pranith teja

♥ Programming,Spirituality🙏

[Aastha @aastha_mhaske]

How to Explain AI Types 📘📚

[Nicolas Boucher @BoucherNicolas]

My 25 secret Excel shorcuts

[Krishna Agrawal @Krishnasagrawal]

Difference Explained well 📘📚

[Vaishnavi @_vmlops]

Machine Learning Interview Questions Repo
https://t.co/1XBuR9c2Im

[Avinash Singh @AvinashSingh_20]

Become Cloud Engineer for Free -> Complete GitHub cloud resources!

Linux & Cloud Fundamentals

1- https://t.co/mZTVTJy7DR – Curated project-based tutorials (includes Linux basics + hands-on projects)
2- https://t.co/3RUpMVyILD – Beginner to intermediate Linux CLI guide with examples

AWS

3- https://t.co/S4g7clY8of – Practical, real-world AWS guide with best practices
4- https://t.co/b8qjL6e3Q2 – Hands-on AWS labs and demos (labs are free to use)

Azure

5- https://t.co/4WlEWWFGRS – Official Microsoft Learning organization (explore repos for latest Azure fundamentals, labs, and certification paths)

GCP

6- https://t.co/XZf0fiTs0J – Official GCP labs and self-paced training materials
7- https://t.co/Bu9NPY8XXK – Cloud-native build tools & CI/CD examples

DevOps & Automation

8- https://t.co/hHxSpP9CL7 – Bootstrap Kubernetes manually to understand internals deeply
9- https://t.co/l5rYF3X94B – 2600+ DevOps exercises, interview questions & solutions
10- https://t.co/Vl2GtD5VJN – Curated awesome Kubernetes resources

Infrastructure as Code

11- https://t.co/C4JpBkjg9q – Production-ready Terraform code examples from the book

Roadmaps & Interviews

12- https://t.co/fYpMqVETTo – Complete 2025 DevOps/Cloud Engineer roadmap with free resources
13- https://t.co/I7aaeYrnKB – Comprehensive technical interview prep (includes cloud & DevOps questions)

[Mustafa @oprydai]

if you’re drawn to:

richard feynman
alan turing
claude shannon
john von neumann
nikola tesla
seymour papert
marvin minsky
judea pearl
dennis ritchie
donald knuth
rodd brooks
yann lecun
john carmack
dieter rams
elon musk
bjarne stroustrup
steve jobs

you’re not just into tech; you’re into the art of engineering,
the philosophy of systems, and the beauty of how things work.

you’ve found your people.

[Tom Dörr @tom_doerr]

List of courses with certificates and badges

https://t.co/DkrKe90uy9

[S.T.E.M Explorer @stemexplor]

The vast power of perspective

[YourCloudDude | AWS & Python @yourclouddude]

Don’t overthink learning AWS.
• Learn what the cloud actually is
• Learn EC2 → how apps run
• Learn S3 → how data is stored
• Learn IAM → who can access what
• Learn VPC → basic networking
• Learn Lambda → event-based compute
• Learn billing → avoid surprise costs
• Learn by deploying small things

You don’t learn AWS by memorizing services.
You learn it by seeing how systems work together. ☁️⚡

[Tech with Mak @techNmak]

If you’re into Python (or even just pretending to be 😏)… there’s a repo you cannot afford to sleep on.

It’s called The Algorithms - Python.

👉 Every algorithm you’ve ever read about (and 100 more you haven’t), implemented in Python.

Just look at the categories inside 👇

maths
sorts
graphs
hashes
matrix
ciphers
geodesy
physics
quantum
strings
fractals
geometry
graphics
knapsack
searches
financial
blockchain
scheduling
conversions
electronics
fuzzy_logic
backtracking
audio_filters
file_transfer
project_euler
greedy_methods
linear_algebra
neural_network
boolean_algebra
computer_vision
data_structures
networking_flow
web_programming
bit_manipulation
data_compression
machine_learning
cellular_automata
genetic_algorithm
divide_and_conquer
linear_programming
dynamic_programming
digital_image_processing

Purely written for learning, exploring, and tinkering.

📚 You want to actually understand how algorithms work? This repo is a goldmine.

💡 You want to flex by dropping rare algorithm knowledge in code reviews? This is your ammo.

➡️ Open it.
➡️ Star it.
➡️ Thank me later.

GitHub repo is in the comments.

♻️ Repost to save someone $$$ and a lot of confusion.
✔️ You can follow @techNmak, for more insights.

[ℏεsam @Hesamation]

this game on steam teaches math and coding better than 99% of the uni courses out there.

[Probability and Statistics @probnstat]

Statistics by Professor Leonard!

[Python Developer @PythonDvz]

🔍 DATA ANALYST

Skills: SQL, Excel, Power BI/Tableau, Basic Statistics

Tools: SQL, Excel, Power BI, Tableau

🤖 DATA SCIENTIST

Skills: Python/R, Machine Learning, Probability, Data Wrangling, Visualization

Tools: Pandas, NumPy, Scikit-learn, Tableau, Jupyter Notebook

📊 BUSINESS ANALYST

Skills: Communication, Requirements Gathering, Data Analysis, Problem Solving

Tools: Excel, Power BI, Tableau, Jira, Confluence

⚙️ ML ENGINEER

Skills: Machine Learning, Data Engineering, ETL Pipelines, MLOps, Cloud Deployment

Tools: Python/Java, SQL, Spark, Hadoop, Airflow, MLflow, Docker, Kubernetes

🤝 GENAI ENGINEER

Skills: LLMs, Prompt Engineering, RAG, API Integration, Bias Mitigation

Tools: Transformers, PyTorch/TensorFlow, LangChain, Hugging Face, Vector Databases

[Vaidehi @Ai_Vaidehi]

85 AI Terms explained well 📘📚

[Khusboo Tayal @KhusbooT14835]

80+ AI tools to finish months of work in minutes.

