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wicky.eth

@WaqarWicky85

Traveler, A. I & an e-commerce specialist

Karachi Katılım Kasım 2012
1.2K Takip Edilen110 Takipçiler
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Rohit
Rohit@ai_rohitt·
Claude just dropped 13 free AI courses (with certificates). No $500 course needed. No “guru” required. Just real skills, straight from Anthropic. Here’s the full list: 1. Claude 101 lnkd.in/gCPUQsRg 2. AI Fluency: Frameworks & Foundations lnkd.in/gS6ceZ_M 3. Introduction to Agent Skills lnkd.in/g_wWNiEb 4. Building with the Claude API lnkd.in/gDr5K_B4 5. Claude Code in Action lnkd.in/g9wWZbK9 6. Introduction to Model Context Protocol lnkd.in/gAj5HqMY 7. MCP: Advanced Topics lnkd.in/g3eDwBFY 8. AI Fluency for Students lnkd.in/gKKujHGG 9. AI Fluency for Educators lnkd.in/gVcKnuhA 10. Teaching AI Fluency lnkd.in/g9P4gJFM 11. AI Fluency for Nonprofits lnkd.in/gpsm_BVf 12. Claude with Amazon Bedrock lnkd.in/gbfPjSFt 13. Claude with Google Vertex AI lnkd.in/gvVgB4Ub If you go through even half of these, you’ll be ahead of 95% of people using AI. Most people won’t. Because they’re still watching random YouTube videos, buying overpriced courses, or “learning AI” without actually building. Don’t be that person. Do this instead: 1. Bookmark this post (you’ll come back) 2. Pick 1 course and start today 3. Share it with someone who needs this Comment "Course" for more resources. Free. Practical. No excuses.
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Brij Pandey
Brij Pandey@LearnWithBrij·
Most people use Claude Code like autocomplete. But Claude Code is actually a full agent operating system. And most engineers are only using Layer 1. Here’s the architecture nobody explains properly: 🧠 Layer 1 — CLAUDE.md This is the agent’s constitution. Your: → architecture rules → coding standards → repo structure → naming conventions → workflows All live here. Always loaded. Always active. This is what turns Claude from “generic AI” into “your engineering team’s AI.” 📚 Layer 2 — Skills Reusable expertise modules. Claude dynamically loads the right SKILL.md only when needed. That means: → cleaner context → lower token usage → specialized execution → less hallucination The important part most people miss: Skills can fork into isolated subagents. So your main context stays clean while deep tasks execute separately. This is where Claude starts feeling agentic instead of conversational. 🛡️ Layer 3 — Hooks The most underrated layer in the stack. Hooks are deterministic infrastructure triggers: → PreToolUse → PostToolUse → SessionStart → Stop This is NOT AI reasoning. It’s programmable guardrails. Examples: → auto-run linting → block dangerous bash commands → enforce repo policies → send Slack notifications → auto-format outputs → inject runtime context Production reliability happens here. Most teams skip this layer completely. Huge mistake. 🤝 Layer 4 — Subagents This is where Claude Code becomes a true multi-agent system. Delegate tasks downward. Receive results upward. Each subagent gets: → isolated context → separate tools → different permissions → independent models No context bleed. No recursive chaos. Hard boundaries by design. You stop thinking: “One AI assistant” And start thinking: “Distributed cognitive workers.” 📦 Layer 5 — Plugins The distribution layer. Bundle: → skills → hooks → commands → agents → workflows into one installable package. One command: Entire team inherits the same behavior instantly. This is how organizations operationalize agentic engineering. Not prompts. Infrastructure. The gap between: “AI demo” and “Production-grade agent system” is usually one of these five layers. Most people are still prompting. A few are engineering cognition. That’s the real shift happening right now. Follow for deep dives on Claude Code, MCP, Hooks, multi-agent systems, and agentic AI architecture.
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AI_Explorer
AI_Explorer@ai_explorer25·
Learn AI for free directly from top companies. 1 - Anthropic: anthropic.skilljar.com 2 - Google: grow.google/ai 3 - Meta: ai.meta.com/resources/ 4 - NVIDIA: developer.nvidia.com/cuda 5 - Microsoft: learn.microsoft.com/en-us/training/ 6 - OpenAI: academy.openai.com 7 - IBM: skillsbuild.org 8 - AWS: skillbuilder.aws 9 - DeepLearning.AI: deeplearning.ai 10 - Hugging Face: huggingface.co/learn Comment "Learning" if you find this helpful. Repost so others can take help. Must bookmark for future reference.
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Brij Pandey
Brij Pandey@LearnWithBrij·
