Coding Courses
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Mostrar más📈 Análisis del canal de Telegram Coding Courses
El canal Coding Courses (@coding_learning1) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 18 410 suscriptores, ocupando la posición 10 724 en la categoría Educación y el puesto 22 476 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 18 410 suscriptores.
Según los últimos datos del 26 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 93, y en las últimas 24 horas de -2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 11.52%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 3.98% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 121 visualizaciones. En el primer día suele acumular 732 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 7.
- Intereses temáticos: El contenido se centra en temas clave como javascript, array, html, learning, recognition.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔴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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 27 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
Carga de datos en curso...
| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 27 agosto | 0 | |||
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| 13 agosto | +1 | |||
| 12 agosto | 0 | |||
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| 09 agosto | +7 | |||
| 08 agosto | +6 | |||
| 07 agosto | +21 | |||
| 06 agosto | +21 | |||
| 05 agosto | +20 | |||
| 04 agosto | +11 | |||
| 03 agosto | +26 | |||
| 02 agosto | +11 | |||
| 01 agosto | +15 |
| 2 | Course will come only after 500+ reaction 💀 otherwise course will never come | 3 371 |
| 3 | 🔰 Complete A.I. & Machine Learning, Data Science Bootcamp
🌟 4.6 - 29980 votes 💰 Original Price: $64.99
📖 Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
🔊 Taught By: Andrei Neagoie, Daniel Bourke
Coming soon 🔜🔜 | 3 300 |
| 4 | Sin texto... | 3 977 |
| 5 | 🔰 The Complete Financial Analyst Course 2026
🌟 4.6 - 103056 votes 💰 Original Price: $69.99
📖 Excel, Accounting, Financial Statement Analysis, Business Analysis, Financial Math, PowerPoint: Everything is Included!
🔊 Taught By: 365 Careers | 4 580 |
| 6 | Sin texto... | 4 285 |
| 7 | *🚀 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 | 3 820 |
| 8 | Sin texto... | 2 198 |
| 9 | Sin texto... | 2 377 |
| 10 | Sin texto... | 2 921 |
| 11 | *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 |
| 12 | नव वर्ष की हार्दिक शुभकामनाएं | Happy new year, I love you all😚❤️ | 3 176 |
| 13 | Sin texto... | 3 701 |
| 14 | 🔥 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 |
| 15 | Java Backend Devops course is coming recording in the progress 💀 | 93 |
| 16 | @Harichandanupadhyaya
+917008931473
He disrespect islam | 17 |
| 17 | Guy's i need your support recently I got a breakup please guide me to move on | 97 |
| 18 | Winner is Java Full stack is coming 😍 | 4 390 |
| 19 | What is a CDN
Content Delivery Network is a group of geographically distributed servers that work together to provide fast delivery of Internet content.
Instead of every user downloading data from a single central server (which might be halfway across the world), a CDN allows them to download the content from a "local" server near them.
* Goal: Reduce latency (delay) and improve load speeds.
* Key Concept: It moves the content physically closer to the user.
The Flow: How it Works
1) User Request: You type a URL (e.g., e.com/image.jpg) into your browser
2) DNS Resolution: Instead of pointing directly to the main server (Origin), the DNS routes your request to the nearest CDN Edge Server based on your location.
3) Cache Check (Hit vs. Miss):
4) Cache Hit: If the Edge Server already has the image saved, it sends it to you immediately. (Fastest)
5) Cache Miss: If the Edge Server does not have the image, it requests it from the Origin Server, saves a copy for future users, and then sends it to you. | 5 309 |
| 20 | After 1k vote voting will be stopped so vote for your favourite course now | 3 458 |
