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We provide unlimited Courses with CERTIFICATE to learn Python, Data Science, Java, Web development, AI, App development, ML, Finance, Hacking, Marketing, Blogging and many more from top websites
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Recent Channel Posts
Learn for free ✅
HTML — https://www.w3schools.com/html
CSS — http://CSS-tricks.com
JavaScript — http://LearnJavaScript.online
DSA --- https://t.me/dsabooks/21
Git, GitHub -- http://LearnGitBranching.js.org
React — http://React-tutorial.app
API — http://RapidAPI.com/comics
SQL — http://SQLbolt.com
Python -- https://t.me/pythondevelopersindia/76
Data Science -- https://t.me/datalemur
PHP --- https://bit.ly/3QkY3wW
ML -- https://developers.google.com/machine-learning/crash-course
ChatGPT -- https://t.me/aisigma
AI -- http://microsoft.github.io/AI-For-Beginners
ENJOY LEARNING 👍👍
1548
04:19
21.04.2025
Free Courses/ Certifications for a full-stack career in 2025:
1. Web design https://freecodecamp.org/learn/2022/responsive-web-design/
2. JavaScript https://freecodecamp.org/learn/javascript-algorithms-and-data-structures/
https://bit.ly/3PI8JWB
3. Front-end libraries https://freecodecamp.org/learn/front-end-development-libraries/
5. Back-end and APIs
https://freecodecamp.org/learn/back-end-development-and-apis/
6. Databases
https://freecodecamp.org/learn/relational-database/
7. Full Stack Web Development Bootcamp
https://t.me/webdevcoursefree/461
Join @free4unow_backup for more free resources
ENJOY LEARNING 👍👍
2102
15:59
20.04.2025
Useful websites to practice and enhance your data analytics skills
👇👇
1. Python
http://learnpython.org
2. SQL
https://www.sql-practice.com/
3. Excel
https://excel-practice-online.com/
4. Power BI
https://www.workout-wednesday.com/power-bi-challenges/
5. Quiz and Interview Questions
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Haven't shared lot of resources to avoid too much distraction
Just focus on the basics, practice learnings and work on building projects to improve your skills.
Thats the best way to learn in my opinion 😄
Join @free4unow_backup for more free courses
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2294
11:06
20.04.2025
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Call for papers on AI to AI Journey* conference journal has started!
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3095
11:17
18.04.2025
🌟 Step-by-Step Guide to Become a Python Developer in 2025 🌟
1. Master the Basics
🐍 Python Syntax & Data Types: Learn variables, strings, lists, tuples, dictionaries, and more.
🔁 Control Flow: Use if, else, for, and while like a logic ninja.
2. Work with Functions & Modules
🧠 Break your code into reusable chunks with functions.
📦 Explore Python’s rich standard library for powerful built-in tools.
3. Object-Oriented Programming (OOP)
🧱 Learn about Classes and Objects: Build scalable, reusable code like a pro architect.
♻️ Understand inheritance, polymorphism, encapsulation, and abstraction.
4. Explore Popular Python Libraries
📊 Pandas, NumPy for data analysis.
📈 Matplotlib, Seaborn for visualizations.
🧪 Requests, BeautifulSoup, Selenium for web scraping.
5. Database Interaction
🗄 Connect Python to databases using SQLite, MySQL, or PostgreSQL.
🔍 Learn how to read, write, and manipulate data.
6. Version Control & Collaboration
🔄 Master Git & GitHub: Collaborate, manage code history, and work on real-world projects.
7. Web Development with Python
🌐 Build web apps using Flask or Django.
✨ Learn about routing, templates, and backend logic.
8. Automate Everything!
🤖 Write scripts to automate boring tasks: Rename files, send emails, scrape websites, etc.
🗓 Use Python for scheduling and workflow efficiency.
9. Testing and Debugging
🧪 Learn unit testing with unittest or pytest.
🐞 Become a debugging wizard using breakpoints and pdb.
10. Build Real Projects
🏗 Start small: To-Do apps, calculators, web scrapers.
🚀 Level up: Build dashboards, chatbots, or portfolio websites.
11. Specialize
🧠 Go into Data Science, Web Development, Automation, Machine Learning, or APIs — based on what excites you most.
12. Network and Grow
🤝 Join dev communities: Discord, Reddit, GitHub, LinkedIn.
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Best Resource to learn Python
Python Interview Questions with Answers
Python Mini Projects
Freecodecamp Python ML Course with FREE Certificate
Python for Data Analysis
Python course for beginners by Microsoft
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3070
15:12
17.04.2025
Want to build your first AI agent?
