Yusuf @Northman005
Founder:MomenCodeLab|| MobileFlutter|| IT Software Engineer|| Kano❤ IT space Joined May 2022-
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Ireland captain Séamus Coleman says he will support any player who refuses to play with Israel over the genocide in Palestine
I will continue making Islam the main topic of my defense and admiration. Never shall I back down as long as Islam and muslims are under attack. Don’t like it, unfollow me.
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Before You Buy That Laptop, Read This! Too many people are buying laptops they don’t understand. You just walk in, see “Intel dual core”, the seller smiles, you pay ₦120K… Then two weeks later, you’re crying because it’s slow. First, understand this: the processor is the brain. It decides how fast your laptop can think. And just like people, some brains think faster than others. Now, there are three main families ruling the streets: Intel. AMD. Apple M-Series. Let’s break them down: ⚙️ 1. INTEL: The OG in the game. Intel has been running this show for decades. But inside Intel, there are different “levels” of brains. Here’s what they mean: A. Intel Celeron → For typing, browsing, YouTube. It’s weak. Don’t buy it if you’re doing serious work. B. Intel Pentium → A little better, but still entry-level. Good for office basics, not creative work. C. Intel Core Series → This is where the real work happens. a. Core i3 → For students, writers, and light users. b. Core i5 → Balanced for freelancers, designers, and marketers. c. Core i7 → Power user level — for editors, coders, and cybersecurity pros. d. Core i9 → Monster. Expensive, but built for high-end creators and gamers. Pro Tip: Don’t waste money on i9 because it sounds “pro.” If all you do is Word, Canva, and Core i5 will serve you like royalty. 🔥 2. AMD: The Quiet Beast AMD came for Intel’s neck and it’s been a beautiful fight. Their processors are called Ryzen. Ryzen gives you strong performance for less money. Here’s the power scale: Ryzen 3 = Core i3 Ryzen 5 = Core i5 Ryzen 7 = Core i7 Ryzen 9 = Core i9 Bonus: AMD has better built-in graphics. So if you design, edit, or game Ryzen 5 or 7 gives you crazy value. 3. Apple M-Series: The Silent Assassin Then Apple said, “Forget Intel, we’ll make our own.” And they dropped M1, M2, M3and now M4. These chips are super-efficient, quiet, fast, and smooth like butter. But they live only inside MacBooks. M1 is great. M2 is faster. M3 is for the gods. M4 the beast. Note: They’re expensive, but worth it if you live inside the Apple ecosystem. I do hope you learned something Here. Tommorow we talk about RAM and Storage. ©SoniaStyle
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He first revolted against Trump🔥 He influenced 🇫🇷Macron to revolt🔥 He influenced 🇬🇧Starmer to revolt🔥 He influenced 🇦🇺Albanese to revolt🔥 He influenced 🇹🇷Erdogan to revolt🔥 He influenced 🇭🇺Péter to revolt🔥 He finally influenced 🇮🇹Meloni to revolt🔥 Meet 🇪🇸 Spanish PM Pedro Sánchez the man with spine and courage who destroyed the propaganda of Trump and Netanyahu duo in front of the whole world.⚡️🔥🔥 What a leader 🫡🫡🫡
How to Get a Developer Job in 3 Months 🚀 🔥 Month 1: Foundations + Momentum 📚 Learn HTML, CSS, JavaScript (basics) 🧠 Understand how the web works (browser, DOM) 💻 Build 1–2 simple websites (landing page) 🌐 Learn Git & GitHub (push projects from day one) 🛠️ Month 2: Projects That Matter 🧱 Strengthen JavaScript fundamentals 🖼️ Build 2–3 small projects 📱 Make projects responsive 🎨 Learn basic UI/UX principles 📂 Start organizing a portfolio repo ⚡ Month 3: Job-Ready Mode ⚛️ Learn one framework (React or Vue – basics) 🔗 Work with APIs & fetch 🧑💼 Polish GitHub + LinkedIn 🌐 Launch a simple portfolio site 📝 Prepare CV & cover letter 📨 Apply to 2–3 jobs/day 💬 Start networking (Discord, X, LinkedIn) 💻 Practice interview questions (JS + logic) 🔁 Daily Rule ⏱️ Code at least 1–2 hours/day 📈 Build → Apply → Learn → Repeat
Code For Africa (CfA) is offering a paid AI fellowship focused on solving real challenges across Africa using ethical and responsible AI. This is a hands-on opportunity to work with human rights and civic organizations, building practical tools—from multilingual assistants to systems that track harmful narratives. What stands out is the clear focus on impact and responsibility. Not just building AI, but building solutions that are inclusive, context-aware, and meaningful for communities. 📌 4-month fellowship 💰 $500/month stipend 🌍 Open to applicants across multiple African countries 📅 Deadline: May 11 Apply here: cfa.fyi/HZ30Kp5 #AI #EthicalAI #AIForGood #AfricaTech #Fellowship #Opportunities #ResponsibleAI #TechForImpact
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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 • “Learning AI” without actually building Don’t be that person. Do this instead: 1. Save this post (you’ll come back to it) 2. Pick 1 course → start today 3. Share it with someone who needs this Free. Practical. No excuses.
