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India23 737 Educación11 216...

📈 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 17 923 suscriptores, ocupando la posición 11 216 en la categoría Educación y el puesto 23 737 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 17 923 suscriptores.

Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -143, y en las últimas 24 horas de -7, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 12.26%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
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 02 julio, 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.

17 923

Suscriptores

-724 horas

-537 días

-14330 días

2 198

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

12.26%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

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Archivo de publicaciones

17 915

*🚀 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

17 915

*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!*

17 915

नव वर्ष की हार्दिक शुभकामनाएं | Happy new year, I love you all😚❤️

17 915

🔥 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 💪

17 915

Java Backend Devops course is coming recording in the progress 💀

17 915

@Harichandanupadhyaya +917008931473 He disrespect islam

17 915

Guy's i need your support recently I got a breakup please guide me to move on

17 915

Winner is Java Full stack is coming 😍

17 915

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.

17 915

After 1k vote voting will be stopped so vote for your favourite course now

17 915

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17 915

DON'T USE CURSOR OR OTHER LLM MODELS. DURING MAKING PROJECT OF OUR OWN OR LEARNING, ELSE U WILL NOT GAIN ANY KNOWLEDGE. WASTE OF UR TIME

17 915

Join if you want any course

17 915

Source Code

17 915

11. The Marvelous ASCIIUnicode Char Detector Application