THE BEARDED ENGINEER
رفتن به کانال در Telegram
⭐ Follow on Instagram: https://www.instagram.com/thebearded.engineer/profilecard/?igsh=MzBlZmpxZnE2bm81
نمایش بیشتر📈 تحلیل کانال تلگرام THE BEARDED ENGINEER
کانال THE BEARDED ENGINEER (@thebeardedengineer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 24 940 مشترک است و جایگاه 5 194 را در دسته فناوری و برنامه‌ها و رتبه 16 254 را در منطقه الهند دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 24 940 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 06 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -415 و در ۲۴ ساعت گذشته برابر -14 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 0% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 0 بازدید دریافت می‌کند. در اولین روز معمولاً 0 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 0 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند github, perk, developer, q&a, stack تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“⭐ Follow on Instagram:
https://www.instagram.com/thebearded.engineer/profilecard/?igsh=MzBlZmpxZnE2bm81”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 07 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.
24 940
مشترکین
-1424 ساعت
-937 روز
-41530 روز
آرشیو پست ها
24 931
If you build even ONE of these API projects, you're ahead of 90% of beginners 🔥
24 931
🚨 FREE Cloud DevOps Online Training From HCl Guvi🚨
✨ What You’ll Learn:
✔️ AI-Powered DevOps & Automation
✔️ AWS, Azure & GCP (Multi-Cloud Skills)
✔️ Kubernetes, Serverless & Infrastructure as Code (IaC)
✔️ DevSecOps & Platform Engineering
✔️ Clear Career Roadmap + Live Q&A
📅 Date: Jan 03, 2026
🕖 Time: 7:00 PM | ⏱️ 90 mins | 🌐 English
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Students | Freshers | IT & Non-IT Professionals | Developers
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https://bit.ly/49zvy9P
⚠️ Don’t wait. Skills decide salary in 2026.
24 931
Websites That Makes You Better at Programming 🔥
1️⃣ Gamified way to learn Python, DSA, Git.
https://www.codedex.io/
2️⃣ Master Full-Stack development.
https://www.theodinproject.com/
3️⃣ Full 12Hr courses for each programming languages.
https://www.youtube.com/@BroCodez
4️⃣ Full courses for real-world programming subjects.
https://www.sololearn.com/en/
5️⃣ Learn any programming language with practice.
https://www.w3schools.com/
6️⃣ Practice data structures and technical interview prep.
https://leetcode.com/problemset/
7️⃣ Full hands-on programming courses.
https://codefinity.com/
24 931
Happy New Year Everyone! 🥳🎉
Wishing everyone success and happiness this year 😌✨
24 931
🚀 Crack Tech Interviews Faster!
All-in-One Tech Interview Prep Bundle to revise smartly & get interview-ready 👨💻👩💻
🔥 Includes:
✅ Python, Java, DSA Q&A
✅ 400+ JavaScript (with code)
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✅ OS, OOPs, Core CS & HR
✅ Google Q&A + TCS NQT Papers
📚 BONUS: Topper Handwritten Notes
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🔗 https://tinyurl.com/433ehyye
24 931
If you can build even one of these APls, your fundamentals will get stronger 💪
24 931
The GitHub Repo That Teaches You Real Engineering Skills 🔥
Build DB, Compilers, Bot and many more..!
https://github.com/codecrafters-io/build-your-own-x
24 931
If you want to learn AI and ML from the very beginning to an advanced level, these 5 Stanford courses are the best:
1️⃣ CS221 – Artificial Intelligence
https://youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX
2️⃣ CS229 – Machine Learning
https://youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU
3️⃣ CS230 – Deep Learning
https://youtube.com/playlist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X
4️⃣ CS234 – Reinforcement Learning
https://youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX
5️⃣ CS336 – Large Language Models
https://youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_
Doing these courses at Stanford normally costs a lot of money. But the good news is that all of them are available free on YouTube.
24 931
10 Things Every Beginner Developer Should Learn: 👨🏾💻👇
How to Google effectively?
How to read documentation?
How to use Git/GitHub?
How to debug your own code?
How to write clean functions?
How to break problems down?
How to work with APIs?
How to ask smart questions?
How to manage burnout?
How to stay curious?
It’s not about speed. It’s about building real skill.
Which of the above you do very well?
