Coding Courses

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India23 737 Education11 216...

📈 Analytical overview of Telegram channel Coding Courses

Channel Coding Courses (@coding_learning1) in the English language segment is an active participant. Currently, the community unites 17 923 subscribers, ranking 11 216 in the Education category and 23 737 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 923 subscribers.

According to the latest data from 01 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -143 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 12.26%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as javascript, array, html, learning, recognition.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔴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”

Thanks to the high frequency of updates (latest data received on 02 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

17 923

Subscribers

-724 hours

-537 days

-14330 days

2 198

Post views

No data24 hours

No data48 hours

12.26%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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

Vote for next course

Anonymous voting

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