Nancy Raghav

[Helena AI @rosemoni18]

🔥🔥 FREE AI COURSES 🔥🔥

𝟭. Prompt Engineering Basics: https://t.co/NtYAtk3fqY
𝟮. ChatGPT Prompts Mastery: https://t.co/yuHjb2OYJv
𝟯. Intro to Generative AI: https://t.co/xhJeuJC4Gt
𝟰. AI Introduction by Harvard: https://t.co/xT6FmrQbq4
𝟱. Microsoft GenAI Basics: https://t.co/nfQ89wJG4d
𝟲. Prompt Engineering Pro: https://t.co/jpYcilnSje
𝟳. Google’s Ethical AI: https://t.co/Gohx3Sbkao
𝟴. Harvard Machine Learning: https://t.co/U1PdARrKR8
𝟵. LangChain App Developer: https://t.co/yzCK45bWdV
𝟭𝟬. Bing Chat Applications: https://t.co/yNNTtTMe7f
𝟭𝟭. Generative AI by Microsoft: https://t.co/eFyvChYw3K
𝟭𝟮. Amazon’s AI Strategy: https://t.co/uxHFtbYdG1
𝟭𝟯. GenAI for Everyone: https://t.co/YMtZ5687fX
𝟭𝟰. AWS GenAI Foundation: https://t.co/DzJVco7KPM

♻️ 𝗕𝗼𝗻𝘂𝘀:
• OpenCV Bootcamp: https://t.co/DVdahDnMDq
• Tensorflow Bootcamp: https://t.co/L2dDvOKs4N

👉 Follow Me @rosemoni18 for more Useful Content.

[Sourabh Gurwani @SourabhGurwani]

Best YouTube Channels To Crack Tech Interviews (2026)

1. DSA – NeetCode
2. LeetCode Patterns – Abdul Bari
3. System Design – Gaurav Sen
4. Mock Interviews – Pramp
5. FAANG Prep – Tech Dummies
6. Coding Rounds – Nick White
7. Behavioral – Jeff H Sipe
8. Problem Solving – Back To Back SWE
9. Deep DSA – Errichto
10. Interview Strategy – Exponent
11. Resume + Career – Self Made Millennial
12. Real Interview Qs – Clément Mihailescu
13. Advanced DSA – William Lin
14. CS Basics – MIT OpenCourseWare

[Olivia @Oliviae9t]

Stop wasting Claude’s power on weak prompts.

Most people type a random question and expect magic.
That’s not prompting — that’s guessing.

The real difference between average and elite AI results?
👉 Structure.

Here are 8 proven frameworks to level up your prompts:

[Ram Singh Verma @RamSingh_369]

10 GitHub repos that will level up your AI Agent skills (SAVE THIS)🔖

1. Hands-On Large Language Models
Complete code notebooks from basics to advanced fine-tuning.
🔗 https://t.co/2LKJuJ8Cyh

2. AI Agents for Beginners
A free 11-part intro course to build your first agents.
🔗 https://t.co/3bGZGzH37t

3. GenAI Agents
Tutorials and code for building generative AI agents.
🔗 https://t.co/5EYp4Csi5A

4. Made with ML
Learn to design, build, and deploy real ML apps.
🔗 https://t.co/QAd73HJLti

5. Prompt Engineering Guide
Learn to write powerful and effective prompts.
🔗 https://t.co/snBc7WCAZq

6. Hands-On AI Engineering
Practical LLM-powered apps and agent examples.
🔗 https://t.co/Zt0sOOKpNw

7. Awesome Generative AI Guide
Curated hub for genAI research and tools.
🔗 https://t.co/pYNP3pVwUD

8. Designing Machine Learning Systems
Summaries and resources from the popular ML systems book.
🔗 https://t.co/cvhlbiVyfo

9. ML for Beginners (Microsoft)
Free beginner-friendly ML curriculum.
🔗 https://t.co/FfS2lLr9Oz

10. LLM Course
Roadmaps and hands-on notebooks to build LLM apps.
🔗 https://t.co/xAqrN4RXT4

I'm curating 50+ AI Agent resources on my profile worth checking out 👋

[Arish Ai @Tech_Arish]

