Hammad Saleem Soomro

[Hammad Saleem Soomro @hammadsoomro786]

TO ALL LOVELY Londoners, ATTESTATION PLEASE, l need your help, last Saturday on 29th of oct, i was on green st, visiting fireway pizza and then kfc, between times of 6.10 to 6.30 pm, also later I went to the station and sat on the platform to wait for the train

Please tell me...

[Forbes @Forbes]

How The Presidency Made Mar-A-Lago Trump’s Most Valuable Property By Far https://t.co/gDpd6pLCQR (Photo: Al Drago via Getty Images)

[Oscar Arias @OACerebro]

Enjoy!

https://t.co/6sHrOFfxH7

[Hammad Saleem Soomro @hammadsoomro786]

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[Tech P @Tech_p001]

🚀 Complete Data Engineering Roadmap

🧠 STEP 1: Learn Programming Basics
✔ Start with Python
✔ Variables, Functions & Loops
✔ OOP Concepts
✔ APIs & JSON Handling

📊 STEP 2: Master SQL
✔ SELECT & WHERE
✔ JOINS & GROUP BY
✔ Window Functions
✔ CTEs & Subqueries
✔ Query Optimization

🛠 Databases to Learn:
✔ MySQL
✔ PostgreSQL
✔ MongoDB

⚡ STEP 3: Learn Data Warehousing
✔ ETL vs ELT
✔ Data Pipelines
✔ Star & Snowflake Schema
✔ Batch Processing
✔ Data Modeling

🛠 Tools to Learn:
✔ Snowflake
✔ Amazon Redshift
✔ BigQuery

☁️ STEP 4: Learn Big Data Technologies
✔ Distributed Systems
✔ Parallel Processing
✔ Streaming Data
✔ Real-Time Analytics

🛠 Technologies to Learn:
✔ Apache Spark
✔ Hadoop
✔ Apache Kafka

🔄 STEP 5: Learn Data Pipelines & Orchestration*
✔ Workflow Scheduling
✔ Data Automation
✔ Monitoring Pipelines
✔ Error Handling

🛠 Tools to Learn:
✔ Apache Airflow
✔ dbt
✔ Prefect

☁️ STEP 6: Learn Cloud Platforms
✔ Cloud Storage
✔ Data Lakes
✔ Serverless Processing
✔ Cloud Security Basics

🛠 Platforms to Learn:
✔ AWS
✔ Microsoft Azure
✔ Google Cloud Platform

🛠 STEP 7: Learn DevOps for Data Engineering
✔ Version Control
✔ CI/CD Basics
✔ Containerization
✔ Deployment Automation

🛠 Tools to Learn:
✔ Git
✔ Docker
✔ Kubernetes

🔥 STEP 8: Build Real Projects*
✔ ETL Pipeline Project
✔ Real-Time Data Streaming
✔ Sales Data Warehouse
✔ Data Lake Project
✔ Analytics Dashboard Backend

💡 The best way to become a Data Engineer:
👉 Learn SQL → Build Pipelines → Work with Big Data → Deploy on Cloud

Data Engineering Resources: https://t.co/fgbeuiMNcT

💬 Tap ❤️ if this helped you!

[MathsWith Sam @Sam_Axiom]

Geometric Progression (GP) is a sequence in which every term follows a constant multiplicative pattern from the previous one.

It is one of the most powerful ideas in mathematics because it explains exponential growth and decay — concepts used in finance, physics, biology, computer science, and many natural phenomena.

A small repeated change, when applied continuously, can create massive results over time.

[philosophy @Arzu_with_Ai]

The science behind magnetic attraction and repulsion.

[OriginAI @Origin_AI_01]

