Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses
👉Udacity, Microsoft, Edx, Google and Eduonix courses for free 👉Get premium Free courses from top websites 👉We also provide discount coupon codes for premium Udacity courses to help you as much as we can For promotions: @love_data
Ko'proq ko'rsatish📈 Telegram kanali Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses analitikasi
Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses (@udacityfreecourse) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 47 149 obunachidan iborat bo'lib, Taʼlim toifasida 3 766-o'rinni va Hindiston mintaqasida 7 900-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 47 149 obunachiga ega bo‘ldi.
16 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -413 ga, so‘nggi 24 soatda esa -14 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.43% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.60% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 674 marta ko‘riladi; birinchi sutkada odatda 283 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent |--, learning, javascript, analytic, certification kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“👉Udacity, Microsoft, Edx, Google and Eduonix courses for free
👉Get premium Free courses from top websites
👉We also provide discount coupon codes for premium Udacity courses to help you as much as we can
For promotions: @love_data”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 17 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
Ma'lumot yuklanmoqda...
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 18 Iyul | +6 | |||
| 17 Iyul | +8 | |||
| 16 Iyul | 0 | |||
| 15 Iyul | +6 | |||
| 14 Iyul | 0 | |||
| 13 Iyul | 0 | |||
| 12 Iyul | 0 | |||
| 11 Iyul | +3 | |||
| 10 Iyul | 0 | |||
| 09 Iyul | +1 | |||
| 08 Iyul | +1 | |||
| 07 Iyul | 0 | |||
| 06 Iyul | +4 | |||
| 05 Iyul | 0 | |||
| 04 Iyul | +2 | |||
| 03 Iyul | +7 | |||
| 02 Iyul | 0 | |||
| 01 Iyul | +6 |
| 2 | 🚀 𝟲 𝗠𝘂𝘀𝘁-𝗧𝗮𝗸𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘
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| 3 | 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
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| 4 | YouTube channels for web development languages:
𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀
HTML/CSS 🎨 – Kevin Powell
JavaScript 🌐 – The Net Ninja
TypeScript 📘 – Academind
React ⚛️ – Traversy Media
Angular 🔺 – Academind
Vue. js 🟩 – Vue Mastery
𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀
Node. js 🚀 – Traversy Media
PHP 🐘 – PHP Academy
Ruby on Rails 💎 – Drifting Ruby
Django (Python) 🐍 – Corey Schafer
Flask (Python) 🔥 – Pretty Printed
ASP. NET (C#) 🎯 – IAmTimCorey
𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗗𝗲𝘃𝗢𝗽𝘀
SQL 🗄️ – DataSimplifier
MongoDB 🍃 – MongoDB Official
Docker 🐳 – TechWorld with Nana
React ❤️ for more | 294 |
| 5 | 🚀 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 💻🔥
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| 6 | ✅ Coding Interview Acronyms You MUST Know 💻🔥
DSA → Data Structures & Algorithms
CPU → Central Processing Unit
RAM → Random Access Memory
DBMS → Database Management System
RDBMS → Relational Database Management System
ACID → Atomicity, Consistency, Isolation, Durability
OLTP → Online Transaction Processing
OLAP → Online Analytical Processing
TCP → Transmission Control Protocol
IP → Internet Protocol
DNS → Domain Name System
MVC → Model View Controller
MVVM → Model View ViewModel
SDLC → Software Development Life Cycle
CI/CD → Continuous Integration / Continuous Deployment
JWT → JSON Web Token
ORM → Object Relational Mapping
API → Application Programming Interface
REST → Representational State Transfer
SOAP → Simple Object Access Protocol
Big O → Time & Space Complexity Notation
FIFO → First In First Out
LIFO → Last In First Out
💬 Double Tap ❤️ for more! | 697 |
| 7 | 🚀 𝗧𝗼𝗽 𝟱 𝗦𝗸𝗶𝗹𝗹𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 – 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘! 🎓
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| 8 | ✅ 🔤 A–Z of SQL Commands 🗄️💻⚡
A – ALTER
Modify an existing table structure (add/modify/drop columns).
B – BEGIN
Start a transaction block.
C – CREATE
Create database objects like tables, views, indexes.
D – DELETE
Remove records from a table.
E – EXISTS
Check if a subquery returns any rows.
F – FETCH
Retrieve rows from a cursor.
G – GRANT
Give privileges to users.
H – HAVING
Filter aggregated results (used with GROUP BY).
I – INSERT
Add new records into a table.
J – JOIN
Combine rows from two or more tables.
K – KEY (PRIMARY KEY / FOREIGN KEY)
Define constraints for uniqueness and relationships.
L – LIMIT
Restrict number of rows returned (MySQL/PostgreSQL).
M – MERGE
Insert/update data conditionally (mainly in SQL Server/Oracle).
N – NULL
Represents missing or unknown data.
O – ORDER BY
Sort query results.
P – PROCEDURE
Stored program in the database.
Q – QUERY
Request for data (general SQL statement).
