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Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓

Here are 8 FREE courses to master AI in 2024:

1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118

2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/

3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

4. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

5. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/

Data Science Roadmap
|
|-- Core Foundations
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus Basics
| | |-- Probability
| | |-- Statistics
| |
| |-- Programming
| | |-- Python
| | | |-- NumPy
| | | |-- Pandas
| | | |-- Matplotlib
| | | |-- Seaborn
| | |-- R
| | |-- SQL
|
|-- Data Handling
| |-- Data Collection
| | |-- APIs
| | |-- Web Scraping
| | |-- Database Queries
| |
| |-- Data Cleaning
| | |-- Missing Values
| | |-- Outliers
| | |-- Feature Scaling
| | |-- Encoding
|
|-- Exploratory Data Analysis
| |-- Summary Statistics
| |-- Univariate Analysis
| |-- Bivariate Analysis
| |-- Visualizations
| |-- Correlation Checks
|
|-- Machine Learning
| |-- Supervised Learning
| | |-- Regression
| | |-- Classification
| |
| |-- Unsupervised Learning
| | |-- Clustering
| | |-- PCA
| |
| |-- Model Selection
| | |-- Train Test Split
| | |-- Cross Validation
| | |-- Hyperparameter Tuning
|
|-- Advanced Machine Learning
| |-- Ensemble Methods
| | |-- Random Forest
| | |-- XGBoost
| | |-- LightGBM
| |
| |-- Time Series
| | |-- ARIMA
| | |-- LSTM
| |
| |-- NLP
| | |-- Text Preprocessing
| | |-- TF IDF
| | |-- Word Embeddings
| |
| |-- Deep Learning
| | |-- Neural Networks
| | |-- CNN
| | |-- RNN
| | |-- Transformers
|
|-- Big Data
| |-- PySpark
| |-- Hadoop
| |-- Distributed Processing
|
|-- Model Deployment
| |-- Flask
| |-- FastAPI
| |-- Streamlit
| |-- Docker
| |-- Cloud Deployment
|
|-- MLOps
| |-- Experiment Tracking
| |-- Model Monitoring
| |-- CI CD
|
|-- Domain Knowledge
| |-- Finance
| |-- Healthcare
| |-- Retail
| |-- Marketing
|
|-- Ethics
| |-- Bias
| |-- Interpretability
| |-- Fairness

Free Resources to learn Data Science 👇👇

Python
• https://t.me/pythonproz
• https://www.learnpython.org/
• https://pythonprogramming.net
• https://pandas.pydata.org/docs/

Statistics
• https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O
• https://www.khanacademy.org/math/statistics-probability
• https://statquest.org

Machine Learning
• https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
• https://t.me/datasciencefree
• https://scikit-learn.org/stable/tutorial
• https://www.freecodecamp.org/learn/machine-learning-with-python
• https://course.fast.ai

Deep Learning
• https://www.deeplearning.ai
• https://playground.tensorflow.org

Data Visualization
• https://matplotlib.org/stable/tutorials
• https://whatsapp.com/channel/0029VaxaFzoEQIaujB31SO34
• https://seaborn.pydata.org/tutorial.html

SQL
• https://mode.com/sql-tutorial/introduction-to-sql
• https://t.me/mysqldata

Big Data
• https://spark.apache.org/docs/latest
• https://hadoop.apache.org

Deployment
• https://docs.streamlit.io
• https://fastapi.tiangolo.com

Like for more ❤️

ENJOY LEARNING 👍👍

Top 21 skills to learn this year 👇

1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications.
2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems.
3. Cybersecurity: Protecting data and systems from cyber threats.
4. Cloud Computing: Proficiency in platforms like AWS, Azure, and Google Cloud.
5. Blockchain Technology: Understanding blockchain architecture and applications beyond cryptocurrencies.
6. Digital Marketing: Expertise in SEO, social media, and online advertising.
7. Programming: Skills in languages such as Python, JavaScript, and Go.
8. UX/UI Design: Creating intuitive and effective user interfaces and experiences.
9. Consulting: Expertise in providing strategic advice, improving business processes, and implementing solutions to drive business growth.
10. Data Analysis and Visualization: Proficiency in tools like Excel, SQL, Tableau, and Power BI to analyze and present data effectively.
11. Business Analysis & Project Management: Using tools and methodologies like Agile and Scrum.
12. Remote Work Tools: Proficiency in tools for remote collaboration and productivity.
13. Financial Literacy: Understanding personal finance, investment, and cryptocurrencies.
14. Emotional Intelligence: Skills in empathy, communication, and relationship management.
15. Business Acumen: A deep understanding of how businesses operate, including strategic thinking, market analysis, and financial literacy.
16. Investment Banking: Knowledge of financial markets, valuation methods, mergers and acquisitions, and financial modeling.
17. Mobile App Development: Skills in developing apps for iOS and Android using Swift, Kotlin, or React Native.
18. Financial Management: Proficiency in financial planning, analysis, and tools like QuickBooks and SAP.
19. Web Development: Proficiency in front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React, Angular, and Node.js.
20. Data Engineering: Skills in designing, building, and maintaining data pipelines and architectures using tools like Hadoop, Spark, and Kafka.
21. Soft Skills: Improving leadership, teamwork, and adaptability skills.

