Prince

You do NOT need a CS degree to become an AI Engineer. You need 1 thing: To build. Here's the roadmap I'd follow if I started today: ☑ Learn Python Then: ☑ APIs ☑ GitHub ☑ JSON ☑ Basic DSA Resources: → CS50 → freeCodeCamp → Corey Schafer → w3schools.com Next: Learn how AI actually works. ☑ Machine Learning ☑ Neural Networks ☑ LLMs ☑ Embeddings ☑ Vector Databases Resources: → Andrew Ng → 3Blue1Brown → DeepLearning.AI Then stop consuming. Start building. Projects: → AI Resume Reviewer → AI Chatbot → AI Research Agent → AI Interview Coach Now learn: ☑ OpenAI API ☑ Claude API ☑ RAG ☑ Agents ☑ MCP ☑ Workflows Most people stay in tutorial mode. Don't. Build publicly. Post: → What you learned → What broke → How you fixed it Your GitHub becomes your resume. Your projects become your proof. And your consistency becomes your advantage. Save this roadmap now {3 dots, top right} !! AI is moving fast. But the opportunity is even faster. Start small. Ship weekly. That's how AI Engineers are made. Follow @Princelight_ for more ! 🔁 Repost it to reach more people.

Someone Leaked Windows troubleshooting source code 🤫

Which text editor is best for devs?

Google 's Full Stack Al Ecosystem, bookmark this for tomorrow.

Most people learn prompts. Very few learn AI Engineering. That’s the difference between: using AI and building AI systems. Here’s the complete AI Engineering Master Tree 🌲 ━━━━━━━━━━━━━━━ 📂 AI Engineering ┃ ┣ 📂 Foundations ⚙️ ┃ ┣ Python ┃ ┣ APIs ┃ ┣ JSON ┃ ┣ Git ┃ ┣ Linux ┃ ┗ Cloud Basics ┃ ┣ 📂 LLM Fundamentals 🧠 ┃ ┣ Tokens ┃ ┣ Context Windows ┃ ┣ Embeddings ┃ ┣ Attention ┃ ┣ Fine-Tuning ┃ ┗ Inference ┃ ┣ 📂 Prompt Engineering ✍️ ┃ ┣ Zero-Shot ┃ ┣ Few-Shot ┃ ┣ Chain of Thought ┃ ┣ Structured Outputs ┃ ┣ System Prompts ┃ ┗ Prompt Chaining ┃ ┣ 📂 RAG 🔎 ┃ ┣ Chunking ┃ ┣ Embeddings ┃ ┣ Vector Databases ┃ ┣ Retrieval ┃ ┣ Re-ranking ┃ ┗ Citations ┃ ┣ 📂 AI Agents 🤖 ┃ ┣ Tool Calling ┃ ┣ Memory ┃ ┣ Planning ┃ ┣ Multi-Agent Systems ┃ ┣ Reflection ┃ ┗ Agent Workflows ┃ ┣ 📂 Model Providers 🌐 ┃ ┣ OpenAI ┃ ┣ Anthropic ┃ ┣ Google ┃ ┣ Meta ┃ ┣ Mistral ┃ ┗ DeepSeek ┃ ┣ 📂 Frameworks 🛠️ ┃ ┣ LangChain ┃ ┣ LlamaIndex ┃ ┣ CrewAI ┃ ┣ AutoGen ┃ ┣ Haystack ┃ ┗ PydanticAI ┃ ┣ 📂 Databases 🗄️ ┃ ┣ PostgreSQL ┃ ┣ Redis ┃ ┣ Pinecone ┃ ┣ Weaviate ┃ ┣ Qdrant ┃ ┗ Chroma ┃ ┣ 📂 Deployment ☁️ ┃ ┣ Docker ┃ ┣ Kubernetes ┃ ┣ Serverless ┃ ┣ CI/CD ┃ ┣ Monitoring ┃ ┗ Scaling ┃ ┣ 📂 Evaluation 📊 ┃ ┣ Hallucinations ┃ ┣ Benchmarks ┃ ┣ Tracing ┃ ┣ Human Feedback ┃ ┣ Observability ┃ ┗ Guardrails ┃ ┣ 📂 Production AI 🚀 ┃ ┣ Security ┃ ┣ Cost Optimization ┃ ┣ Caching ┃ ┣ Rate Limits ┃ ┣ Governance ┃ ┗ Reliability ┃ ┗ 📂 Mastery 🏆 ┣ AI Chatbots ┣ AI Search Engines ┣ AI Copilots ┣ Voice Agents ┣ Autonomous Agents ┗ AI Products Most developers stop at: “prompt engineering.” Real AI engineers understand: → retrieval → orchestration → evaluation → deployment → observability → distributed systems That’s where production AI actually happens. Learn these layers and you’ll already be ahead of 90% of AI developers. Save this roadmap for later 🌲 #AI #LLM #AIAgents #AIEngineering #GenAI #MachineLearning #BuildInPublic

