Ayoub Ait cheikh ahmed’s Post

As a student and developer, here’s how I use AI to shape my learning—and how you can too. AI isn’t just a shortcut. It’s a learning accelerator. Whether you’re just starting or refining your craft, here are a few ways I’ve used AI (especially GPT-based tools) to level up my developer journey: 1. Learn by asking, not Googling. Instead of sifting through endless Stack Overflow threads, I ask AI to explain concepts in plain language—or even with analogies. “Explain closures like I’m 12.” “Compare React and Vue like rival pizza shops.” It works. It sticks. 2. Practice smarter, not harder. I use AI to generate coding challenges tailored to what I’m learning. Want to master recursion? Ask for 5 problems with increasing difficulty. Need help debugging? Paste your code and get instant feedback. 3. Build a personal tutor. I treat AI like a mentor who’s always available. It quizzes me, reviews my code, and even helps me prep for interviews. The key? Be specific with your prompts. The better your question, the better the answer. 4. Think beyond syntax. AI helps me understand architecture, design patterns, and scalability. It’s not just about writing code—it’s about thinking like an engineer. 5. Learn by teaching. Sometimes I ask AI to help me explain a concept to someone else. If I can teach it, I truly understand it. AI won’t replace the grind, but it can reshape how we grow. So if you’re a developer—student or seasoned, start using AI not just to code, but to learn, reflect, and evolve. Let’s build smarter. Let’s learn together. #StudentDev #AIinLearning #GPT5 #DeveloperTips #TechEducation #BuildWithAI #LearningJourney

🚨 New Course Release: Building AI Applications 🚨 Part of our AI Engineering Series, this hands-on course is designed for builders who want to go beyond prompts and actually ship real-world AI apps. You’ll work through 9 end-to-end projects, including: ✔️ Conversational agent with Gemini API ✔️ Daily meal planner using OpenAI + DALL·E ✔️ Document Q&A with LangChain + Pinecone ✔️ Essay writer powered by LangGraph & reasoning agents ✔️ A scientific research assistant with RAG, embeddings, and decision-making agents It’s not theory. It’s building! By the end, you’ll be confident building and deploying AI apps from scratch. 👉 Start today: https://lnkd.in/eWJ3tFJP

AI is Your Learning Superpower. I've been using AI as my study partner for months now, and it's honestly embarrassing how much faster I'm learning. While everyone's debating whether AI will replace us, I'm over here using it to actually get better at my job. The secret? Prompting like you mean it. Here's my cheat sheet: 📋 Task: Be crystal clear about what you want "Explain React hooks with a real example I can code right now" beats "explain React" 🎯 Context: Give your background "I know vanilla JS but React is new to me." "I'm prepping for junior dev interviews" 💡 Exemplars: Ask for concrete examples "Show me good vs bad code examples." "What would a senior dev do differently in my solution?" 🎭 Persona: Make AI your ideal mentor "Act like a patient senior developer." "Be a tough code reviewer who spots my mistakes." 📝 Format: Specify how you want to learn "Step-by-step tutorial with checkpoints" "Quiz me after explaining each concept." 🎨 Tone: Match your learning style "Explain this like we're pair programming." "Be direct—I can handle the brutal truth about my code." Game changer? Ask for feedback loops: "Review my understanding and tell me what I'm missing" or "What questions should I ask myself about this code?" Learning fast isn't about shortcuts—it's about engineering better conversations with your AI tutor. #ALx_FE #Alx_SE #alx_africa #StudyHacks #TechStudents #Learning

Feeling confused about where to start with AI or which skills you should learn next? You’re not alone. In today’s fast-paced world, there’s an overwhelming amount of advice about in-demand skills, trending technologies, and endless online courses—making it easy to feel lost or intimidated. I remember when I first started exploring AI. It felt like standing at the base of a skyscraper, looking up at all the things I didn’t know. The fear of choosing the wrong skill or not being “techy” enough can hold you back from making progress. The pressure to “keep up” makes it even harder. But here’s the good news: You don’t have to figure it all out at once. Start small. Pick a single skill—maybe Python basics, prompt engineering, or data analysis. Dedicate just a few minutes daily to learning and experimenting. You’ll be amazed at the momentum that builds when you focus on consistent, manageable steps. Don’t compare yourself to experts; compare yourself to who you were yesterday. Remember, every expert was once a beginner. If you’re feeling stuck, send me a message or comment below. Let’s grow together and turn confusion into confidence, one skill at a time!