24 931
1️⃣ Machine Learning Engineer
(ML + Deployment + MLOps)
GitHub:
https://github.com/DataTalksClub/mlops-zoomcamp
What this project is:
End-to-end ML workflow with:
• Feature engineering, model training
• ML pipelines + experiment tracking
• Model deployment + monitoring
• Perfect for ML job interviews
Stack: Python, Scikit-Learn, Airflow, Prefect, MLflow, Docker, FastAPI
2️⃣ Cybersecurity (Pentesting + Red Team + Exploits)
GitHub:
https://github.com/OWASP/masvs
What this project is:
“Mobile App Security Verification”
• Vulnerability testing guides
• Secure coding practices
• Industry-accepted standard
Stack: Security frameworks, Pentesting tools, Mobile App Security
3️⃣ DevOps / SRE (CI/CD + Kubernetes + Infra Automation)
GitHub:
https://github.com/kelseyhightower/kubernetes-the-hard-way
What this project is:
A real hands-on project where you:
• Deploy Kubernetes cluster manually
• Implement networking, security, TLS
• Learn infra the way real SREs do
Stack: Kubernetes, Cloud (GCP), Linux Containers, Networking, Security
24 931
No company will be able to reject you if you add these 5 skills to your resume 🔥
1. Microsoft: Python for Beginners:
https://learn.microsoft.com/en-us/shows/intro-to-python-development/?wt.mc_id=python-c9-niner
2. Microsoft: Introduction to AI in Azure:
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
3. AWS: Cloud computing:
https://skillbuilder.aws/learn/94T2BEN85A/aws-cloud-practitioner-essentials/8D79F3AVR7
4. IBM: Data Science:
https://skillsbuild.org/students/course-catalog/data-science
5. Infosys: Springboard:
https://infyspringboard.onwingspan.com/web/en/login#iss=https://infyspringboard.onwingspan.com/auth/realms/infyspringboard
24 931
12-Week Python Roadmap 🐍
Week 1 – Python Basics
Week 2 – Control Flow
Week 3 – Data Structures I (Lists & Tuples)
Week 4 – Data Structures II (Dictionaries & Sets)
Week 5 – Functions
Week 6 – File Handling
Week 7 – Error Handling & Debugging
Week 8 – Object-Oriented Programming (OOP)
Week 9 – Modules & Packages
Week 10 – APIs
Week 11 – Data Analysis with Pandas
Week 12 – Capstone Project 🤘
24 931
AWS Cloud Developer Roadmap: 2026 Edition ☁️
Stage 1 – Cloud Basics
Stage 2 – AWS Core Services (EC2, S3, RDS)
Stage 3 – IAM (Identity & Access Management)
Stage 4 – Networking (VPC, Route 53)
Stage 5 – Databases (DynamoDB, Aurora)
Stage 6 – Lambda & Serverless
Stage 7 – Monitoring (CloudWatch)
Stage 8 – Security & Compliance
Stage 9 – Deployment (CI/CD Pipelines)
🏆 AWS Cloud Developer 🏆
24 931
🚀 FREE AI Access + AI Project Opportunity
Agent ai × HackerEarth Challenge is now open.
✓ OpenAI, Claude, DeepSeek — FREE
✓ Build your own AI agent (no coding)
✓ Students & freshers eligible
✓ Perfect for resume/projects
✓ Prizes + certifications
Register here:
👉 https://tinyurl.com/my9hduvx
24 931
JavaScript Full Stack Developer Roadmap: 2026 Edition 📚
Stage 1 – HTML
Stage 2 – CSS
Stage 3 – JavaScript (ES6+)
Stage 4 – Git + GitHub
Stage 5 – Node.js
Stage 6 – Express.js
Stage 7 – REST APIs
Stage 8 – MongoDB / PostgreSQL
Stage 9 – React.js
Stage 10 – Build Full Stack Project
Stage 11 – Testing (Jest, Mocha)
Stage 12 – Deployment (Vercel / AWS)
🏆 JavaScript Full Stack Developer 🏆
24 931
Basic Skills to Build Before Advanced Topics:
- Learn SQL before ORM.
- Learn Git before Jenkins.
- Learn SQL before NoSQL.
- Learn CSS before Tailwind.
- Learn Linux before Docker.
- Learn Solidity before dApps.
- Learn English before Python.
- Learn REST before GraphQL.
- Learn JavaScript before React.
- Learn HTML before JavaScript
- Learn React before Microfrontends.
- Learn Containers before Kubernetes.
- Learn Monolith before Microservices.
- Learn Data Structures before Leetcode.
- Learn Networking before Cloud Services.
- Learn Monolith before Modular Monolith.
- Learn to draw Flowcharts before writing Code.