Claude FULL COURSE 1 HOUR (Build & Automate Anything)
Instead of watching Netflix tonight. Spend a day mastering Claude here: claude101.com → Level 1 - 24 min: The basics. Claude For Dummies: ruben.substack.com/p/claude-for-d… Claude Setup: how-to-claude.ai → Level 2 - 1 hour: Real workflows. Claude Cowork: claude-co.work Claude for teams: how-claude.team Claude Design: claudedesign.free Cowork + Projects: ruben.substack.com/p/claude-cowor… Claude for slides: how-to-gamma.ai Claude Skills: claude-skills.free → Level 3 - 3.5 hours: The pro moves. Avoid sycophancy: ruben.substack.com/p/i-love-to-be… Claude Code: claudecode.free Claude 101: anthropic.skilljar.com/claude-101 Stop hitting Claude limits: ruben.substack.com/p/how-to-stop-… Stop Prompting: ruben.substack.com/p/stop-prompti… → Level 4 - 8 hours: Expert mode. Claude Computer: ruben.substack.com/p/claude-compu… Build with Claude API: anthropic.skilljar.com/claude-with-th… Pro tip: Don't binge it. Do one level per sitting. Actually apply each guide before moving to the next
Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow @codewithimanshu. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on @codewithimanshu. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. @codewithimanshu. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on @codewithimanshu. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. @codewithimanshu. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. @codewithimanshu. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.
I spent 6 months learning Claude Code the hard way. Every mistake. Every workflow that did not work. Every prompt I had to rewrite 10 times before it clicked. I turned all of it into a free masterclass: THE CLAUDE CODE MASTERCLASS. Zero to shipping your first project alone. No CS degree. No team. No guesswork. Inside you get: - The reframe that changes how you use Claude Code forever - The CLAUDE .md template that makes every session 10x more powerful - The 4-layer prompt architecture that scales to any project - MCP server setup nobody is teaching yet - The 6-phase sequence to go from idea to deployed in a weekend - 10 ready-to-run workflows you can copy right now The people who read this tonight will be building things next week that most developers still cannot do with a team. I should be charging $199 for this. It is free. Comment CLAUDE and I will send it to you directly. RT if you know someone who needs to see this.
Stop wasting hours trying to learn AI. One list. Zero confusion. No fluff. I’ve already done the hard work for you 👇 📄 Complete AI Learning Document docs.google.com/document/u/0/d… What’s inside: 📹 Videos LLMs, Agentic AI, real-world breakdowns (Stanford + more) 🗂️ GitHub Repos GenAI agents, prompt engineering, hands-on LLMs, beginner → advanced 🗺️ Guides & Whitepapers Google, Anthropic, practical agent design 🧑🏫 Courses Hugging Face, MCP, Vector DBs, end-to-end agent systems 📚 Books From fundamentals to LLM engineering 📜 Research Papers ReAct, Generative Agents, Toolformer, and more 📩 Newsletters Stay updated without doomscrolling Everything is curated, sequenced, and practical. No random bookmarks. No hype. ♻️ Repost for your network ❤️ Like · 🔖 Save ➕ Follow for more on AI Agents & real-world GenAI
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ApparenceKit @apparencekit
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