Join for more: 👇
https://t.me/free4unow_backup

ENJOY LEARNING 👍👍

Google Chrome has over 100K extensions. But these 5 are the most unique I discovered 👇

1/ Eightify:
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2/ Glasp:
https://chromewebstore.google.com/detail/glasp-web-highlighter-pdf/blillmbchncajnhkjfdnincfndboieik

3/ Monica:
https://chromewebstore.google.com/detail/monica-all-in-one-ai-assi/ofpnmcalabcbjgholdjcjblkibolbppb

4/ Harpa AI:
https://chromewebstore.google.com/search/HARPA%20AI

5/ Compose AI:
https://chromewebstore.google.com/search/Compose%20AI

#Ad
#AI_Models

🔥 GigaChat 3.5 Reasoning [Open-Source]

ℹ️ Overview:
New LLM that thinks before it answers. Breaks problems into stages, builds plans, checks results, and self-corrects using automated verification.

🔗 Source:
Hugging Face  fp8 | bf16

📝 Model Specs:

✪ Built on GigaChat 3.5 Ultra with multiple step-by-step reasoning paths

✪ Proprietary linear attention for efficient long contexts

✪ Token-efficient: 37% fewer tokens than DeepSeek V4 Flash Preview

✪ Benchmarks: IFBench 44→77, Natural Plan 64→80, LiveCodeBench v6 56→85

✪ MIT License

🧠 7 Resume Tips for Data Science & ML Roles 📄✅

1️⃣ Start with a Strong Summary
⦁ Highlight skills, tools, and domain experience
⦁ Mention years of experience and key achievements

2️⃣ Showcase Projects that Matter
⦁ Focus on real-world impact, not just toy datasets
⦁ Mention metrics (e.g., “Improved accuracy by 12%”)

3️⃣ Tailor for the Role
⦁ Align keywords with the job description
⦁ Use relevant tools and models mentioned in the listing

4️⃣ Highlight Tools & Techniques
⦁ Python, SQL, Pandas, Scikit-learn, TensorFlow
⦁ Also list Git, Docker, AWS if used

5️⃣ Add Business Context
⦁ Mention how your model helped reduce costs, improve conversion, etc.
⦁ Show you understand the why behind the model

6️⃣ Keep It One Page
⦁ Concise and clean layout
⦁ Use bullet points, not long paragraphs

7️⃣ Include Public Work
⦁ GitHub, blog posts, Kaggle profile
⦁ Show you build, write, and share

💬 Double tap ❤️ for more!

