Artificial Intelligence & ChatGPT Prompts
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data
نمایش بیشتر📈 تحلیل کانال تلگرام Artificial Intelligence & ChatGPT Prompts
کانال Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 42 086 مشترک است و جایگاه 3 176 را در دسته فناوری و برنامهها و رتبه 9 004 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 42 086 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -163 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.46% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.59% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 036 بازدید دریافت میکند. در اولین روز معمولاً 250 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 3 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, algorithm, detection, llm, pattern تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“🔓Unlock Your Coding Potential with ChatGPT
🚀 Your Ultimate Guide to Ace Coding Interviews!
💻 Coding tips, practice questions, and expert advice to land your dream tech job.
For Promotions: @love_data”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 اکتبر, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
در حال بارگذاری دادهها
| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 26 اکتبر | +4 | |||
| 25 اکتبر | +3 | |||
| 24 اکتبر | 0 | |||
| 23 اکتبر | 0 | |||
| 22 اکتبر | +9 | |||
| 21 اکتبر | 0 | |||
| 20 اکتبر | +2 | |||
| 19 اکتبر | 0 | |||
| 18 اکتبر | 0 | |||
| 17 اکتبر | 0 | |||
| 16 اکتبر | +6 | |||
| 15 اکتبر | 0 | |||
| 14 اکتبر | +1 | |||
| 13 اکتبر | +5 | |||
| 12 اکتبر | 0 | |||
| 11 اکتبر | 0 | |||
| 10 اکتبر | +6 | |||
| 09 اکتبر | 0 | |||
| 08 اکتبر | 0 | |||
| 07 اکتبر | +15 | |||
| 06 اکتبر | +4 | |||
| 05 اکتبر | +3 | |||
| 04 اکتبر | +9 | |||
| 03 اکتبر | +2 | |||
| 02 اکتبر | +4 | |||
| 01 اکتبر | +1 |
| 2 | 🚀𝗠𝗔𝗦𝗧𝗘𝗥 𝗘𝗫𝗖𝗘𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲! 📊
Discover 4 FREE Websites to learn Microsoft Excel from beginner to advanced level! 🎓
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⚡ One powerful skill can open doors to multiple career opportunities! | 460 |
| 3 | HERE ARE 10 FREE AI AGENTS THAT COULD WORK 24x7 FOR YOU.
↳ AutoGPT (175K+ stars):
🔗 http://github.com/Significant-Gravitas/AutoGPT
The repo that started the entire AI agent movement. Build, deploy, and run autonomous AI agents.
↳ LangChain (137K+ stars):
🔗 http://github.com/langchain-ai/langchain
The most popular framework for building LLM-powered apps, chains, and agents.
↳ Dify (136K+ stars):
🔗 http://github.com/langgenius/dify
Production-ready platform to build, deploy, and manage AI agents and workflows visually.
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Drag and drop visual builder for AI agents and RAG pipelines. No heavy coding required.
↳ n8n (180K+ stars):
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Open source workflow automation with native AI agent nodes and 400+ integrations.
↳ Open WebUI (138K+ stars):
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Self-hosted ChatGPT-style interface with built-in agent and RAG capabilities.
↳ MetaGPT (46K+ stars):
🔗 http://github.com/geekan/MetaGPT
Multi-agent framework where agents take on roles like PM, architect, and engineer to build software together.
↳ CrewAI (30K+ stars):
🔗 http://github.com/crewAIInc/crewAI
Build teams of AI agents that collaborate on complex multi-step tasks with defined roles.
↳ AutoGen (40K+ stars):
🔗 http://github.com/microsoft/autogen
Microsoft's framework for building multi-agent conversational systems. Used in enterprise production.
↳ Mem0 (52K+ stars):
🔗 http://github.com/mem0ai/mem0
The memory layer for AI agents. Gives your agents persistent memory across sessions so they never start from scratch.
React ❤️ For More | 585 |
| 4 | 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 📊
Build a strong foundation in Data Science .Explore Machine Learning and Deep Learning
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🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
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📢 Share this opportunity with your friends and classmates. | 594 |
| 5 | 𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻
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🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:-
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⚡ Your Data Science journey can start today — completely FREE! | 683 |
| 6 | 𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻
✅ 100% FREE Learning Resources
✅ Beginner-Friendly Tutorials
✅ Self-Paced Learning
✅ Practical Skills for Real-World Projects
✅ Useful for Data Analytics & Data Science Career Preparation
🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:-
https://pdlink.in/4k6ylNq
⚡ Your Data Science journey can start today — completely FREE! | 1 |
| 7 | ✅ Git Basics You Should Know 🛠️📁
Git is a version control system used to track changes in your code, collaborate with others, and manage project history efficiently.