AI is changing everything faster than most people expected. The people winning in 2026 will not just use AI casually. They will understand how to work with it strategically. That’s why these AI skills matter more than ever: • Prompt Engineering • AI Workflow Automation • AI Agents • RAG Systems • Multimodal AI • AI Tool Integration • LLM Optimization You don’t need to become an AI engineer overnight. Start with one skill. Practice daily. Build real projects. Stay ahead while others are still watching from the sidelines. The biggest opportunity right now is not replacing humans with AI. It’s humans using AI better than everyone else. Which AI skill are you focusing on in 2026? #AI #ArtificialIntelligence #ChatGPT #AITools #Automation #Tech #FutureOfWork #Innovation

@adelbucetta Follow me and I will follow back ASAP

@Princelight_ the honest answer is that most people get caught up in the preconceived notion of what an ai engineer should be, rather than focusing on actually building something. your roadmap looks solid for a practical approach to getting started with ai engineering.

You do NOT need a CS degree to become an AI Engineer. You need 1 thing: To build. Here's the roadmap I'd follow if I started today: ☑ Learn Python Then: ☑ APIs ☑ GitHub ☑ JSON ☑ Basic DSA Resources: → CS50 → freeCodeCamp → Corey Schafer → w3schools.com Next: Learn how AI actually works. ☑ Machine Learning ☑ Neural Networks ☑ LLMs ☑ Embeddings ☑ Vector Databases Resources: → Andrew Ng → 3Blue1Brown → DeepLearning.AI Then stop consuming. Start building. Projects: → AI Resume Reviewer → AI Chatbot → AI Research Agent → AI Interview Coach Now learn: ☑ OpenAI API ☑ Claude API ☑ RAG ☑ Agents ☑ MCP ☑ Workflows Most people stay in tutorial mode. Don't. Build publicly. Post: → What you learned → What broke → How you fixed it Your GitHub becomes your resume. Your projects become your proof. And your consistency becomes your advantage. Save this roadmap now {3 dots, top right} !! AI is moving fast. But the opportunity is even faster. Start small. Ship weekly. That's how AI Engineers are made. Follow @Princelight_ for more ! 🔁 Repost it to reach more people.

@adelbucetta You're right, thank you for this awesome reply💯

@SSXToTheMoon Nice one, follow me and I will follow back ASAP

Pythonを学ぶ必要があります。これから始めるならCS50、freeCodeCamp、Corey Schafer、w3schools.comの資源を利用してください。AIの仕組みを学びましょう。機械学習、ニューラルネットワーク、LLMs、埋め込み、ベクトルデータベースについてです。そして、積極的にプロジェクトを構築していきましょう。GitHubがあなたの履歴書となり、プロジェクトが証明となり、積極性があなたの強みとなります。AIエンジニアになる手順を保存してください！

@neongenesisev17 6 Months

@Princelight_ And how long will it take from being a rookie to start building 6 months or 1 year

@aiwithchuks Thank you

@Princelight_ This really comprehensive.

@Tech_p001 Thank you 💯

@Princelight_ Well structured and organized cheatsheet

@dreamscale_ @compileandpush Absolutely 💯

@compileandpush @Princelight_ to be honest it's a bit of both

AI builders, devtool founders & SaaS people 👋 Looking to #connect with people building weird things with AI. especially into: 🧱 B2B SaaS ⚡ AI coding agents 🤖 Cursor, Claude Code & Codex 🖥️ terminals, MCPs & workflows 🚀 AI-native products I’m currently building an AI code editor: terminal-first, multi-agent, BYOK, worktrees, persistent context, visual diffs, rollback, cleaner UX. drop what you’re building. I’ll reply to every serious builder.