Web Development Roadmap
|
|-- Fundamentals
| |-- Web Basics
| | |-- Internet and HTTP/HTTPS Protocols
| | |-- Domain Names and Hosting
| | |-- Client-Server Architecture
| |
| |-- HTML (HyperText Markup Language)
| | |-- Structure of a Web Page
| | |-- Semantic HTML
| | |-- Forms and Validations
| |
| |-- CSS (Cascading Style Sheets)
| | |-- Selectors and Properties
| | |-- Box Model
| | |-- Responsive Design (Media Queries, Flexbox, Grid)
| | |-- CSS Frameworks (Bootstrap, Tailwind CSS)
| |
| |-- JavaScript (JS)
| | |-- ES6+ Features
| | |-- DOM Manipulation
| | |-- Fetch API and Promises
| | |-- Event Handling
| |
|-- Version Control Systems
| |-- Git Basics
| |-- GitHub/GitLab
| |-- Branching and Merging
|
|-- Front-End Development
| |-- Advanced JavaScript
| | |-- Modules and Classes
| | |-- Error Handling
| | |-- Asynchronous Programming (Async/Await)
| |
| |-- Frameworks and Libraries
| | |-- React (Hooks, Context API)
| | |-- Angular (Components, Services)
| | |-- Vue.js (Directives, Vue Router)
| |
| |-- State Management
| | |-- Redux
| | |-- MobX
| |
|-- Back-End Development
| |-- Server-Side Languages
| | |-- Node.js (Express.js)
| | |-- Python (Django, Flask)
| | |-- PHP (Laravel)
| | |-- Ruby (Ruby on Rails)
| |
| |-- Database Management
| | |-- SQL Databases (MySQL, PostgreSQL)
| | |-- NoSQL Databases (MongoDB, Firebase)
| |
| |-- Authentication and Authorization
| | |-- JWT (JSON Web Tokens)
| | |-- OAuth 2.0
| |
|-- APIs and Microservices
| |-- RESTful APIs
| |-- GraphQL
| |-- API Security (Rate Limiting, CORS)
|
|-- Full-Stack Development
| |-- Integrating Front-End and Back-End
| |-- MERN Stack (MongoDB, Express.js, React, Node.js)
| |-- MEAN Stack (MongoDB, Express.js, Angular, Node.js)
| |-- JAMstack (JavaScript, APIs, Markup)
|
|-- DevOps and Deployment
| |-- Build Tools (Webpack, Vite)
| |-- Containerization (Docker, Kubernetes)
| |-- CI/CD Pipelines (Jenkins, GitHub Actions)
| |-- Cloud Platforms (AWS, Azure, Google Cloud)
| |-- Hosting (Netlify, Vercel, Heroku)
|
|-- Web Performance Optimization
| |-- Minification and Compression
| |-- Lazy Loading
| |-- Code Splitting
| |-- Caching (Service Workers)
|
|-- Web Security
| |-- HTTPS and SSL
| |-- Cross-Site Scripting (XSS)
| |-- SQL Injection Prevention
| |-- Content Security Policy (CSP)
|
|-- Specializations
| |-- Progressive Web Apps (PWAs)
| |-- Single-Page Applications (SPAs)
| |-- Server-Side Rendering (Next.js, Nuxt.js)
| |-- WebAssembly
|
|-- Trends and Advanced Topics
| |-- Web 3.0 and Decentralized Apps (dApps)
| |-- Motion UI and Animations
| |-- AI Integration in Web Apps
| |-- Real-Time Applications

Web Development Resources 👇👇

Intro to HTML and CSS

Intro to Backend

Intro to JavaScript

Web Development for Beginners

Object-Oriented JavaScript

Best Web Development Resources

Join @free4unow_backup for more free resources.

ENJOY LEARNING 👍👍

✅ Web Development Basics You Should Know 🌐💡

Understanding the foundations of web development is the first step toward building websites and web apps.

1️⃣ What is Web Development?
Web development is the process of creating websites and web applications. It includes everything from a basic HTML page to full-stack apps.
Types of Web Dev:
- Frontend: What users see (HTML, CSS, JavaScript)
- Backend: Server-side logic, databases (Node.js, Python, etc.)
- Full Stack: Both frontend + backend

2️⃣ How the Web Works
When you visit a website:
- The browser (client) sends a request via HTTP
- The server processes it and sends back a response (HTML, data)
- Your browser renders it on the screen
Example: Typing www.example.com sends a request → DNS resolves IP → Server sends back the HTML → Browser displays it

3️⃣ HTML (HyperText Markup Language)
Defines the structure of web pages.

<h1>Welcome</h1>
<p>This is my first website.</p>

*4️⃣ CSS (Cascading Style Sheets)*
Adds *style* to HTML: colors, layout, fonts.

h1 {
  color: blue;
  text-align: center;
}

*5️⃣ JavaScript (JS)*
Makes the website *interactive* (buttons, forms, animations).

<button onclick="alert('Hello!')">Click Me</button>

*6️⃣ Responsive Design*
Using *media queries* to make websites mobile-friendly.

@media (max-width: 600px) {
  body {
    font-size: 14px;
  }
}

*7️⃣ DOM (Document Object Model)*
JS can interact with page content using the DOM.

document.getElementById("demo").innerText = "Changed!";

*8️⃣ Git & GitHub*
Version control to track changes and collaborate.

git init  
git add .  
git commit -m "First commit"  
git push  

*9️⃣ API (Application Programming Interface)*
APIs let you pull or send data between your app and a server.

fetch('https://api.weatherapi.com')
  .then(res => res.json())
  .then(data => console.log(data));

🔟 Hosting Your Website
You can deploy websites using platforms like Vercel, Netlify, or GitHub Pages.

💡 Once you know these basics, you can move on to frameworks like React, backend tools like Node.js, and databases like MongoDB.

💬 Tap ❤️ for more!