Raj Kumar

[Digitalearn @DIGITALEARN_1]

Networking Fundamentals Guide — Vol. 02

Download here:
https://t.co/6wLJ0aqQ4a

Only for serious networking & cybersecurity learners

Beginner → Advanced Networking

[Vineeta Singh 🇮🇳 @biharigurl]

Just Beautiful...Vedic learning must be a part of India’s education system. Our roots, our knowledge, our pride. 🙏

[Megh Updates 🚨™ @MeghUpdates]

This is pure bliss! 💖

Little Hanuman Bhakts singing Parvati from Hanuman Ansh with such beautiful, soulful voices. 👌

[How To Learn Computer @Computerlearn_]

How to activate Office permanently

[AstroCounselKK 🇮🇳 @AstroCounselKK]

Trust me on one thing guys ..

Start your morning today with this one ..
I am literally dancing while walking listening to this..

Super 👌 👍 Classy ..
Worth your 3.34 mins ..

Jai Shiv Shambhu ..
Jai Kaal Bhairav ..

[PyZeroToHero @PyZeroToHero]

Python Built-in Functions

[Artificial Intelligence @AIGuideHQ]

Python Data Types

[Artificial Intelligence @AIGuideHQ]

Git Commands for beginners

[CodeCrafters @CodeCrafters11]

🔌 Embedded Systems / IoT Engineer Roadmap :

Stage 1: C Programming
Stage 2: C++ Fundamentals
Stage 3: Data Structures & Algorithms Basics Stage 4: Git + GitHub
Stage 5: Digital Electronics Fundamentals Stage 6: Microcontrollers (Arduino / ESP32 / STM32)
Stage 7: GPIO, Timers, PWM & Interrupts
Stage 8: Communication Protocols (UART / SPI / I²C)
Stage 9: Sensors & Actuators
Stage 10: Embedded Linux
Stage 11: RTOS (FreeRTOS)
Stage 12: Networking Fundamentals
Stage 13: IoT Protocols (MQTT / HTTP)

[One hard Truth @one_hardTruth]

4 people you have to forgive:

[Artificial Intelligence @AIGuideHQ]

How LLM Works

Save it for later

[Amisha Yadav @amisha_explains]

Officially from INDIAN IITs 🇮🇳

No fees. No entrance exam. No catch.

Here are 19 courses that are better than most paid bootcamps:

1. Artificial Intelligence: Foundations and Algorithms
🔗 https://t.co/oSYHBy2CAo

2. Introduction to Large Language Models (LLMs)
🔗 https://t.co/cb50yjV59U

3. Digital Marketing in the AI era
🔗 https://t.co/cY4BAnSMKI

4. Ethical Hacking
🔗 https://t.co/Vt6zK7tKzl

5. Generative AI for Computer Vision
🔗 https://t.co/GoFZOqhaOm

6. Cloud Computing
🔗 https://t.co/s3eKQ4kO5I

7. Data Science for Engineers
🔗 https://t.co/bc2P6F5Jsd

8. Computer Vision
🔗 https://t.co/sw0ODnKZkb

9. Cyber Security and Privacy
🔗 https://t.co/iqFHf8TPii

10. Corporate Finance
🔗 https://t.co/AMT78OsBlw

11. Database Management System
🔗 https://t.co/dFPgDFun9i

12. Data Structures and Algorithms using Java
🔗 https://t.co/X8UsoouHO6

13. Data Structures and Algorithms Design
🔗 https://t.co/kuixtbaTCD

14. Introduction To Operating Systems
🔗https://t.co/yq2e4gr2S9

15. Natural Language Processing
🔗https://t.co/NW57eofXXt

16. Programming In Java
🔗https://t.co/OAyT6kLYAz

17. Programming in Modern C++
🔗https://t.co/0E3lquqUpM

18. Programming with Generative AI
🔗https://t.co/MItYoWr2bF

19. Python for Data Science
🔗https://t.co/mCcMpCOsA3

[Tech Mom-Promise Nwankwo @PromiseNwankw14]

Want to become a Frontend Developer but don't know where to start?

Here’s a simple roadmap to guide you from beginner to building real-world applications. 👩🏽‍💻

Start with HTML → CSS → JavaScript → Git/GitHub → React → Projects → TypeScript → Next.js → Portfolio.

[freeCodeCamp.org @freeCodeCamp]

If you want to improve your Data Science and Python skills, this course is for you.

You'll use popular Python libraries like Pandas, scikit-learn, and NumPy to extract and clean data, then analyze it.

You'll also learn about grouping & aggregation functions, merging datasets, and using regex, plus some Machine Learning techniques, too.

https://t.co/giBDfEzzDg

[Vatsala Singh @_vatsalasingh]

12 मिनट में श्री विष्णु सहस्त्रनाम।

[Python Programming @PythonPr]

Machine Learning Algorithms

[Knowledge Of Old📌 @KnowledgeOfOld]

The science of studying 📌

[JAY Hack 💻🌐 @ChideraO76104]

Kali Linux pentest cheat sheet

[Tech Fusionist | Kushal Gangil @techyoutbe]

Don’t overthink……just start (AI Engineer)

Step-1: Learn Python Basics
Step-2: Understand Data Structures
Step-3: Learn Math for ML
Step-4: Understand Data Cleaning
Step-5: Learn Machine Learning Basics
Step-6: Practice with Real Datasets
Step-7: Learn Model Evaluation
Step-8: Understand Deep Learning Basics
Step-9: Explore AI Tools & Frameworks
Step-10: Deploy Simple Models
Step-11: Build AI Projects
Step-12: Stay Updated with AI Trends

Congratulations, you’re on your way to AI Engineer! Unlocked!🏆

[Dhanian 🗯️ @e_opore]

Linux is free
Ubuntu is free
Git is free
GitHub is free
GitHub Actions is free
GitLab is free
Docker is free
Kubernetes is free
Docker Compose is free
Podman is free
Helm is free
Minikube is free
Terraform is free
Ansible is free
Jenkins is free
Argo CD is free
NGINX is free
HAProxy is free
Traefik is free
Prometheus is free
Grafana is free
Loki is free
OpenTelemetry is free
Python is free
Go is free
Node.js is free

PostgreSQL is free
MySQL is free
MongoDB is free
Redis is free
AWS is free tier
GCP is free tier
Azure is free tier
VS Code is free
Postman is free
ChatGPT is free
Claude is free
Gemini is free
Perplexity is free
We are in the AI era.
What’s stopping you from becoming a DevOps engineer?