
✅ hackertarget.com – Useful for cybersecurity testing tools
If you want more free resources like this React with emoji and turn all notification 📢
Join @free4unow_backup for more free resources.
ENJOY LEARNING 👍👍
✅ roadmap.sh – Step-by-step learning paths for devs
✅ paperswithcode.com – Browse ML research with code implementations
✅ devdocs.io – Offline access to all developer documentation
✅ excalidraw.com – Create whiteboard-style diagrams for planning
✅ codewars.com – Improve coding skills with challenges
✅ vectara.com – Build RAG apps with AI-powered search
✅ openai.com/blog – Stay updated with the latest AI research
✅ learnprompting.org – Master the art of prompt engineering
✅ datasimplifier.com – Free Data Science & Analytics Resources
✅ hackertarget.com – Useful for cybersecurity testing tools
If you want more free resources like this React with emoji and turn all notification 📢
Join @free4unow_backup for more free resources.
ENJOY LEARNING 👍👍
❤7😁1
"Data Structures and Algorithms in Python"
In this book, which is over 300 pages long, all the main data structures and algorithms are excellently explained.
There are versions for both C++ and Java.
Here's a copy for Python
In this book, which is over 300 pages long, all the main data structures and algorithms are excellently explained.
There are versions for both C++ and Java.
Here's a copy for Python
❤4
Python Detailed Roadmap 🚀
📌 1. Basics
◼ Data Types & Variables
◼ Operators & Expressions
◼ Control Flow (if, loops)
📌 2. Functions & Modules
◼ Defining Functions
◼ Lambda Functions
◼ Importing & Creating Modules
📌 3. File Handling
◼ Reading & Writing Files
◼ Working with CSV & JSON
📌 4. Object-Oriented Programming (OOP)
◼ Classes & Objects
◼ Inheritance & Polymorphism
◼ Encapsulation
📌 5. Exception Handling
◼ Try-Except Blocks
◼ Custom Exceptions
📌 6. Advanced Python Concepts
◼ List & Dictionary Comprehensions
◼ Generators & Iterators
◼ Decorators
📌 7. Essential Libraries
◼ NumPy (Arrays & Computations)
◼ Pandas (Data Analysis)
◼ Matplotlib & Seaborn (Visualization)
📌 8. Web Development & APIs
◼ Web Scraping (BeautifulSoup, Scrapy)
◼ API Integration (Requests)
◼ Flask & Django (Backend Development)
📌 9. Automation & Scripting
◼ Automating Tasks with Python
◼ Working with Selenium & PyAutoGUI
📌 10. Data Science & Machine Learning
◼ Data Cleaning & Preprocessing
◼ Scikit-Learn (ML Algorithms)
◼ TensorFlow & PyTorch (Deep Learning)
📌 11. Projects
◼ Build Real-World Applications
◼ Showcase on GitHub
📌 12. ✅ Apply for Jobs
◼ Strengthen Resume & Portfolio
◼ Prepare for Technical Interviews
Like for more ❤️💪
📌 1. Basics
◼ Data Types & Variables
◼ Operators & Expressions
◼ Control Flow (if, loops)
📌 2. Functions & Modules
◼ Defining Functions
◼ Lambda Functions
◼ Importing & Creating Modules
📌 3. File Handling
◼ Reading & Writing Files
◼ Working with CSV & JSON
📌 4. Object-Oriented Programming (OOP)
◼ Classes & Objects
◼ Inheritance & Polymorphism
◼ Encapsulation
📌 5. Exception Handling
◼ Try-Except Blocks
◼ Custom Exceptions
📌 6. Advanced Python Concepts
◼ List & Dictionary Comprehensions
◼ Generators & Iterators
◼ Decorators
📌 7. Essential Libraries
◼ NumPy (Arrays & Computations)
◼ Pandas (Data Analysis)
◼ Matplotlib & Seaborn (Visualization)
📌 8. Web Development & APIs
◼ Web Scraping (BeautifulSoup, Scrapy)
◼ API Integration (Requests)
◼ Flask & Django (Backend Development)
📌 9. Automation & Scripting
◼ Automating Tasks with Python
◼ Working with Selenium & PyAutoGUI
📌 10. Data Science & Machine Learning
◼ Data Cleaning & Preprocessing
◼ Scikit-Learn (ML Algorithms)
◼ TensorFlow & PyTorch (Deep Learning)
📌 11. Projects
◼ Build Real-World Applications
◼ Showcase on GitHub
📌 12. ✅ Apply for Jobs
◼ Strengthen Resume & Portfolio
◼ Prepare for Technical Interviews
Like for more ❤️💪
❤4