Learn AI for free directly from top companies

𝟭 - 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰:
https://t.co/i9reYSLVvA

𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲:
https://t.co/OgAk0YQqox

𝟯 - 𝗠𝗲𝘁𝗮:
https://t.co/caEUEcKC1t

𝟰 - 𝗡𝗩𝗜𝗗𝗜𝗔:
https://t.co/ulQQ2FJoim

𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁:
https://t.co/GQBomAHnws

𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜:
https://t.co/NdgFF7TMCP

𝟳 - 𝗜𝗕𝗠:
https://t.co/Ax9ZI1gEGF

𝟴 - 𝗔𝗪𝗦:
https://t.co/fsCxtICPZo

𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝗔𝗜:
https://t.co/pwDlOQqUAv

𝟭𝟬 - 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲:
https://t.co/ruGwWNR54r

❤️ Like
🔁 Retweet
🔖 Bookmark

Follow @Tech_Arish more AI Posts

#AI #ArtificialIntelligence #AISkills #AIAgents #RAG #LLM #PromptEngineering

[Swadesh Kumar @swadeshkumar_]

Best YouTube Playlists to learn Programming:

C
https://t.co/xaXMKuWUB7…

C++
https://t.co/xaXMKuWUB7…

Python
https://t.co/n1iecS3tRk…

Java
https://t.co/xaXMKuWUB7…

C#
https://t.co/n1iecS3tRk…

SQL
https://t.co/n1iecS3tRk…

Go
https://t.co/n1iecS3tRk…

PHP
https://t.co/xaXMKuWUB7…

Swift
https://t.co/xaXMKuWUB7…

Kotlin
https://t.co/n1iecS3tRk…

Dart
https://t.co/xaXMKuWUB7…

Ruby
https://t.co/xaXMKuWUB7…

Rust
https://t.co/xaXMKuWUB7…

TypeScript
https://t.co/xaXMKuWUB7…

R
https://t.co/xaXMKuWUB7…

React
https://t.co/xaXMKuWUB7…

Next.js
https://t.co/n1iecS3tRk…

Node.js
https://t.co/xaXMKuWUB7…

HTML/CSS
https://t.co/xaXMKuWUB7…

Machine Learning
https://t.co/xaXMKuWUB7…

Deep Learning
https://t.co/xaXMKuWUB7…

DSA
https://t.co/xaXMKuWUB7…

Like Share Retweet

Follow @swadeshkumar_ for more !!

[Akshay Shinde @ConsciousRide]

90% of AI Engineering interviews in 2026 come down to these 7 points.

1. LLM Fundamentals: tokenization, transformers & attention, fine-tuning (LoRA/QLoRA), context management, model selection

2. RAG Systems: chunking strategies, embeddings, vector databases, retrieval & reranking, hallucination mitigation

3. Agentic Workflows: tool calling & function calling, ReAct/Plan-Execute patterns, memory & state, multi-agent orchestration

4. Inference Optimization: quantization (AWQ/GGUF), serving engines (vLLM/TGI), batching & KV cache, latency vs cost tradeoffs

5. Evaluation & Observability: LLM-as-judge evals, custom metrics, A/B testing, drift detection, prompt/response logging

6. MLOps Pipelines: experiment tracking, model versioning & registries, CI/CD for AI, data pipelines, deployment automation

7. Production Realities: safety guardrails & prompt injection, scaling inference, cost optimization, debugging failures, compliance & reliability

[Shraddha Bharuka @BharukaShraddha]

If I had to start System Design from scratch again, I’d ignore 90% of the internet…

…and just study these 40 articles.

No random YouTube hopping.
No endless tabs.
No confusion.

Just a clean, structured path that actually works.