When I started my internship, I had to pick up DevOps. But every course I found had the same 2 problems: 1. Too expensive 2. Too theoretical (little hands-on practice) I wanted to practice - Dockerfiles, Kubernetes configs, Git workflows - but none of the resources gave me that. I even tried using ChatGPT to learn. It helped, but it wasn’t structured. I had to know exactly what to ask, and that slowed me down. That’s when the idea hit me: 👉 Why not combine the structure of a course with the flexibility of AI? That’s how Learn Anything was born 🚀 An AI-powered platform that: - Generates structured courses on any topic - Adapts based on your progress - Gamifies learning so you can actually practice instead of just reading I’ve built the backend (FastAPI + Python), and currently running it locally. Haven’t deployed it yet - but here’s a sneak peek of the idea (sharing my Notion doc for now): https://lnkd.in/guVp5w9q Curious to hear your thoughts 👇 Would you trust an AI-generated course, or do you feel learning needs to stay fully human-designed?

AI is scaling rapidly, but are your teams scaling with it? We recently dropped "A Developer’s Guide to Learning and Using AI”. Every week, I talk to tech enablement leaders to: 🚀 Launch hands‑on AI bootcamps 🔗 Blend traditional coding foundations with prompt‑engineering workshops 🤝 Pair developers with no‑code and pro‑code tools like Claude AI Code or GitHub Copilot early Developers gain AI fluency faster, and transformation accelerates. If you’re still debating where to invest in training, start with pairing Python code fundamentals + AI tool familiarization. It’s where ROI meets readiness. Curious what’s helping others accelerate their AI programs? Let’s chat or connect. P.S. We just dropped a developer's guide to learning AI here: https://lnkd.in/gJWUDtMk

🚀 Exploring the Future of AI-Powered Development: Guru, Cursor, CodeWhisperer & Tabnine AI tools are transforming how we learn, code, and collaborate. Here are four standout platforms I’ve been exploring: 🔹 Guru AI – A smart knowledge assistant for teams and students.   🔹 Cursor AI – A VS Code-native editor that feels like pair programming with AI.   🔹 Amazon CodeWhisperer – AWS-integrated coding companion with real-time suggestions.   🔹 Tabnine AI – A privacy-first code assistant with deep IDE integration and team training features. Each tool brings unique strengths: ✅ Boosts productivity   ✅ Enhances learning and collaboration   ✅ Supports real-time coding and documentation But they also come with trade-offs: ⚠️ Learning curves   ⚠️ Premium features behind paywalls   ⚠️ Occasional inaccuracies Curious to explore them? Here are some great starting points: 🔗 Guru: [getguru.com](https://www.getguru.com/)   🔗 Cursor: [learn-cursor.com](https://lnkd.in/dk4rNy-H)   🔗 CodeWhisperer: [W3Schools Training](https://lnkd.in/d8iNUsPS)   🔗 Tabnine: [tabnine.com](https://www.tabnine.com/) | [Free Tabnine Course](https://lnkd.in/dSGRBGDf) Let’s embrace the AI shift—thoughtfully and strategically.   #AI #Coding #Productivity #TechTools #Tabnine #GuruAI #CursorAI #CodeWhisperer #Innovation #Learning

In a world where AI automates routine coding, the edge lies not in syntax mastery—but in understanding context, architecting solutions, and leading execution. At Great Learning, we’re rethinking upskilling to prepare our students for exactly this future.

Thanks to AI and the internet, I've noticed a completely new way I learn new things. I'm calling it Vibe Learning. Vibe coding = writing code based on instinct and flow, not a strict plan. Vibe learning = studying based on instinct and flow, not a fixed curriculum. Yesterday, I started a book on systems thinking. Midway through chapter 3, I got bored. I hopped on YouTube → fell into a video on Algebraic Topology → clicked into a Substack post about it → dove into Perplexity to research how Grigori Perelman solved the Poincaré Conjecture → stumbled onto a Twitter thread on tech sales → discovered the author had a book with a killer chapter on AI agents for sales pipelines… and the cycle continued. This is how I actually learn these days. Why Vibe Learning Works Serendipity — You find connections others miss because you wander into unexpected territory. Energy-based — You stick with topics that spark you, instead of grinding through ones that don’t. Cross-pollination — You pull frameworks from wildly different fields, leading to original thinking. We live in an age of information abundance. Forcing yourself to finish a book just to “finish” it can be a waste if your curiosity has already moved on. The risk? If you don’t capture what you find, it disappears. That’s why you need a capture system—whether it’s A brain dump in Notion A tweet thread A Substack post Curiosity without capture is noise. Curiosity with capture is compound interest.

Ever felt like learning tech is just juggling 10 tabs and hoping something clicks? This evening, I tried Gemini’s new guided learning feature for JavaScript basics—and it felt more like being taught than just getting answers. Step by step, it built understanding instead of overwhelming me. That’s the real shift: AI not just giving solutions, but creating personalized pathways for learning. 👉 How do you prefer to pick up new tech—structured steps or pure exploration? #ArtificialIntelligence #Learning #Technology #FutureOfWork #Innovation #AI #Upskilling #ContinuousLearning