Coding Courses
الذهاب إلى القناة على Telegram
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إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Coding Courses
تُعد قناة Coding Courses (@coding_learning1) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 18 611 مشتركاً، محتلاً المرتبة 10 646 في فئة التعليم والمرتبة 21 831 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 18 611 مشتركاً.
بحسب آخر البيانات بتاريخ 06 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 268، وفي آخر 24 ساعة بمقدار 27، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 20.30%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 0 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل javascript, array, html, learning, recognition.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“🔴Declaimer🔴
We do not hold this content or stored in our drive, we just redirect telegram or website link where this content is already shared”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 07 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
18 611
المشتركون
+2724 ساعات
+1397 أيام
+26830 أيام
جاري تحميل البيانات...
القنوات المماثلة
سحابة العلامات
الإشارات الواردة والصادرة
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| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 07 أكتوبر | +5 | |||
| 06 أكتوبر | +27 | |||
| 05 أكتوبر | +5 | |||
| 04 أكتوبر | +20 | |||
| 03 أكتوبر | +26 | |||
| 02 أكتوبر | +14 | |||
| 01 أكتوبر | +23 |
منشورات القناة
| 2 | *🎯 HOW TO CHOOSE YOUR TECH CAREER*
If you enjoy coding:
✓ Software Engineering
✓ Backend Development
✓ Full-Stack Development
✓ Mobile Development
✓ Systems Engineering
If you enjoy AI:
✓ AI Engineering
✓ Machine Learning
✓ Generative AI
✓ NLP
✓ Computer Vision
✓ MLOps
If you enjoy data:
✓ Data Analytics
✓ Data Science
✓ Data Engineering
✓ Analytics Engineering
✓ Business Intelligence
If you enjoy infrastructure:
✓ Cloud Engineering
✓ DevOps
✓ SRE
✓ Platform Engineering
If you enjoy cybersecurity:
✓ Cybersecurity
✓ Cloud Security
✓ Application Security
✓ Penetration Testing
If you enjoy business + technology:
✓ Product Management
✓ Business Analysis
✓ Technology Consulting
✓ Technical Program Management
If you enjoy hardware:
✓ Embedded Systems
✓ Robotics
✓ IoT
✓ FPGA / VLSI
*🔥 DON'T TRY TO LEARN EVERYTHING*
You don't need to learn 40 different career paths.
Choose one primary career direction and build depth in it.
Then develop supporting skills in areas such as:
✓ AI
✓ Cloud
✓ Data
✓ Cybersecurity
✓ Automation
✓ Communication
*🚀 BUILD YOUR TECH CAREER*
Don't focus only on collecting certificates.
Focus on developing:
✓ Strong fundamentals
✓ Practical projects
✓ Problem-solving skills
✓ Communication skills
✓ Portfolio
✓ Real-world experience
✓ Business understanding
✓ AI literacy
✓ Continuous learning
💯 Choose a direction.
💯 Learn the fundamentals.
💯 Build real projects.
💯 Develop specialized skills.
💯 Keep adapting as technology evolves. | 564 |
| 3 | *2️⃣7️⃣ TECHNICAL PRODUCT MANAGER 🧠*
What you do: Combine product management with deeper technical knowledge.
Learn:
✓ APIs
✓ Databases
✓ Cloud
✓ System Architecture
✓ Analytics
✓ AI / ML Fundamentals
✓ Product Management
*2️⃣8️⃣ UI/UX DESIGNER 🎨*
What you do: Design digital products and experiences that are useful and easy to use.
Learn:
✓ Figma
✓ UX Research
✓ Wireframing
✓ Prototyping
✓ Design Systems
✓ Usability Testing
✓ Visual Design
*2️⃣9️⃣ BUSINESS / SYSTEMS ANALYST 📋*
What you do: Connect business requirements with technology solutions.