This is the roadmap I *wish* I had during my interview prep 👇

You’ll learn:
• How to think in systems (not just memorize answers)
• Real trade-offs (scalability vs consistency, latency vs cost)
• How to design like a senior engineer

And the best part?
You can even:
→ Ask questions via voice in real-time
→ Get instant feedback
→ Practice HLD even as a beginner

Here’s the full breakdown:

1. HLD Basics → https://t.co/wwSc89YhEH
2. Core Concepts & Trade-offs → https://t.co/8zHIKju6ad
3. Networking & DNS → https://t.co/2pXkfudjfC
4. Load Balancing & Scaling → https://t.co/ZBrhdOYhzO
5. Application Architecture → https://t.co/VO68OWT0EK
6. Databases → https://t.co/hO58Rbdfmy
7. Caching → https://t.co/UpJTS786rI
8. Async Processing → https://t.co/vy6FN7NkES
9. Communication Protocols → https://t.co/epmD5E44tP
10. Performance & Monitoring → https://t.co/4OsgVix1Dj
11. Cloud Design Patterns → https://t.co/ppZOR1CV1Q
12. Reliability Patterns → https://t.co/bTSWTdWAoJ

Save this.
This is easily 50+ hours of scattered learning—compressed into one roadmap.

Follow this, and System Design will finally start making sense.

[Dhanian 🗯️ @e_opore]

𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 — 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟲

𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀

Build a strong foundation before diving into frameworks.

🔹 HTML5 & CSS3
🔹 JavaScript (ES6+)
🔹 TypeScript
🔹 Git & GitHub
🔹 Problem Solving & DSA

𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

Create modern, responsive, and interactive user interfaces.

🔹 React.js
🔹 Next.js
🔹 Tailwind CSS
🔹 Redux / Zustand
🔹 Responsive Design & Accessibility

𝗨𝗜/𝗨𝗫 & 𝗗𝗲𝘀𝗶𝗴𝗻 𝗧𝗼𝗼𝗹𝘀

Understand design principles and developer workflows.

🔹 Figma
🔹 Design Systems
🔹 Component Libraries
🔹 User Experience Principles
🔹 Wireframing & Prototyping

𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

Build APIs and business logic.

🔹 Node.js
🔹 Express.js
🔹 NestJS
🔹 REST APIs
🔹 GraphQL

𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀

Learn how to store and manage data effectively.

🔹 PostgreSQL
🔹 MySQL
🔹 MongoDB
🔹 Redis
🔹 Database Design & Optimization

𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆

Protect users and applications.

🔹 JWT Authentication
🔹 OAuth 2.0
🔹 Session Management
🔹 OWASP Top 10
🔹 API Security

𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁

Deploy and scale applications globally.

🔹 AWS
🔹 Azure
🔹 Google Cloud
🔹 Vercel & Netlify
🔹 CDN & Edge Computing

𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻

Modern developers need operational skills.

🔹 Docker
🔹 Kubernetes
🔹 CI/CD Pipelines
🔹 GitHub Actions
🔹 Infrastructure as Code

𝗔𝗜 & 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻

The biggest difference between traditional and modern full stack development.

🔹 OpenAI APIs
🔹 AI SDKs
🔹 Prompt Engineering
🔹 Retrieval-Augmented Generation (RAG)
🔹 AI Agent Development

𝗗𝗮𝘁𝗮 & 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀

Power intelligent applications with contextual memory.

🔹 Pinecone
🔹 Weaviate
🔹 ChromaDB
🔹 Embeddings
🔹 Semantic Search

𝗧𝗲𝘀𝘁𝗶𝗻𝗴 & 𝗤𝘂𝗮𝗹𝗶𝘁𝘆

Build reliable and maintainable software.

🔹 Jest
🔹 Playwright
🔹 Cypress
🔹 API Testing
🔹 Performance Testing

𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴

Understand how applications behave in production.

🔹 Logging
🔹 Monitoring
🔹 Error Tracking
🔹 OpenTelemetry
🔹 Analytics

𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻

Design scalable and resilient systems.

🔹 Load Balancing
🔹 Caching
🔹 Message Queues
🔹 Microservices
🔹 Distributed Systems Basics

𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

Build products for the modern market.

🔹 AI Chat Applications
🔹 AI Content Generators
🔹 AI Coding Assistants
🔹 AI Workflow Automation Tools
🔹 Multi-Agent Systems

𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀

Apply your skills through production-grade applications.

🔹 AI SaaS Platform
🔹 Full Stack E-commerce System
🔹 AI Course Generator
🔹 AI Customer Support Agent
🔹 Team Collaboration Platform

Mastering this roadmap will transform you from a traditional web developer into a modern AI-powered Full Stack Engineer capable of building the next generation of intelligent applications.

