Coding Courses
Ir al canal en Telegram
🔴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
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.
18 410
Suscriptores
-224 horas
-397 días
+9330 días
Archivo de publicaciones
18 410
Repost from Coding Learning
🔰 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 🔜🔜
18 410
Repost from Coding Learning
🔰 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
18 410
*🚀 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
18 410
*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!*
18 410
🔥 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 💪
18 410
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.