1️⃣ What is Git?
Git lets you save snapshots of your code, go back to previous versions, and collaborate with teams without overwriting each other’s work. 📸
2️⃣ Install & Setup Git
git --version # Check if Git is installed
git config --global user.name "Your Name"
git config --global user.email "you@example.com"
3️⃣ Initialize a Repository
git init # Start a new local Git repo 🚀
4️⃣ Basic Workflow
git add . # Stage all changes ➕
git commit -m "Message" # Save a snapshot 💾
git push # Push to remote (like GitHub) ☁️
5️⃣ Check Status & History
git status # See current changes 🚦
git log # View commit history 📜
6️⃣ Clone a Repo
git clone https://github.com/username/repo.git 👯
7️⃣ Branching
git branch feature-x # Create a branch 🌳
git checkout feature-x # Switch to it ↔️
git merge feature-x # Merge with main branch 🤝
8️⃣ Undo Mistakes ↩️
git checkout -- file.txt # Discard changes
git reset HEAD~1 # Undo last commit (local)
git revert <commit_id> # Revert commit (safe)
9️⃣ Working with GitHub
– Create repo on GitHub ✨
– Link local repo:
git remote add origin <repo_url>
git push -u origin main
🔟 Git Best Practices
– Commit often with clear messages ✅
– Use branches for features/bugs 💡
– Pull before push 🔄
– Never commit sensitive data 🔒
💡 Tip: Use GitHub Desktop or VS Code Git UI if CLI feels hard at first.
💬 Tap ❤️ for more! | 655 |
| 8 | 𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗜𝗖𝗥𝗢-𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲! 🎓
✅ 100% FREE Learning Experience
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🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼-𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀👇:-
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⚡ Don't wait for your first job to start gaining practical experience! | 590 |
| 9 | 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
✅ 100% FREE YouTube Learning
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✅ Build a Strong Foundation for Coding Interviews
🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇:-
https://pdlink.in/3WcuMvi
⚡ Your coding journey can start today—completely FREE! | 648 |
| 10 | 𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Explore IBM Cognitive Class and build in-demand tech skills without spending money on course fees!
📚 𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗘𝘅𝗽𝗹𝗼𝗿𝗲:-
💫 Artificial Intelligence & Machine Learning
🔥Python for Data Science
📊 Data Science Fundamentals
☁️ Cloud Computing & Big Data
🔗 𝗦𝘁𝗮𝗿𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗛𝗲𝗿𝗲 👇
https://pdlink.in/4zGswuX
📲 Save & Share with friends preparing for tech careers! 🔥 | 701 |
| 11 | 𝗗𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗔𝗜😍
Future Ready Data Science and AI Skills You Build
->Build Python, Machine Learning, and AI Skills
->Get Mentored by Industry Experts
->Practice with Mock Interviews
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🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :-
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📲 Save & Share with Friends Preparing for Data Science & AI Jobs! | 742 |
| 12 | Let's now understand the above Data Analyst Roadmap in detail: 🧠↗️
1️⃣ Learn Excel ⭐️
The foundation of data analysis. Learn formulas, pivot tables, charts, VLOOKUP/XLOOKUP, and conditional formatting. It helps in quick data cleaning and presenting insights.
Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i
2️⃣ Learn SQL 💻
Essential for working with databases. Focus on SELECT, JOIN, GROUP BY, WHERE, and subqueries to extract and manipulate data from relational databases.
SQL Resources: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
3️⃣ Learn Python 📱
A powerful tool for data manipulation and automation. Master libraries like pandas, numpy, matplotlib, and seaborn for data cleaning and visualization.
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
4️⃣ Learn Power BI / Tableau 📈
These tools help create interactive dashboards and visual reports. Learn how to import data, create filters, use DAX (Power BI), and design clear visualizations.
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
5️⃣ Learn Statistics & Probability 🛍
Know about descriptive stats (mean, median, mode), inferential stats, distributions, hypothesis testing, and correlation. Vital for making sense of data trends.
Statistics Resources: https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O
6️⃣ Learn Data Transformation 📈
Learn how to clean, shape, and prepare data for analysis. Use Python (pandas) or Power Query in Power BI, and understand ETL (Extract, Transform, Load) processes.
Data Cleaning: https://whatsapp.com/channel/0029VarxgFqATRSpdUeHUA27
7️⃣ Learn Machine Learning 🧠
Understand basic concepts like regression, classification, clustering, and decision trees. You don’t need to be an ML expert, just grasp how models work and when to use them.
Machine Learning: https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
8️⃣ Build Projects & Portfolio 🏹
Apply what you’ve learned to real datasets—like sales analysis, churn prediction, or dashboard creation. Showcase your work on GitHub or a personal website.