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3447
06:23
16.04.2025
Game Development Roadmap
|
| |-- Fundamentals
| |-- Introduction to Game Development
| | |-- Types of Games (2D, 3D, Mobile, VR)
| | |-- Game Development Life Cycle
| |-- Game Design Basics
| | |-- Game Mechanics
| | |-- Storytelling in Games
| | |-- User Experience (UX) in Games
|
|-- Game Engines
| |-- Unity
| | |-- Understanding the Interface
| | |-- Scripting with C#
| | |-- Physics and Animation
| |-- Unreal Engine
| | |-- Understanding Blueprints
| | |-- C++ Programming
| |-- Godot
| | |-- Game Scene Development
| | |-- GDScript Basics
|
|-- Game Programming
| |-- Programming Languages
| | |-- C++ (Unreal Engine)
| | |-- C# (Unity)
| | |-- Python (Prototyping and Scripting)
| |-- Game Loop and Event Handling
| | |-- Game State Management
| | |-- Input Handling (Keyboard, Mouse, Touch, etc.)
|
|-- 2D Game Development
| |-- Game Mechanics for 2D
| | |-- Collision Detection
| | |-- Physics Simulation
| | |-- Movement and Animation
| |-- Graphics and Art
| | |-- Sprite Animation
| | |-- Tile-based Level Design
|
|-- 3D Game Development
| |-- 3D Modeling and Animation
| | |-- Using Blender for 3D Assets
| | |-- Rigging and Skinning
| |-- 3D Physics
| | |-- Rigidbody Dynamics
| | |-- Collisions in 3D Space
| |-- Camera Systems
| | |-- First-person and Third-person Cameras
| | |-- Camera Interpolation and Smoothness
|
|-- Game Audio
| |-- Sound Effects
| | |-- Creating and Implementing SFX
| | |-- Audio Design in Games
| |-- Background Music
| | |-- Dynamic Soundtracks
| | |-- Adaptive Music for Game Events
|
|-- Artificial Intelligence in Games
| |-- AI for NPCs
| | |-- Pathfinding (A* Algorithm)
| | |-- State Machines and Behavior Trees
| |-- Procedural Content Generation
| |-- AI for Opponents
| | |-- Combat AI
| | |-- Strategy AI
|
|-- Multiplayer Game Development
| |-- Networking Basics
| | |-- Client-Server Architecture
| | |-- Real-time Multiplayer Games
| |-- Matchmaking and Server Architecture
| | |-- Peer-to-peer Networking
| | |-- Dedicated Servers
|
|-- Game Monetization
| |-- In-App Purchases
| | |-- Virtual Goods and Currency
| | |-- Ad Integration
| |-- Game Distribution
| | |-- Steam, Epic Games Store, and App Stores
| | |-- Publishing and Marketing Strategies
|
|-- Virtual Reality (VR) and Augmented Reality (AR) Development
| |-- VR/AR Basics
| | |-- Oculus Rift and HTC Vive Development
| | |-- Unity/Unreal for VR/AR
| |-- Interaction Design for VR/AR
| | |-- Hand Tracking and Gesture Recognition
| | |-- Immersive Environment Design
|
|-- Game Testing and Debugging
| |-- Quality Assurance (QA)
| | |-- Playtesting and Feedback
| | |-- Bug Tracking and Fixing
| |-- Performance Optimization
| | |-- Reducing Load Times and Memory Usage
| | |-- Frame Rate Optimization
|
|-- Game Publishing and Marketing
| |-- Game Release Strategies
| | |-- Early Access and Beta Testing
| | |-- Launch Planning and Publicity
| |-- Community Engagement
| | |-- Building a Player Community
| | |-- Social Media and Influencer Marketing
React with ♥️ if you also want free resources on this topic
#freecourses
4200
11:56
13.04.2025
Glad to see the amazing response
I have curated the following free resources to learn AI Agents:
https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/
https://imp.i384100.net/mOjd5y
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
https://github.com/microsoft/ai-agents-for-beginners
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
https://t.me/machinelearning_deeplearning/910
https://imp.i384100.net/qzmd4q
Join @free4unow_backup for more free courses
ENJOY LEARNING 👍👍
3534
07:16
13.04.2025
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1923
04:22
13.04.2025
Step-by-Step Approach to Learn AI Agents
➊ Understand What AI Agents Are → Autonomous systems that can perceive, reason, and act
↓
➋ Master the Basics → Python, Data Structures, APIs, and JSON handling
↓
➌ Explore LLMs as Agents → Understand how GPT, Claude, or Gemini can act as reasoning agents
↓
➍ Tool Use & Function Calling → Learn how agents use tools, call APIs, and perform tasks dynamically
↓
➎ Agent Frameworks →
LangChain: For chaining LLM calls and memory
AutoGen / Autogen Studio: For multi-agent collaboration
Haystack: For document question answering
↓
➏ Memory & Persistence → Vector databases (e.g., FAISS, Chroma, Pinecone) for long-term memory
↓
➐ Planning & Reasoning → ReAct, CoT (Chain-of-Thought), and Tree of Thought prompting
↓
➑ Build & Deploy AI Agents →
Personal assistants
Customer support bots
Research agents
Coding copilots
React with ♥️ if you also want free resources on this topic
#freecourses
3401
18:07
12.04.2025
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