R – ROLLBACK
Undo changes in a transaction.
S – SELECT
Retrieve data from tables.
T – TRUNCATE
Remove all records from a table quickly.
U – UPDATE
Modify existing records.
V – VIEW
Virtual table based on a query.
W – WHERE
Filter records based on conditions.
X – XML PATH
Generate XML output (mainly SQL Server).
Y – YEAR()
Extract year from a date.
Z – ZONE (AT TIME ZONE)
Convert datetime to specific time zone.
❤️ Double Tap for More | 620 |
| 9 | 🚀 𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 - 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗧𝗲𝗰𝗵 𝗖𝗮𝗿𝗲𝗲𝗿
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| 10 | 🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲
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🚀 Don't miss these FREE certification opportunities in 2026! | 552 |
| 11 | FREE Resources to Learn Artificial Intelligence 🔥
* Python – python.org/doc
* Math for AI – khanacademy.org/math/statistics‑probability
* Machine Learning – scikit‑learn.org/stable
* Deep Learning – pytorch.org/tutorials
* Generative AI – google.com/ai/learn‑ai‑skills
* NLP (Natural Language Processing) – huggingface.co/learn/nlp‑course
* Reinforcement Learning – openai.com/research
* AI Ethics – resourcelist.ai/ai‑ethics
* AI Research – paperswithcode.com
* AI Projects – kaggle.com/learn/ai
* AI Learning Hub – learn.microsoft.com/en‑us/ai
* GitHub AI List – github.com/mrsaeeddev/free‑ai‑resources
Double Tap ♥️ For More | 609 |
| 12 | 𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗵𝗲𝘀𝗲 𝗛𝗶𝗴𝗵-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯𝘀 🔥
This guide highlights 3 powerful skills that are opening doors to high-paying roles across tech and business .🎓
Perfect For
👨🎓 Students
💼 Freshers
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🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4vXeGmm
🚀 Start learning today. Build in-demand skills. Position yourself for better opportunities and bigger career growth. | 651 |
| 13 | 🤖 Artificial Intelligence Roadmap 🧠
|-- Fundamentals
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus
| | |-- Probability & Statistics
| | └─ Discrete Mathematics
| |
| |-- Programming
| | |-- Python
| | |-- R (Optional)
| | └─ Data Structures & Algorithms
| |
| └─ Machine Learning Basics
| |-- Supervised Learning
| |-- Unsupervised Learning
| |-- Reinforcement Learning
| └─ Model Evaluation & Selection
|-- Supervised_Learning
| |-- Regression
| | |-- Linear Regression
| | |-- Polynomial Regression
| | └─ Regularization Techniques
| |
| |-- Classification
| | |-- Logistic Regression
| | |-- Support Vector Machines (SVM)
| | |-- Decision Trees
| | |-- Random Forests
| | └─ Naive Bayes
| |
| └─ Model Evaluation
| |-- Metrics (Accuracy, Precision, Recall, F1-Score)
| |-- Cross-Validation
| └─ Hyperparameter Tuning
|-- Unsupervised_Learning
| |-- Clustering
| | |-- K-Means Clustering
| | |-- Hierarchical Clustering
| | └─ DBSCAN
| |
| └─ Dimensionality Reduction
| |-- Principal Component Analysis (PCA)
| └─ t-distributed Stochastic Neighbor Embedding (t-SNE)
|-- Deep_Learning
| |-- Neural Networks Basics
| | |-- Activation Functions
| | |-- Loss Functions
| | └─ Optimization Algorithms
| |
| |-- Convolutional Neural Networks (CNNs)
| | |-- Image Classification
| | └─ Object Detection
| |
| |-- Recurrent Neural Networks (RNNs)
| | |-- Sequence Modeling
| | └─ Natural Language Processing (NLP)
| |
| └─ Transformers
| |-- Attention Mechanisms
| |-- BERT
| |-- GPT
|-- Reinforcement_Learning
| |-- Markov Decision Processes (MDPs)
| |-- Q-Learning
| |-- Deep Q-Networks (DQN)
| └─ Policy Gradient Methods
|-- Natural_Language_Processing (NLP)
| |-- Text Processing Techniques
| |-- Sentiment Analysis
| |-- Topic Modeling
| |-- Machine Translation
| └─ Language Modeling
|-- Computer_Vision
| |-- Image Processing Fundamentals
| |-- Image Classification
| |-- Object Detection
| |-- Image Segmentation
| └─ Image Generation
|-- Ethical AI & Responsible AI
| |-- Bias Detection and Mitigation
| |-- Fairness in AI
| |-- Privacy Concerns
| └─ Explainable AI (XAI)
|-- Deployment & Production
| |-- Model Deployment Strategies
| |-- Cloud Platforms (AWS, Azure, GCP)
| |-- Model Monitoring
| └─ Version Control
|-- Online_Resources
| |-- Coursera
| |-- Udacity
| |-- fast.ai
| |-- Kaggle
| └─ TensorFlow, PyTorch Documentation
React ❤️ if this helped you! | 611 |
| 14 | 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀🎓
Offers a wide range of free learning resources through Microsoft Learn, helping students, freshers, and professionals build job-ready skills at their own pace.
