Coding Courses
🔴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
Show more📈 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 18 328 subscribers, ranking 10 924 in the Education category and 22 984 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 328 subscribers.
According to the latest data from 27 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 370 over the last 30 days and by 21 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.23%. 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 2 241 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 22.
- 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 28 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.
Data loading in progress...
| Date | Subscriber Growth | Mentions | Channels | |
| 28 July | +6 | |||
| 27 July | +21 | |||
| 26 July | +33 | |||
| 25 July | +12 | |||
| 24 July | +19 | |||
| 23 July | +12 | |||
| 22 July | +14 | |||
| 21 July | +17 | |||
| 20 July | +21 | |||
| 19 July | +21 | |||
| 18 July | +18 | |||
| 17 July | +26 | |||
| 16 July | +10 | |||
| 15 July | +12 | |||
| 14 July | +19 | |||
| 13 July | +3 | |||
| 12 July | +9 | |||
| 11 July | +13 | |||
| 10 July | +36 | |||
| 09 July | +39 | |||
| 08 July | +15 | |||
| 07 July | +31 | |||
| 06 July | +28 | |||
| 05 July | +5 | |||
| 04 July | 0 | |||
| 03 July | 0 | |||
| 02 July | 0 | |||
| 01 July | 0 |
📖 Excel, Accounting, Financial Statement Analysis, Business Analysis, Financial Math, PowerPoint: Everything is Included!🔊 Taught By: 365 Careers
| 2 |  No text... | 3 939 |
| 3 | *🚀 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 | 3 509 |
| 4 |  No text... | 2 198 |