Get the complete Full Stack Developer Handbook here:
👉 https://t.co/cQjcyhz9KR

[Prakash Sharma @PrakashS720]

10 GitHub repos that will level up your AI Agent skills (SAVE THIS)🔖

1. Hands-On Large Language Models
Complete code notebooks from basics to advanced fine-tuning.
🔗 https://t.co/9QKo7MStSW

2. AI Agents for Beginners
A free 11-part intro course to build your first agents.
🔗 https://t.co/6jy8fogQJ3

3. GenAI Agents
Tutorials and code for building generative AI agents.
🔗 https://t.co/x8VWXoTz4J

4. Made with ML
Learn to design, build, and deploy real ML apps.
🔗 https://t.co/WYnjwQV71F

5. Prompt Engineering Guide
Learn to write powerful and effective prompts.
🔗 https://t.co/GVvnXneNoj

6. Hands-On AI Engineering
Practical LLM-powered apps and agent examples.
🔗 https://t.co/JzMAJWM5nU

7. Awesome Generative AI Guide
Curated hub for genAI research and tools.
🔗 https://t.co/zXwhRpBByf

8. Designing Machine Learning Systems
Summaries and resources from the popular ML systems book.
🔗 https://t.co/MtCf0FBEck

9. ML for Beginners (Microsoft)
Free beginner-friendly ML curriculum.
🔗 https://t.co/FbE5h9MoOP

10. LLM Course
Roadmaps and hands-on notebooks to build LLM apps.
🔗 https://t.co/6tJEhLZ6w9

[Igor Buinevici @Igor_Buinevici]

Top 10 Free AI Courses:

From Google, Microsoft, Harvard, etc.

Get the PDF with clickable links (+ my top 100 infographics):

Subscribe for my newsletter at https://t.co/jTnaNRaV2d

1. Microsoft: AI Courses

👉 https://t.co/qeMb4QRJMA

2. Google: AI Courses

👉 https://t.co/KYgigXuAIg

3. Vanderbilt: ChatGPT Prompt Engineering

👉 https://t.co/W1VvYiRuGM

4. Harvard: Introduction to AI with Python

👉 https://t.co/62LVlMupV9

5. UCL Davis: Big Data, AI, and Ethics

👉 https://t.co/6XuiBdGaVl

6. Open AI: Prompt Engineering for Devs

👉 https://t.co/GIXcFJb8tm

7. edX: AI Applications and Prompt Engineering

👉 https://t.co/hZXhcJUlKt

8. AWS: Foundations of Prompt Engineering

👉 https://t.co/DUxKaqunS3

9. DeepLearning: Generative AI for Everyone

👉 https://t.co/Vnq8KDX936

10. LinkedIn: Generative AI Courses

👉 https://t.co/oHQv0sOgzU

Access Coursera courses for free:

Open the course page → click “Enroll for free” → choose “Audit the course”.

Take advantage of these courses to:

Stay ahead in the new AI era.

P.S. What AI skill do you want to master in 2026?

♻️ Repost to help others master AI.

[Fiz @MRB_AI24]

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
@MRB_AI24
for more.

[Sauda Moni @ZahidulIsl65224]