AI AGENT STACK — MASTER TREE 🌲 AI Agents │ ├── 01. Foundation Layer │ ├── LLMs │ │ ├── GPT-4.1 │ │ ├── Claude │ │ ├── Gemini │ │ └── DeepSeek │ │ │ ├── Prompting │ │ ├── System Prompts │ │ ├── Few-shot │ │ ├── Chain of Thought │ │ └── Structured Output │ │ │ └── Context │ ├── Memory │ ├── RAG │ ├── Vector DB │ └── Knowledge Graphs │ ├── 02. Agent Brain │ ├── Planning │ │ ├── Task Breakdown │ │ ├── Goal Routing │ │ └── Reflection │ │ │ ├── Reasoning │ │ ├── ReAct │ │ ├── Tree of Thoughts │ │ ├── Multi-Agent Debate │ │ └── Self-Correction │ │ │ └── Decision Engine │ ├── Tool Selection │ ├── Memory Retrieval │ └── Action Prioritization │ ├── 03. Tool Layer │ ├── Web Search │ ├── Browser Automation │ ├── Code Execution │ ├── APIs │ ├── Database Access │ └── File Systems │ ├── 04. Agent Workflows │ ├── Research Agents │ ├── Coding Agents │ ├── Sales Agents │ ├── Customer Support Agents │ ├── Content Agents │ └── Autonomous Workflows │ ├── 05. Multi-Agent Systems │ ├── Manager Agent │ ├── Worker Agents │ ├── Reviewer Agents │ ├── Specialized Skills │ └── Shared Memory Bus │ ├── 06. Infrastructure │ ├── LangGraph │ ├── CrewAI │ ├── OpenAI Agents SDK │ ├── MCP │ ├── Docker │ └── Kubernetes │ ├── 07. Observability │ ├── Logs │ ├── Traces │ ├── Evaluations │ ├── Hallucination Checks │ └── Cost Monitoring │ ├── 08. Security Layer │ ├── Sandboxing │ ├── Permission Control │ ├── Secret Management │ ├── Guardrails │ └── Human Approval Loops │ └── 09. Future of Agents ├── Voice Agents ├── Computer Use ├── AI Employees ├── Self-Improving Agents └── Autonomous Companies Most people use AI like a chatbot. The next generation will use AI like an operating system.
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wicky.eth
wicky.eth@WaqarWicky85·
Machine Learning → youtube.com/watch?v=i_LwzR… LLM → Search "freeCodeCamp LLM Course" Generative AI → Search "freeCodeCamp Generative AI"
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wicky.eth
wicky.eth@WaqarWicky85·
🚀 20 Completely FREE Programming Courses for 2026! No paid certificates. No credit card. Just pure learning. From Python to Generative AI — perfect for beginners & career switchers. Save this thread 👇 & start coding today! #Programming #LearnToCode #FreeCourses #2026
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Zayden Tech
Zayden Tech@ZaydenTech·
Claude is a money-making machine if you know how to use it. Here's the ultimate guide in English. Prompts, skills, Claude Code, monetization… it has everything. FREE for 24 hours only! To get it: 1. Like & Bookmark 2. Comment "4.6" 3. Follow me to receive a DM
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NadzAI
NadzAI@NadzuAI·
🚨 Claude just changed the game. All you need is: 💻 A laptop 🌐 Internet connection ⏰ 60 minutes a day That’s enough to build a $5,000–$10,000/month online income stream using AI. No coding. No expensive setup. No years of experience. Most people still use AI for fun… But smart creators are quietly using Claude to: • Create digital products • Offer AI services • Write viral content • Automate boring work • Build online income streams I simplified everything into a step-by-step system beginners can follow 👇 Inside you'll discover: ✅ The exact method ✅ My complete AI workflow ✅ Powerful Claude prompts ✅ How to scale faster ✅ Beginner-friendly setup Usually, I charge for this guide… But today you can get it FREE 🎁 Want it? ❤️ Like this post 💬 Comment “AI” ➕ Follow me to receive it in DM ⏳ Available FREE for 48 hours only.
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Jami
Jami@expertwith_AI·
Kids animation is the most underrated money niche on YouTube 💸 No face. No voice needed. No trends. Just stories + consistency. One channel: 721K subs 24 videos This is not luck. It’s niche selection. Want the blueprint? Comment “KIDS” 👇 Follow me🙏
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wicky.eth
wicky.eth@WaqarWicky85·
Want to learn or help in that connect on waqar_wicky85@hotmail.com
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Hasanuzzaman Khan
Hasanuzzaman Khan@hasan28d·
99% of the AI agent tutorials on YouTube are garbage. I’ve built 47 agents with n8n and Claude. Here are the 3 prompts that actually work (and make agent-building simple). Bonus: comment "Agent: and I’ll DM you AI agent system prompt + full guide ↓
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Onil Coder
Onil Coder@Onil_coder·
120 + Mind blowing AI tools 🔥 1. Ideas - Claude - ChatGPT - Bing Chat - Perplexity - Copilot 2. Website - Dora - 10Web - Framer - Unicorn - Style AI 3. Writing - Jasper - HIX AI - Longshot - Textblaze - Jenny AI 4. Meeting - Tldv - Krisp - Otter - Fathom - Sembly AI 5. Chatbot - Droxy - Chatbase - Chatsimple - CustomGPT - Mutual info 6. Automation - Make - Zapier - Xembly - Bardeen - Levity 7. UI/UX - Figma - UiMagic - Uizard - InstantAI - Penpot 8. Image - Dreamina AI - Leap AI - Midjourney - Stability AI - Fotor 9. Video - Dreamina AI - HeyGen - InVideo - Eightify - Morphstudio xyz 12. Audio - Lovo ai - Eleven labs - Songburst AI - Adobe Podcast - Resemble AI 13. Presentation - Decktopus - Slides AI - Pitch - Designs AI - Beautiful AI 14. SEO - VidIQ - Seona AI - BlogSEO - Keywrds ai - Semrush 15. Design - Canva - Flair AI - Designify - Clipdrop - Magician design 16. Logo Generator - Looka - Designs AI - Brandmark - Stockimg AI - Namecheap 17. Prompts - FlowGPT - Alicent AI - PromptBox - Promptbase - Snack Prompt 18. Productivity - Merlin - Tinywow - Notion AI - Adobe Sensei - Personal AI 19. Marketing - Pencil - Ai-Ads - AdCopy - Simplified - AdCreative 20. Twitter - Typefully - Tweetlify - Tapilo - Hypefury - TweetHunter
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