♥ Programming,Spirituality🙏
Joined January 2012
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- Following487
- Followers28
- Likes96
pranith teja retweeted
Become Cloud Engineer for Free -> Complete GitHub cloud resources!
Linux & Cloud Fundamentals
1- github.com/practical-tutoria… – Curated project-based tutorials (includes Linux basics + hands-on projects)
2- github.com/learnbyexample/cl… – Beginner to intermediate Linux CLI guide with examples
AWS
3- github.com/open-guides/og-aw… – Practical, real-world AWS guide with best practices
4- github.com/acantril/learn-ca… – Hands-on AWS labs and demos (labs are free to use)
Azure
5- github.com/MicrosoftLearning – Official Microsoft Learning organization (explore repos for latest Azure fundamentals, labs, and certification paths)
GCP
6- github.com/GoogleCloudPlatfo… – Official GCP labs and self-paced training materials
7- github.com/GoogleCloudPlatfo… – Cloud-native build tools & CI/CD examples
DevOps & Automation
8- github.com/kelseyhightower/k… – Bootstrap Kubernetes manually to understand internals deeply
9- github.com/bregman-arie/devo… – 2600+ DevOps exercises, interview questions & solutions
10- github.com/ramitsurana/aweso… – Curated awesome Kubernetes resources
Infrastructure as Code
11- github.com/brikis98/terrafor… – Production-ready Terraform code examples from the book
Roadmaps & Interviews
12- github.com/milanm/DevOps-Roa… – Complete 2025 DevOps/Cloud Engineer roadmap with free resources
13- github.com/andreis/interview – Comprehensive technical interview prep (includes cloud & DevOps questions)
pranith teja retweeted
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.
pranith teja retweeted
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. ☁️⚡
pranith teja retweeted
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.
pranith teja retweeted
🔍 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
pranith teja retweeted
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.
pranith teja retweeted
Save this before it gets lost -> Business Analysis, Data Analytics, and Project Management Resources
drive.google.com/drive/u/0/f…
pranith teja retweeted
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: lnkd.in/dMqbaZdK
2. LLMs from Scratch: lnkd.in/dYYwEhYy
3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i
4. Building and Evaluating Agents: lnkd.in/dBWd2W8u
5. Building Effective Agents: lnkd.in/dHfdebqw
6. Building Agents with MCP: lnkd.in/dXuNHrRJ
7. Building an Agent from Scratch: lnkd.in/da3ANw3w
8. Philo Agents: lnkd.in/dq-BfZE5
🗂️ Repos
1. GenAI Agents: lnkd.in/d3UDtwwv
2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv
3. Prompt Engineering Guide: lnkd.in/gJjGbxQr
4. Hands-On Large Language Models: lnkd.in/dxaVF86w
5. AI Agents for Beginners: lnkd.in/dHvTmJnv
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: lnkd.in/d2dMACMj
8. Hands-On AI Engineering:lnkd.in/dgQtRyk7
9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a
10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK
11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY
12. LLM Course: lnkd.in/diZgGACG
🗺️ Guides
1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN
2. Google's Agent Companion: lnkd.in/gfmCrgAH
3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4.
4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf
5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK
📚Books:
1. Understanding Deep Learning: lnkd.in/dgcB68Qt
2. Building an LLM from Scratch: lnkd.in/g2YGbnWS
3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe
4. AI Agents: The Definitive Guide - Nicole Koenigstein: lnkd.in/dJ9wFNMD
5. Building Applications with AI Agents - Michael Albada: lnkd.in/dSs8srk5
6. AI Agents with MCP - Kyle Stratis: lnkd.in/dR22bEiZ
7. AI Engineering: lnkd.in/gi-mQcXa
📜 Papers
1. ReAct: lnkd.in/gRBH3ZRq
2. Generative Agents: lnkd.in/gsDCUsWm.
3. Toolformer: lnkd.in/gyzrege6
4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD.
🧑🏫 Courses:
1. HuggingFace's Agent Course: lnkd.in/gmTftTXV
2. MCP with Anthropic: lnkd.in/geffcwdq
3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y
4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2
5. Agent Memory: lnkd.in/gNFpC542
Repost for your network ♻️