Learn:
✓ Requirements Gathering
✓ Process Mapping
✓ SQL
✓ Data Analysis
✓ Documentation
✓ Stakeholder Management
✓ Agile / Scrum
*3️⃣0️⃣ TECHNOLOGY CONSULTANT 💼*
What you do: Help organizations solve technology and digital transformation problems.
Learn:
✓ Business Analysis
✓ Technology
✓ Cloud
✓ Data
✓ AI
✓ Project Management
✓ Communication
✓ Industry Knowledge
Possible areas:
✓ Cloud Consulting
✓ Data Consulting
✓ AI Consulting
✓ Cybersecurity Consulting
✓ Technology Transformation
*3️⃣1️⃣ TECHNICAL PROGRAM / PROJECT MANAGER 📊*
What you do: Manage complex technology projects involving multiple teams.
Learn:
✓ Project Management
✓ Agile
✓ Risk Management
✓ Stakeholder Management
✓ Technology Fundamentals
✓ Communication
*3️⃣2️⃣ QA / TEST AUTOMATION ENGINEER 🧪*
What you do: Test software and build automated testing systems.
Learn:
✓ Software Testing
✓ Selenium
✓ Playwright
✓ API Testing
✓ Python
✓ Java
✓ JavaScript
✓ CI/CD
Career options:
✓ QA Engineer
✓ SDET
✓ Automation Engineer
✓ Quality Engineer
*3️⃣3️⃣ GAME DEVELOPER 🎮*
What you do: Build games using programming, graphics and game engines.
Learn:
✓ C#
✓ C++
✓ Unity
✓ Unreal Engine
✓ Game Physics
✓ 3D Mathematics
✓ Computer Graphics
✓ Game Design
*3️⃣4️⃣ COMPUTER VISION ENGINEER 👁️*
What you do: Build systems that understand images and video.
Learn:
✓ Python
✓ OpenCV
✓ Deep Learning
✓ CNNs
✓ Object Detection
✓ Image Segmentation
✓ Computer Vision
Applications include:
✓ Autonomous Vehicles
✓ Manufacturing
✓ Retail
✓ Security
✓ Healthcare
*3️⃣5️⃣ NLP / LANGUAGE AI ENGINEER 🗣️*
What you do: Build systems that process and understand human language.
Learn:
✓ Python
✓ Natural Language Processing
✓ Transformers
✓ LLMs
✓ Embeddings
✓ RAG
✓ Model Evaluation
✓ Fine-Tuning Concepts
*3️⃣6️⃣ QUANTUM COMPUTING 🚀*
What you do: Work with quantum computing technologies and algorithms.
Learn:
✓ Linear Algebra
✓ Probability
✓ Quantum Computing Fundamentals
✓ Quantum Algorithms
✓ Python
✓ Quantum SDKs
This is a specialized field that generally requires strong mathematical foundations.
*3️⃣7️⃣ CLOUD DATA ARCHITECT ☁️📊*
What you do: Design large-scale cloud-based data platforms.
Learn:
✓ Data Engineering
✓ Cloud Computing
✓ Data Warehousing
✓ Data Lakes
✓ Distributed Systems
✓ Security
✓ Architecture
*3️⃣8️⃣ ANALYTICS ENGINEER 📈*
What you do: Connect data engineering with analytics and business intelligence.
Learn:
✓ SQL
✓ Data Modeling
✓ dbt
✓ Data Warehousing
✓ Python
✓ BI Tools
✓ Version Control
*3️⃣9️⃣ AI PRODUCT MANAGER 🤖📱*
What you do: Build and manage products that use artificial intelligence.
Learn:
✓ Product Management
✓ AI / ML Fundamentals
✓ LLMs
✓ Data
✓ Experimentation
✓ AI Product Evaluation
✓ Responsible AI
*4️⃣0️⃣ TECHNICAL WRITER / DEVELOPER ADVOCATE ✍️💻*
What you do: Explain complex technology through documentation, tutorials, presentations and technical content.
Learn:
✓ Technical Writing
✓ APIs
✓ Documentation
✓ Developer Tools
✓ Public Speaking
✓ Content Creation
*💰 WHAT MAKES A TECH CAREER HIGH-PAYING?*
A job title alone doesn't determine compensation.