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/UAO5AKCdIS

2. LLMs from Scratch: https://t.co/hX14eiz7Ae

3. Agentic AI Overview (Stanford): https://t.co/eWvyovX3XR

4. Building and Evaluating Agents: https://t.co/q34CyTbgIb

5. Building Effective Agents: https://t.co/uckoder2c6

6. Building Agents with MCP: https://t.co/0muk7CgXgD

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

8. Philo Agents: https://t.co/489aNOHNOY

🗂️ Repos

1. GenAI Agents: https://t.co/0LLLntnq43

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

3. Prompt Engineering Guide: https://t.co/9hCf2gUUf2

4. Hands-On Large Language Models: https://t.co/8tMGgaoOj8

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

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

7. Made with ML: https://t.co/Y4Y24UzvrB

8. Hands-On AI Engineering:https://t.co/X5qEE2vgmF

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

10. Designing Machine Learning Systems: https://t.co/OtEbZ6EaE2

11. Machine Learning for Beginners from Microsoft: https://t.co/tkSFALge3P

12. LLM Course: https://t.co/7tp5rj0u1Q

🗺️ Guides

1. Google's Agent Whitepaper: https://t.co/iiQC73UbVZ

2. Google's Agent Companion: https://t.co/A73lVmY8Tz

3. Building Effective Agents by Anthropic: https://t.co/bt1ajgeLd1.

4. Claude Code Best Agentic Coding practices: https://t.co/9FNs0x05pH

5. OpenAI's Practical Guide to Building Agents: https://t.co/23j7MLY3n3

📚Books:

1. Understanding Deep Learning: https://t.co/2zC1KleCOT

2. Building an LLM from Scratch: https://t.co/XiaPK3pSnh

3. The LLM Engineering Handbook: https://t.co/6tx9Pr3hzS

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/Q6giUyob75

5. Building Applications with AI Agents - Michael Albada: https://t.co/i2HRPNQ604

6. AI Agents with MCP - Kyle Stratis: https://t.co/f3oh4pLqeB

7. AI Engineering: https://t.co/Q7b9ex7Yo7

📜 Papers

1. ReAct: https://t.co/KXsNJJBglx

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

3. Toolformer: https://t.co/hUplS6zrfb

4. Chain-of-Thought Prompting: https://t.co/SPF8OEpx64.

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/2i1GBjkfpV

2. MCP with Anthropic: https://t.co/M23HbSd5Bc

3. Building Vector Databases with Pinecone: https://t.co/vyFwn3UBzn

4. Vector Databases from Embeddings to Apps: https://t.co/dBD98s6BCC

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

Repost for your network

[Alok Pathak @1005Alok85200]

Learn AI for free directly from top companies

1 - Anthropic:
https://t.co/uZ2v8qbdkD

2 - Google:
https://t.co/Y4cpwivR3q

3 - Meta:
https://t.co/12OIxNe2pa

4 - NVIDIA:
https://t.co/SkEVwFVo45

5 - Microsoft:
https://t.co/GwqITAxHHL

6 - OpenAI:
https://t.co/5vUkc146yj

7 - IBM:
https://t.co/LIiOtZWHJk

8 - AWS:
https://t.co/e5oRT6dPVi

9 - DeepLearning AI:
https://t.co/JUsjaicTAK

10 - Hugging Face:
https://t.co/CE9JyIFz5U

Comment "AI" for more resources.

Like, Retweet & Bookmark for future updates.

[aditya @adxtyahq]

for anyone asking where to learn this stuff:

• RAG → https://t.co/4bzbUIwV5g
• Agentic RAG → https://t.co/IotOiGmV1Y
• AI Agents → https://t.co/nEeMnVJQbk
• Multi-Agent Systems → https://t.co/pavDPVJEFj
• LangGraph → https://t.co/3miEqqFzF0
• LangGraph (code) → https://t.co/v7kxHZXqba
• MCP → https://t.co/lKawRb4etX
• Memory Systems → https://t.co/LSaT2UaPAS
• Evals → https://t.co/vxChxa1kqQ
• Context Engineering → search "Context Engineering Survey" on arXiv

and please skip the "build an ai agent in 10 minutes" videos
build something, watch it fail, then figure out why.

[Jack @Tech_Rose1]

💸 12 Websites That Can Help You Earn Money Online

Looking for extra income opportunities? Check out these platforms:

• Arise • KellyConnect • Gaggle • Paidwork • Toptal • Transcription Hub • Preply • Omni Interactions • Rev • TaskRabbit • Swagbucks • NexRep • Clickworker

Each platform offers different types of remote work, freelance projects, tutoring, customer support, microtasks, and more.

Before joining, research the requirements, payment methods, and availability in your country.