Data Analytics Projects: https://whatsapp.com/channel/0029VbAbnvPLSmbeFYNdNA29
9️⃣ Apply for Jobs 💼
With your skills and portfolio in place, start applying for data analyst roles. Tailor your resume using keywords from job descriptions and prepare to answer SQL and Excel tasks in interviews.
Jobs & Internship Opportunities: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Share with credits: https://t.me/sqlspecialist
Double Tap ♥️ for more | 709 |
| 13 | 𝗧𝗢𝗣 𝗙𝗥𝗘𝗘 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝗧𝗢 𝗕𝗢𝗢𝗦𝗧 𝗬𝗢𝗨𝗥 𝗦𝗞𝗜𝗟𝗟𝗦 𝗜𝗡 𝟮𝟬𝟮𝟲!
Explore FREE online learning resources to develop in-demand skills and improve your career opportunities!
🎓 Why Explore These Courses?
✅ Learn valuable professional skills
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✅ Build practical knowledge
✅ Learn at your own pace
𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗛𝗲𝗿𝗲👇
https://pdlink.in/3VBdt6V
💡 Learn New Skills → Build Confidence → Unlock Career Opportunities! | 896 |
| 14 | 🚀 𝗪𝗵𝗶𝗰𝗵 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹 𝗪𝗶𝗹𝗹 𝗬𝗼𝘂 𝗠𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟲?
Want to build apps, uncover insights, or create AI solutions? Explore certification courses that match your career goals! 🎯
💻 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
👉 https://pdlink.in/3SuUeuD
📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀
👉 https://pdlink.in/45vk5ph
💫𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴
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🔥 Choose your path, sharpen your skills, and take the next step towards your tech career!
📌 Save this post & share it with a friend planning to upskill. | 1 004 |
| 15 | Let's now understand the above Data Analyst Roadmap in detail: 🧠↗️
1️⃣ Learn Excel ⭐️
The foundation of data analysis. Learn formulas, pivot tables, charts, VLOOKUP/XLOOKUP, and conditional formatting. It helps in quick data cleaning and presenting insights.
Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i
2️⃣ Learn SQL 💻
Essential for working with databases. Focus on SELECT, JOIN, GROUP BY, WHERE, and subqueries to extract and manipulate data from relational databases.
SQL Resources: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
3️⃣ Learn Python 📱
A powerful tool for data manipulation and automation. Master libraries like pandas, numpy, matplotlib, and seaborn for data cleaning and visualization.
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
4️⃣ Learn Power BI / Tableau 📈
These tools help create interactive dashboards and visual reports. Learn how to import data, create filters, use DAX (Power BI), and design clear visualizations.
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
5️⃣ Learn Statistics & Probability 🛍
Know about descriptive stats (mean, median, mode), inferential stats, distributions, hypothesis testing, and correlation. Vital for making sense of data trends.
Statistics Resources: https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O
6️⃣ Learn Data Transformation 📈
Learn how to clean, shape, and prepare data for analysis. Use Python (pandas) or Power Query in Power BI, and understand ETL (Extract, Transform, Load) processes.
Data Cleaning: https://whatsapp.com/channel/0029VarxgFqATRSpdUeHUA27
7️⃣ Learn Machine Learning 🧠
Understand basic concepts like regression, classification, clustering, and decision trees. You don’t need to be an ML expert, just grasp how models work and when to use them.
Machine Learning: https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
8️⃣ Build Projects & Portfolio 🏹
Apply what you’ve learned to real datasets—like sales analysis, churn prediction, or dashboard creation. Showcase your work on GitHub or a personal website.
Data Analytics Projects: https://whatsapp.com/channel/0029VbAbnvPLSmbeFYNdNA29
9️⃣ Apply for Jobs 💼
With your skills and portfolio in place, start applying for data analyst roles. Tailor your resume using keywords from job descriptions and prepare to answer SQL and Excel tasks in interviews.
Jobs & Internship Opportunities: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Share with credits: https://t.me/sqlspecialist
Double Tap ♥️ for more | 1 158 |
| 16 | 🇮🇳 𝗚𝗢𝗩𝗘𝗥𝗡𝗠𝗘𝗡𝗧 𝗢𝗙 𝗜𝗡𝗗𝗜𝗔 — 𝗔𝗜𝗖𝗧𝗘 𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲 🚀
Students and freshers can explore internship opportunities through the AICTE Internship Portal across multiple domains:
💻 AI, Data Science & Web Development
📈 Digital Marketing & Business Development
💰 Finance & Accounting
✍️ Content Writing & Graphic Design
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| 20 | Frontend vs Backend Developer ✅ | 1 533 |