📂 AI Stack (2026 Edition)
┃
┣ 📂 AI Models
┃ ┣ 📂 OpenAI
┃ ┣ 📂 Anthropic
┃ ┣ 📂 Google DeepMind
┃ ┣ 📂 Meta AI
┃ ┗ 📂 Mistral AI
┃
┣ 📂 LLM APIs
┃ ┣ 📂 GPT-4o
┃ ┣ 📂 Claude 3
┃ ┣ 📂 Gemini 1.5
┃ ┣ 📂 LLaMA 3
┃ ┗ 📂 Mixtral
┃
┣ 📂 AI Agents
┃ ┣ 📂 LangChain
┃ ┣ 📂 LlamaIndex
┃ ┣ 📂 AutoGen
┃ ┣ 📂 CrewAI
┃ ┗ 📂 Haystack
┃
┣ 📂 Vector Databases
┃ ┣ 📂 Pinecone
┃ ┣ 📂 Weaviate
┃ ┣ 📂 Qdrant
┃ ┣ 📂 Milvus
┃ ┗ 📂 Chroma
┃
┣ 📂 RAG (Retrieval-Augmented Generation)
┃ ┣ 📂 LangChain RAG
┃ ┣ 📂 LlamaIndex RAG
┃ ┣ 📂 Haystack RAG
┃ ┣ 📂 Vectara
┃ ┗ 📂 Elastic RAG
┃
┣ 📂 AI Deployment
┃ ┣ 📂 Replicate
┃ ┣ 📂 Modal
┃ ┣ 📂 RunPod
┃ ┣ 📂 Hugging Face
┃ ┗ 📂 AWS SageMaker
┃
┣ 📂 Fine-Tuning
┃ ┣ 📂 LoRA
┃ ┣ 📂 QLoRA
┃ ┣ 📂 PEFT
┃ ┣ 📂 OpenAI Fine-tuning
┃ ┗ 📂 Axolotl
┃
┣ 📂 AI Observability
┃ ┣ 📂 LangSmith
┃ ┣ 📂 Helicone
┃ ┣ 📂 PromptLayer
┃ ┣ 📂 Weights & Biases
┃ ┗ 📂 Arize AI
┃
┣ 📂 AI UI / Frontend
┃ ┣ 📂 Vercel AI SDK
┃ ┣ 📂 Streamlit
┃ ┣ 📂 Gradio
┃ ┣ 📂 React
┃ ┗ 📂 Next.js
┃
┣ 📂 Multimodal AI
┃ ┣ 📂 DALL·E
┃ ┣ 📂 Stable Diffusion
┃ ┣ 📂 Whisper
┃ ┣ 📂 ElevenLabs
┃ ┗ 📂 Sora
┃
┣ 📂 Automation / Workflows
┃ ┣ 📂 Zapier
┃ ┣ 📂 Make
┃ ┣ 📂 n8n
┃ ┣ 📂 Pabbly
┃ ┗ 📂 Temporal
┃
┣ 📂 AI Security
┃ ┣ 📂 Guardrails AI
┃ ┣ 📂 Rebuff
┃ ┣ 📂 Lakera AI
┃ ┣ 📂 Microsoft Presidio
┃ ┗ 📂 Cloudflare
┃
┣ 📂 AI Use Cases
┃ ┣ 📂 Chatbots
┃ ┣ 📂 AI Agents
┃ ┣ 📂 Code Generation
┃ ┣ 📂 Content Creation
┃ ┣ 📂 Video Generation
┃ ┗ 📂 Voice Assistants
┃
┗ 📂 Future Trends
┣ 📂 Autonomous Agents
┣ 📂 AI Operating Systems
┣ 📂 Real-time AI
┣ 📂 Personal AI Assistants
┗ 📂 AI-native SaaS

[Learn Something @cooltechtipz]

The mathematics behind motion and growth.

[Polymath Investor @polymathinvest1]

A few months back, I published this guide on how to remember everything you read.
Re-sharing it here for anyone who finds these protocols useful.

(1/11)

[Charlotte @al_tools43377]

ENGLISH GRAMMAR -MASTER MAP
All Rules Connected Visually...

[@TeacherYousef @teacheryousef]

كل أنواع الاشتقاق مع أمثلة محلولة.(#الرخصة_المهنية_رياضيات ).

[Shanto @ashiqur_ai]

Best YouTube Channels to learn AI in 2026:

1. AI Explained
👉 https://t.co/fUyj4fO7kV…

2. Andrej Karpathy
👉 https://t.co/ez2jwJ7lFa…

3. Cole Medin
👉 https://t.co/vUizW4SAJ1

4. DeepLearningAI
👉 https://t.co/A7g7R2kXia…

5. Futurepedia
👉 https://t.co/PziWiTPvU5…

6. Matthew Berman
👉 https://t.co/94xiTOFVBn…

7. Skill Leap AI
👉 https://t.co/qqxpOVh5hG…

8. Tech With Tim
👉 https://t.co/DiuFY86G6G…

9. Tina Huang
👉 https://t.co/D7ev8T5lMG…

10. Two Minute Papers
👉 https://t.co/4cYnyttvIO…

Follow me @ashiqur_ai for more AI IDEA.