Factors that can influence earning potential include:
✓ Technical expertise
✓ Experience
✓ Problem-solving ability
✓ Business impact
✓ Industry knowledge
✓ Specialized skills
✓ Leadership
✓ Communication
✓ Ability to work with modern technologies
✓ Real-world project experience | 356 |
| 4 | *1️⃣1️⃣ SOLUTIONS ARCHITECT 🏗️*
What you do: Design technology solutions that meet business and technical requirements.
Learn:
✓ Software Architecture
✓ Cloud
✓ Networking
✓ Databases
✓ Security
✓ System Design
✓ Business Requirements
This is generally an experienced-level career path.
*1️⃣2️⃣ SITE RELIABILITY ENGINEER 🚦*
What you do: Improve the reliability, availability and performance of large-scale systems.
Learn:
✓ Linux
✓ Programming
✓ Cloud
✓ Kubernetes
✓ Monitoring
✓ Distributed Systems
✓ Automation
✓ Incident Management
*1️⃣3️⃣ MOBILE APP DEVELOPER 📱*
What you do: Build applications for Android and iOS devices.
Android:
✓ Kotlin
✓ Android SDK
iOS:
✓ Swift
✓ SwiftUI
Cross-platform:
✓ Flutter
✓ React Native
Career options:
✓ Android Developer
✓ iOS Developer
✓ Mobile Engineer
*1️⃣4️⃣ FRONTEND DEVELOPER 🎨*
What you do: Build the user-facing part of websites and web applications.
Learn:
✓ HTML
✓ CSS
✓ JavaScript
✓ TypeScript
✓ React
✓ Next.js
✓ APIs
✓ Git
Advanced skills:
✓ Web Performance
✓ Accessibility
✓ Web Security
✓ Design Systems
*1️⃣5️⃣ BACKEND DEVELOPER 🧩*
What you do: Build the server-side logic and infrastructure behind applications.
Learn:
✓ Python
✓ Java
✓ Node.js
✓ Go
✓ C#
✓ APIs
✓ Databases
✓ Authentication
✓ Caching
✓ Microservices
✓ System Design
*1️⃣6️⃣ BLOCKCHAIN DEVELOPER ⛓️*
What you do: Build applications and systems using blockchain technology.
Learn:
✓ Blockchain Fundamentals
✓ Cryptography
✓ Smart Contracts
✓ Solidity
✓ Web Development
✓ Distributed Systems
Career options:
✓ Blockchain Developer
✓ Smart Contract Developer
✓ Protocol Engineer
*1️⃣7️⃣ QUANTITATIVE DEVELOPER / FINTECH ENGINEER 💹*
What you do: Combine programming, mathematics, data and financial systems.
Learn:
✓ Python
✓ C++
✓ Mathematics
✓ Statistics
✓ Algorithms
✓ Financial Markets
✓ Data Analysis
✓ Low-Latency Systems
*1️⃣8️⃣ ROBOTICS ENGINEER 🤖*
What you do: Develop robots and autonomous systems.
Learn:
✓ Python
✓ C++
✓ Robotics
✓ Control Systems
✓ Sensors
✓ Computer Vision
✓ ROS
✓ Mathematics
✓ Embedded Systems
*1️⃣9️⃣ EMBEDDED SYSTEMS ENGINEER 🔌*
What you do: Develop software that runs directly on hardware devices.
Learn:
✓ C / C++
✓ Microcontrollers
✓ Electronics
✓ RTOS
✓ Embedded Linux
✓ Communication Protocols
Industries include:
✓ Automotive
✓ Aerospace
✓ Electronics
✓ Medical Devices
✓ IoT
*2️⃣0️⃣ IoT ENGINEER 🌐*
What you do: Build connected devices that communicate with other devices and cloud platforms.