✅ 100% FREE self-paced learning modules
✅ Official learning platform from Microsoft
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4paqRJS
Explore Microsoft’s free resources. Build in-demand skills and make your profile stronger. | 504 |
| 15 | 𝗔𝗜 𝗶𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫 Join this live masterclass and gain practical insights into AI-powered Product Management, in-demand skills
💫Roadmap to building a successful Product Management career
Eligibility :- Recent Graduates & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
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Date & Time :- 11th July 2026 , 8:00 PM (IST) | 563 |
| 16 | 10 AI/ML must watch YouTube videos for developers:
1. RAG from scratch - freeCodeCamp (~1.3M👀)https://www.youtube.com/watch?v=sVcwVQRHIc8
2. LangChain Crash Course - codebasics (~618k👀)https://www.youtube.com/watch?v=nAmC7SoVLd8
3. Build GPT from scratch - Andrej Karpathy (~7M👀 )https://www.youtube.com/watch?v=kCc8FmEb1nY
4. Agentic AI using LangGraph - CampusX (~1M👀)https://www.youtube.com/playlist?list=PLKnIA16_RmvYsvB8qkUQuJmJNuiCUJFPL
5. AI Agents explained - IBM Technology (~1.6 M👀)https://www.youtube.com/watch?v=F8NKVhkZZWI
6. Vector databases explained - Fireship (~1.1 M👀)https://www.youtube.com/watch?v=klTvEwg3oJ4
7. Fine tuning LLMs - Andrej Karpathy (~3.5M👀)https://youtu.be/zjkBMFhNj_g
8. Prompt Engineering - freeCodeCamp(~2.6M👀)https://youtu.be/_ZvnD73m40o
9. Model Context Protocol (MCP) - Greg (~1.2M 👀)https://youtu.be/H4YK_7MAckk
10. CrewAI Tutorial - AIwithbrandon (~300k👀)https://youtu.be/sPzc6hMg7So
Save this for later. Come back when you need it. | 558 |
| 17 | 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 | 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲🎓
These FREE virtual certificate internships can help you build practical skills, industry exposure, and resume value from top companies and global platforms — all from home.
💫Perfect for students, freshers, and career starters
- PwC Power BI Virtual Internship
- British Airways Data Science Virtual Internship
- Quantium Data Analytics Virtual Internship
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
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🚀 Start learning today. Build experience. Collect certificates. Make your resume stronger. | 629 |
| 18 | Give me 5 minutes, I will tell you
7 ways to get your next job in 3 months.
The situation is tough and talking to your colleague or mentor won’t change a thing. Doing the below 6 things might get you your next opportunity faster
✅ Save this post for future reference
𝟭. 𝗨𝗽𝗱𝗮𝘁𝗲 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 ‘𝗢𝗽𝗲𝗻 𝗧𝗼 𝗪𝗼𝗿𝗸’ 𝗦𝗲𝘁𝘁𝗶𝗻𝗴
- Use a generic title (Data Engineer) as well as a role-specific title (Azure Data Engineer).
- Select all location types and tech hubs in India.
- Update your current location to Bangalore, Hyderabad, or Noida, as most companies hire from these locations.
𝟮. 𝗦𝗸𝗶𝗹𝗹 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻
- Enhance in-demand skills through courses, certifications and projects to make your profile stand out to employers.
- Free Resources
• SQL - https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
• Python - https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
• Web Development - https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
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• Java Programming - https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
• Javascript - https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
• Machine Learning - https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
• Artificial Intelligence - https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
• Projects - https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
𝟯. 𝗝𝗼𝗶𝗻 𝗚𝗿𝗼𝘂𝗽𝘀
- Jobs & Internship Opportunities: https://t.me/getjobss
- Data Analyst Jobs: https://t.me/jobs_SQL
- Web Development Jobs: https://t.me/webdeveloperjob
- Data Science Jobs: https://t.me/datasciencej
- Software Engineering Jobs: https://t.me/internshiptojobs
- Google Jobs: https://t.me/FAANGJob
𝟰. 𝗧𝗿𝗶𝗰𝗸𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗖𝗮𝗹𝗹𝘀
- Visit the career portals of companies and apply to 10-15 recent openings.
- Cold email to companies/ HRs
- Apply for remote Jobs posted on telegram - https://t.me/jobs_us_uk
𝟱. 𝗔𝘀𝗸 𝗳𝗼𝗿 𝗥𝗲𝗳𝗲𝗿𝗿𝗮𝗹𝘀:
- When asking for a referral, ensure the person passes on your resume explicitly to the hiring manager.
- While asking for referral make sure to send Job id along with resume.
𝟲. 𝘄𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝘁𝗼 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝘂𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿:
1. career.io
2. resume.io
𝗝𝗼𝗶𝗻 𝗺𝘆 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 -
- https://t.me/jobinterviewsprep
- https://t.me/InterviewBooks
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