1. Research

- ChatGPT
- Copilot
- Gemini
- Abacus
- Perplexity

2. Image

- Fotor
- Dalle 3
- Stability AI
- Midjourney
- Microsoft Designer

3. CopyWriting

- Rytr
- Copy AI
- Writesonic
- Adcreative AI

4. Writing

- Jasper
- HIX AI
- Jenny AI
- Textblaze
- Quillbot

5. Website

- 10Web
- Durable
- Framer
- Style AI

6. Video

- Klap
- Opus
- Eightify
- InVideo
- HeyGen
- Runway
- ImgCreator AI
- Morphstudio .xyz

7. Meeting

- Tldv
- Otter
- Noty AI
- Fireflies

8. SEO

- VidIQ
- Seona AI
- BlogSEO
- Keywrds ai

9. Chatbot

- Droxy
- Chatbase
- Mutual info
- Chatsimple

10. Presentation

- Decktopus
- Slides AI
- Gamma AI
- Designs AI
- Beautiful AI

11. Automation

- Make
- Zapier
- Xembly
- Bardeen

12. Prompts

- FlowGPT
- Alicent AI
- PromptBox
- Promptbase
- Snack Prompt

13. UI/UX

- Figma
- Uizard
- UiMagic
- Photoshop

14. Design

- Canva
- Flair AI
- Designify
- Clipdrop
- Autodraw
- Magician design

15. Logo Generator

- Looka
- Designs AI
- Brandmark
- Stockimg AI
- Namecheap

16. Audio

- Lovo ai
- Eleven labs
- Songburst AI
- Adobe Podcast

17. Productivity

- Merlin
- Tinywow
- Notion AI
- Adobe Sensei
- Personal AI

18. Social media management

- Tapilo
- Typefully
- Hypefury
- TweetHunter

Follow me for more.

[Avinash Singh @AvinashSingh_20]

Save this before it gets lost -> Business Analysis, Data Analytics, and Project Management Resources
https://t.co/DFjUO2q9MU

[Dhairya Karekar @dkare1009]

Stop wasting hours trying to learn AI. 📘📚

I have already done it for you.

With one list. Zero confusion. And no fluff

📹 Videos:

1. LLM Introduction: https://t.co/Qja4lkPWlY

2. LLMs from Scratch: https://t.co/DAtGeO5if3

3. Agentic AI Overview (Stanford): https://t.co/APcq2oulIY

4. Building and Evaluating Agents: https://t.co/UeCQBskKUS

5. Building Effective Agents: https://t.co/B2tpQHaVoz

6. Building Agents with MCP: https://t.co/CwVBIVUjd0

7. Building an Agent from Scratch: https://t.co/u2jhiZy6UV

8. Philo Agents: https://t.co/lFMIus5CpQ

🗂️ Repos

1. GenAI Agents: https://t.co/yoTno6RBAb

2. Microsoft's AI Agents for Beginners: https://t.co/EGGYhcMq7b

3. Prompt Engineering Guide: https://t.co/fSCoEaFtNf

4. Hands-On Large Language Models: https://t.co/TvpkfJN2sR

5. AI Agents for Beginners: https://t.co/EGGYhcMq7b

6. GenAI Agentshttps://lnkd.in/dEt72MEy

7. Made with ML: https://t.co/cCWWXKh2wW

8. Hands-On AI Engineering:https://t.co/fiLwjmXR8B

9. Awesome Generative AI Guide: https://t.co/MEhtfRlhiu

10. Designing Machine Learning Systems: https://t.co/l21VO4rRBK

11. Machine Learning for Beginners from Microsoft: https://t.co/d3EPcDJWmz

12. LLM Course: https://t.co/xXxETt90eS

🗺️ Guides

1. Google's Agent Whitepaper: https://t.co/rVDu4EyPB5

2. Google's Agent Companion: https://t.co/IWjvSpSE2q

3. Building Effective Agents by Anthropic: https://t.co/0wK5pe5DD6.

4. Claude Code Best Agentic Coding practices: https://t.co/fu7GHgvnAi

5. OpenAI's Practical Guide to Building Agents: https://t.co/sXpo72PxpI

📚Books:

1. Understanding Deep Learning: https://t.co/YRV9Kz78Gy

2. Building an LLM from Scratch: https://t.co/naslph9aCF

3. The LLM Engineering Handbook: https://t.co/BwmUJ6OgHe

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/ZIDeOOamnz

5. Building Applications with AI Agents - Michael Albada: https://t.co/409SxePxhA

6. AI Agents with MCP - Kyle Stratis: https://t.co/3k9lFG3ByM

7. AI Engineering: https://t.co/tHfgc3wNKQ

📜 Papers

1. ReAct: https://t.co/8yV9k9RjOK

2. Generative Agents: https://t.co/PpaAbCvWmj.

3. Toolformer: https://t.co/mSfjjT6urU

4. Chain-of-Thought Prompting: https://t.co/uGktDnFBOb.

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/4MLjHKcWSI

2. MCP with Anthropic: https://t.co/EnUWTrvaK4

3. Building Vector Databases with Pinecone: https://t.co/AmQzrCVweX

4. Vector Databases from Embeddings to Apps: https://t.co/HZbr4UBlw2

5. Agent Memory: https://t.co/TxvrpeBMFj

Repost for your network ♻️

[Vaishnavi @_vmlops]

Probability Cheat Sheet
https://t.co/07jYby8mwp