Learn:
✓ Embedded Systems
✓ Sensors
✓ Networking
✓ MQTT
✓ Python
✓ C / C++
✓ Cloud
✓ Data Processing
✓ Security
*2️⃣1️⃣ FPGA / VLSI ENGINEER ⚡*
What you do: Work on digital hardware, semiconductor systems and specialized computing architectures.
Learn:
✓ Digital Electronics
✓ Verilog
✓ SystemVerilog
✓ FPGA
✓ Computer Architecture
✓ Semiconductor Fundamentals
*2️⃣2️⃣ DATABASE ENGINEER 🗄️*
What you do: Design, optimize and maintain database systems.
Learn:
✓ SQL
✓ Database Design
✓ Indexing
✓ Query Optimization
✓ Transactions
✓ Replication
✓ Backup & Recovery
✓ Cloud Databases
*2️⃣3️⃣ MLOPS ENGINEER 🔄🤖*
What you do: Deploy, monitor and maintain machine learning models in production.
Learn:
✓ Python
✓ Machine Learning
✓ Docker
✓ Kubernetes
✓ CI/CD
✓ Cloud
✓ Model Deployment
✓ Model Monitoring
✓ ML Pipelines
*2️⃣4️⃣ AI SECURITY ENGINEER 🔐🤖*
What you do: Work at the intersection of artificial intelligence and cybersecurity.
Learn:
✓ Cybersecurity
✓ AI / ML Fundamentals
✓ LLM Security
✓ Threat Modeling
✓ Application Security
✓ Cloud Security
✓ AI Risk Management
*2️⃣5️⃣ AI AUTOMATION SPECIALIST ⚡*
What you do: Use AI and automation to improve business processes and workflows.
Learn:
✓ Prompt Engineering
✓ LLM APIs
✓ Python
✓ APIs
✓ Automation Platforms
✓ Workflow Design
✓ Data Handling
✓ AI Evaluation
*2️⃣6️⃣ PRODUCT MANAGER 📱*
What you do: Define product requirements and work with technology teams to build products.
Learn:
✓ Product Management
✓ User Research
✓ Market Research
✓ Analytics
✓ Experimentation
✓ Communication
✓ Business Strategy
✓ Technical Fundamentals | 311 |
| 5 | *🚀 HIGH-PAYING TECH CAREERS TO EXPLORE IN 2026 💻💰*
Tech is much bigger than Software Development. If you're planning a career in technology, there are many different paths across AI, Data, Cloud, Cybersecurity, Software, Product, Automation, Hardware and emerging technologies.
Here are 40 tech careers worth exploring in 2026.
*1️⃣ SOFTWARE ENGINEER 👨💻*
What you do: Build software applications, platforms, APIs and systems.
Learn:
✓ Programming
✓ Data Structures & Algorithms
✓ Git & GitHub
✓ APIs
✓ Databases
✓ System Design
✓ Cloud Fundamentals
Popular languages: Python, Java, JavaScript, TypeScript, C++, Go, C#
Career options:
✓ Backend Developer
✓ Frontend Developer
✓ Full-Stack Developer
✓ Software Engineer
✓ Principal Engineer
*2️⃣ AI / MACHINE LEARNING ENGINEER 🤖*
What you do: Build systems that learn from data and make predictions or intelligent decisions.
Learn:
✓ Python
✓ NumPy & Pandas
✓ Statistics
✓ Machine Learning
✓ Deep Learning
✓ PyTorch / TensorFlow
✓ Model Deployment
✓ MLOps
Career options:
✓ Machine Learning Engineer
✓ AI Engineer
✓ Deep Learning Engineer
✓ Computer Vision Engineer
✓ NLP Engineer
*3️⃣ GENERATIVE AI ENGINEER 🧠*
What you do: Build applications using Large Language Models and other generative AI technologies.
Learn:
✓ Python
✓ LLM Fundamentals
✓ Prompt Engineering
✓ Embeddings
✓ Vector Databases
✓ RAG
✓ AI Agents
✓ Model APIs
✓ AI Evaluation
✓ AI Application Development
Useful technologies: OpenAI APIs, Hugging Face, LangChain, LlamaIndex and Vector Databases.