[Atlassian @Atlassian]

If priorities change every time leadership has a “break through" you need Jira Product Discovery.

[Khushi Patil @KhushiPatil25]

How to Become an AI Engineer in 2026 (The Real Roadmap)

Most AI roadmaps you see online are incomplete.

They teach you tools… but not how to think.
They show you concepts… but not how to build real systems.

So I took a step back and rebuilt the roadmap based on one goal:
👉 What does it actually take to become a real AI engineer in 2026?
Here’s the answer.

1. Strong Foundations (Non-Negotiable)

Before AI, you need engineering basics:
Python + Data Structures & Algorithms
APIs (REST / GraphQL)
Git & GitHub
Linux fundamentals
This is what separates developers from copy-paste builders.

2. Mathematics & Statistics

You don’t need a PhD—but you need intuition:
Linear Algebra & Probability
Statistics & Distributions
Hypothesis Testing & Bayes
This is how you stop guessing and start understanding models.

3. Machine Learning Basics

Core concepts still matter:
Supervised & Unsupervised Learning
Model training & evaluation
Overfitting, regularization, cross-validation
Without this, you’re just using AI—not engineering it.

4. Deep Learning & LLM Fundamentals

This is where modern AI starts:
Neural networks & backpropagation
Transformers & attention
Tokenization & embeddings
Fine-tuning vs prompting vs RAG
This is the difference between users and experts.

5. Generative AI & LLM Applications

Now we move to real-world power:
Prompt engineering
RAG (Retrieval-Augmented Generation)
Vector databases
Document processing pipelines
This is where AI becomes useful and scalable.

6. AI Engineering Stack

Tools matter but only after fundamentals:
FastAPI (serving models)
LangChain / LangGraph
LlamaIndex
Docker, Kubernetes
Cloud (AWS, GCP, Azure)
Think in systems, not just libraries.

7. Data Engineering for AI

Most people skip this. Big mistake.
Data pipelines (ETL/ELT)
SQL & NoSQL
Streaming data
Feature stores & versioning
AI is only as good as the data behind it.

8. Build Real AI Systems

This is where you level up fast:
AI chatbots & assistants
AI agents & automation systems
Microservices architecture
Model serving & CI/CD
If you’re not shipping, you’re not learning.

9. Evaluation, Observability & Reliability

This is what companies actually pay for:
LLM evaluation (RAGas, TruLens, etc.)
Prompt testing & A/B testing
Monitoring (logs, traces, metrics)
Cost & latency optimization
This is the difference between demo and production.

10. AI Safety, Security & Product Thinking

The most underrated layer:
Prompt injection & data security
AI safety & bias
Human-in-the-loop systems
UX & business impact
Great engineers don’t just build they solve real problems.

The future AI engineer is not just a coder.
You are a:
Builder (you create systems)
Architect (you design them)
Problem Solver (you deliver value)
Innovator (you push boundaries)

If you’re serious about becoming an AI engineer, this roadmap is your blueprint.

Which stage are you currently in right now?

[Elon Musk @elonmusk]

Amazing price for performance!

[Today I Learned @TodayiLearrned]

Beginner’s guide to probability.

[Sam Gelish @Rubab59f]

📌 12 SIGNS of HIGH EMOTIONAL INTELLIGENCE.
🔸️ You stay calm under pressure
🔸️ You listen without interrupting
🔸️ You understand your emotions
🔸️ You respond instead of reacting
🔸️ You handle feedback maturely
🔸️ You show empathy toward others
🔸️ You communicate with clarity and respect
🔸️ You manage conflict constructively
🔸️ You adapt well to change
🔸️ You respect different perspectives
🔸️ You build strong relationships
🔸️ You stay self-aware and accountable

High EQ helps you LEAD, CONNECT, and GROW 💪
#AI_Art #AI_Generated follow this account @Oliviacoder

[Geosophy @Geosophyy]

Facts About The Solar Family