Follow @Tech_Rose1 for more AI, tech, and online earning updates. 🚀

[Ram Singh Verma @RamSingh_369]

Learn AI for free directly from top companies

1 - Anthropic:
https://t.co/Q2Z6GQ4FLG

2 - Google:
https://t.co/dfcoYu9F5t

3 - Meta:
https://t.co/KehbL6SMqe

4 - NVIDIA:
https://t.co/yJJeBybAiq

5 - Microsoft:
https://t.co/o6zEI08e0V

6 - OpenAI:
https://t.co/Ldf6JOVnWH

7 - IBM:
https://t.co/YRr7afbzih

8 - AWS:
https://t.co/vDgMAY0FPI

9 - DeepLearning AI:
https://t.co/KGHQ6IxLW7

10 - Hugging Face:
https://t.co/P75G9cA8BL

Comment "AI" for more resources.

Like, Retweet & Bookmark for future updates.

[DILESH GAUTAM @Dilesh2004]

20 Completely FREE Programming Courses for 2026:

1. Python
https://t.co/VaezPDzN9z…

2. JavaScript
https://t.co/VaezPDzN9z…

3. SQL
https://t.co/VaezPDzN9z…

4. Java
https://t.co/VaezPDzN9z…

5. React 19
https://t.co/VaezPDzN9z…

6. React Native
https://t.co/nxcXInW9vy…

7. Django
https://t.co/VaezPDzN9z…

8. C++
https://t.co/AxAzvlmx2d…

9. Rust
https://t.co/VaezPDzN9z…

10. TypeScript
https://t.co/VaezPDzN9z…

11. Golang
https://t.co/VaezPDzN9z…

12. C#
https://t.co/YXPV4u2NNw…

13. Kotlin
https://t.co/81cPO9fRCt…

14. Swift
https://t.co/ol0YsDfEAR…

15. PHP
https://t.co/VaezPDzN9z…

16. C
https://t.co/VaezPDzN9z…

17. DSA
https://t.co/VaezPDzN9z…

18. Machine Learning
https://t.co/SzHCzMHtA0…

19. LLM
https://t.co/VaezPDzN9z…

20. Generative AI
https://t.co/JII3BsLYKe…

Repost ♻️

Follow @Dilesh2004 for more

[Jian Wang @jianw851]

Most beginners learn coding in the wrong order.

They jump between random tutorials, get overwhelmed, and quit.

If I had to start from scratch in 2026, this is the roadmap I'd follow:

📍 STEP 1 — HTML & CSS
Learn how websites are actually built.
🔗 CSS-Tricks

📍 STEP 2 — JavaScript
The language that powers the web.
🔗 https://t.co/MfoStQIpfI

📍 STEP 3 — Git & GitHub
Version control is a superpower.
🔗 GitHub Skills

📍 STEP 4 — SQL
Every developer should know how data is stored and queried.
🔗 Codecademy SQL

📍 STEP 5 — React
Build modern frontend applications.
🔗 Scrimba

📍 STEP 6 — APIs
Learn how applications communicate.
🔗 RapidAPI

📍 STEP 7 — Python
Automation, AI, Data Science, Backend.
🔗 Kaggle Python

📍 STEP 8 — Data Structures & Algorithms
The skill that helps you crack interviews.
🔗 Programiz

📍 STEP 9 — Full-Stack Development
Connect frontend, backend, databases, and APIs.
🔗 freeCodeCamp

📍 STEP 10 — Pick Your Specialization

🤖 AI/ML → Python + AI Libraries
☁️ Cloud/DevOps → AWS + Docker + Kubernetes
📱 Mobile → React Native / Flutter
🔒 Cybersecurity → Networking + Security
⚙️ Backend → Node.js / Java / Go

Most developers fail because they don't have a roadmap.

Not because they lack talent.

Save this.

It can save you months of confusion. 🚀

[DILESH GAUTAM @Dilesh2004]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/ImzAeDp77n

2 - Google:
https://t.co/4254XoMgXx

3 - Meta:
https://t.co/MIZrdalSwx

4 - NVIDIA:
https://t.co/HuPIwuVwGl

5 - Microsoft:
https://t.co/M15zByoFNO

6 - OpenAI:
https://t.co/1F51e7erXm

7 - IBM:
https://t.co/RteAzcOxsu

8 - AWS:
https://t.co/3Oc9FJvyT7

9 - https://t.co/elutgAFGsA:
https://t.co/QvtHF8SJQi

10 - Hugging Face:
https://t.co/vpT2KwBPEi

Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.