*4️⃣ DATA SCIENTIST 📊*
What you do: Use data, statistics and machine learning to solve business problems.
Learn:
✓ Python
✓ SQL
✓ Statistics
✓ Probability
✓ Machine Learning
✓ Data Visualization
✓ Experimentation
✓ Business Understanding
Career options:
✓ Data Scientist
✓ Applied Scientist
✓ Decision Scientist
✓ Machine Learning Scientist
*5️⃣ DATA ANALYST 📈*
What you do: Analyze data and create insights that help businesses make better decisions.
Learn:
✓ Excel
✓ SQL
✓ Power BI
✓ Tableau
✓ Statistics
✓ Data Cleaning
✓ Data Visualization
✓ Business Analysis
Advanced skills:
✓ Python
✓ DAX
✓ Automation
✓ Cloud Data Platforms
✓ AI-Assisted Analytics
Career options:
✓ Data Analyst
✓ BI Analyst
✓ Product Analyst
✓ Business Analyst
✓ Analytics Consultant
*6️⃣ DATA ENGINEER 🔧*
What you do: Build data pipelines and infrastructure used to collect, transform and store data.
Learn:
✓ SQL
✓ Python
✓ ETL / ELT
✓ Data Warehousing
✓ Apache Spark
✓ PySpark
✓ Airflow
✓ Kafka
✓ Cloud Platforms
Career options:
✓ Data Engineer
✓ Big Data Engineer
✓ Data Platform Engineer
✓ Analytics Engineer
*7️⃣ CLOUD ENGINEER ☁️*
What you do: Build and manage infrastructure and applications on cloud platforms.
Learn:
✓ AWS
✓ Microsoft Azure
✓ Google Cloud
✓ Linux
✓ Networking
✓ Cloud Security
✓ Containers
✓ Infrastructure
✓ Automation
Career options:
✓ Cloud Engineer
✓ Cloud Architect
✓ Cloud Consultant
✓ Solutions Architect
*8️⃣ DEVOPS ENGINEER ⚙️*
What you do: Automate software development, testing, deployment and infrastructure management.
Learn:
✓ Linux
✓ Git
✓ CI/CD
✓ Docker
✓ Kubernetes
✓ Terraform
✓ Cloud
✓ Monitoring
✓ Scripting
Career options:
✓ DevOps Engineer
✓ Platform Engineer
✓ SRE
✓ Cloud DevOps Engineer
*9️⃣ CYBERSECURITY PROFESSIONAL 🔐*
What you do: Protect applications, systems, networks and data from security threats.
Learn:
✓ Networking
✓ Linux
✓ Operating Systems
✓ Cybersecurity Fundamentals
✓ Cryptography
✓ Cloud Security
✓ Threat Detection
✓ Incident Response
Career options:
✓ Security Analyst
✓ Security Engineer
✓ Cloud Security Engineer
✓ Application Security Engineer
✓ Security Architect
*🔟 PENETRATION TESTER / ETHICAL HACKER 🛡️*
What you do: Legally test systems and applications to identify security vulnerabilities.
Learn:
✓ Networking
✓ Linux
✓ Web Security
✓ OWASP
✓ Vulnerability Assessment
✓ Security Tools
✓ Scripting
Career options:
✓ Penetration Tester
✓ Red Team Member
✓ Vulnerability Researcher
✓ Security Consultant | 495 |
| 6 | DevOps (1).pdf | 2 096 |
| 7 | Course will come only after 500+ reaction 💀 otherwise course will never come | 3 318 |
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📖 Excel, Accounting, Financial Statement Analysis, Business Analysis, Financial Math, PowerPoint: Everything is Included!
🔊 Taught By: 365 Careers | 4 580 |
| 11 |  لا يوجد نص... | 3 622 |
| 12 | *🚀 Complete Roadmap to learn AI Fundamentals*
AI isn't just about using basic tools. To build real-world AI applications, you need to understand the fundamentals first and then learn the right tools.
Here's a complete roadmap:
*🎯 Phase 1: AI Fundamentals*
✅ What is Artificial Intelligence?
✅ Types of AI ANI, AGI, ASI
✅ Machine Learning vs Deep Learning vs Generative AI
✅ Supervised, Unsupervised & Reinforcement Learning
✅ Neural Networks Basics
✅ Large Language Models LLMs
✅ Tokens & Context Windows
✅ Embeddings
✅ Vector Databases
✅ Prompt Engineering
✅ RAG Retrieval-Augmented Generation
✅ AI Agents
✅ Fine-Tuning
✅ AI Safety & Responsible AI
*🎯 Phase 2: Essential Programming Skills*
✅ Python
✅ SQL
✅ Git & GitHub
✅ REST APIs
✅ JSON
✅ FastAPI
*🎯 Phase 3: Core AI Libraries*
✅ NumPy
✅ Pandas
✅ Scikit-learn
✅ PyTorch
✅ Transformers
*🎯 Phase 4: Generative AI Tools*
✅ OpenAI API
✅ Hugging Face
✅ Ollama
✅ LangChain
✅ LangGraph
✅ LlamaIndex
✅ CrewAI
✅ AutoGen
*🎯 Phase 5: Vector Databases*
✅ ChromaDB
✅ Pinecone
✅ Weaviate
✅ FAISS
*🎯 Phase 6: AI App Development*
✅ Streamlit
✅ Gradio
✅ FastAPI
✅ Docker
✅ Redis
✅ PostgreSQL
*🎯 Phase 7: AI Automation Tools*
✅ n8n
✅ Flowise
✅ Dify
✅ Make
✅ Zapier
*🎯 Phase 8: Deployment & MLOps*
✅ Docker
✅ GitHub Actions
✅ MLflow
✅ Weights & Biases
✅ AWS / Azure / Google Cloud
*🎯 Phase 9: Build Real Projects*
✅ AI Chatbot
✅ PDF Chat with RAG
✅ AI Coding Assistant
✅ Customer Support Bot
✅ Resume Analyzer
✅ Research Assistant
✅ Multi-Agent AI System
✅ Enterprise Knowledge Assistant | 3 235 |
| 13 |  لا يوجد نص... | 2 198 |
| 14 |  لا يوجد نص... | 2 377 |
| 15 |  لا يوجد نص... | 2 921 |
| 16 | *11 things to NEVER share with ChatGPT:*
1. SSN, credit cards, banking info
2. Home address, phone numbers
3. Passwords, PINs, security codes
4. Medical records, prescriptions
5. Legal troubles, court cases
6. Private family/relationship issues
7. Work secrets, trade secrets
8. Client/employer confidential data
9. Illegal activity instructions
10. Others' personal information
11. Anything you wouldn't post publicly
📌 *Stay smart. Stay safe.*
💬 *Tap ♥️ if this helped you!* | 3 109 |
| 17 | नव वर्ष की हार्दिक शुभकामनाएं | Happy new year, I love you all😚❤️ | 3 176 |
| 18 |  لا يوجد نص... | 3 701 |
| 19 | 🔥 BIG ANNOUNCEMENT 🔥
Guys 🚀 Recording is in progress for a very elite & premium-level Java course 💎
This course is designed with top-quality support 🤝 and industry-focused content.
📚 What you’ll learn:
✅ Java Backend (starting from Spring Framework)
✅ Complete DevOps 🔧
✅ AI + LLM integration 🤖✨
🧠 Prerequisite:
👉 Just basic Java knowledge (don’t worry, you’ll be guided properly 😊)
💯 Best part?
🎁 This course is 100% FREE for you — no hidden charges, no compromise on quality 🔥
📌 Stay active in the group
📌 Recordings + updates coming soon
📌 Serious learners only 💪 | 4 002 |
| 20 | Java Backend Devops course is coming recording in the progress 💀 | 93 |