How to Learn Claude in 12 Days (This will save you 2+ hours every day) Most people use Claude like a chatbot. Ask a question. Get an answer. Repeat. Big mistake. Claude is becoming an operating system for knowledge work. Here's a 12-day roadmap based on real Claude workflows: ☀️ DAY 1: Build CLI Tools Goal: Turn ideas into working tools. → Open Claude Code → Describe a tool in plain English → Let Claude generate and run it No frameworks. No boilerplate. Just describe → build. ☀️ DAY 2: Create an MCP Server Goal: Give Claude new capabilities. → Pick a tool or API you use often → Define endpoints and authentication → Let Claude generate the server Now Claude can interact with your systems directly. ☀️ DAY 3: Build a Personal RAG Goal: Make Claude remember your knowledge. → Upload notes, docs, and PDFs → Connect Google Drive, Notion, or Gmail → Ask questions across everything Your second brain becomes searchable. ☀️ DAY 4: Understand Any Codebase Goal: Learn unfamiliar code fast. → Drop in a GitHub repo → Ask for architecture breakdowns → Follow guided walkthroughs Hours of reading become minutes. ☀️ DAY 5: Practice Interviews Goal: Improve faster than studying alone. → Pick a role → Choose an interview type → Let Claude act as interviewer Get feedback after every answer. ☀️ DAY 6: Automate the Browser Goal: Stop doing repetitive web tasks. → Tell Claude what you need → Let it navigate websites → Complete tasks automatically Research becomes delegation. ☀️ DAY 7: Tailor Every Resume Goal: Apply smarter. → Paste a job description → Upload your resume → Ask Claude to optimize for ATS Customized applications in minutes. ☀️ DAY 8: Schedule Cloud Routines Goal: Work while you sleep. → Create recurring tasks → Schedule reports or research → Wake up to completed work Productivity without active effort. ☀️ DAY 9: Design Faster Goal: Go from idea to visual. → Describe a landing page → Describe a pitch deck → Let Claude generate drafts Blank-page syndrome disappears. ☀️ DAY 10: Run Multi-Agent Reviews Goal: Get multiple perspectives. → Assign different review roles → Let agents inspect code independently → Compare recommendations One review becomes many. ☀️ DAY 11: Use Auto Mode Goal: Delegate entire workflows. → Give Claude a specification → Let it plan, code, test, and review → Ship end-to-end You manage outcomes, not steps. ☀️ DAY 12: Build Custom Skills Goal: Create reusable expertise. → Save recurring workflows → Turn prompts into commands → Reuse them forever Your best workflows become one-click actions. Most people use Claude for answers. Power users use Claude for systems. The difference isn't intelligence. It's setup. Do this instead of scrolling: → Save this post → Start Day 1 today (10 minutes) → Complete one day at a time → Come back in 12 days You'll never use AI the same way again. 🚀

How to Learn Claude in 12 Days (This will save you 2+ hours every day) Most people use Claude like a chatbot. Ask a question. Get an answer. Repeat. Big mistake. Claude is becoming an operating system for knowledge work. Here's a 12-day roadmap based on real Claude workflows: ☀️ DAY 1: Build CLI Tools Goal: Turn ideas into working tools. → Open Claude Code → Describe a tool in plain English → Let Claude generate and run it No frameworks. No boilerplate. Just describe → build. ☀️ DAY 2: Create an MCP Server Goal: Give Claude new capabilities. → Pick a tool or API you use often → Define endpoints and authentication → Let Claude generate the server Now Claude can interact with your systems directly. ☀️ DAY 3: Build a Personal RAG Goal: Make Claude remember your knowledge. → Upload notes, docs, and PDFs → Connect Google Drive, Notion, or Gmail → Ask questions across everything Your second brain becomes searchable. ☀️ DAY 4: Understand Any Codebase Goal: Learn unfamiliar code fast. → Drop in a GitHub repo → Ask for architecture breakdowns → Follow guided walkthroughs Hours of reading become minutes. ☀️ DAY 5: Practice Interviews Goal: Improve faster than studying alone. → Pick a role → Choose an interview type → Let Claude act as interviewer Get feedback after every answer. ☀️ DAY 6: Automate the Browser Goal: Stop doing repetitive web tasks. → Tell Claude what you need → Let it navigate websites → Complete tasks automatically Research becomes delegation. ☀️ DAY 7: Tailor Every Resume Goal: Apply smarter. → Paste a job description → Upload your resume → Ask Claude to optimize for ATS Customized applications in minutes. ☀️ DAY 8: Schedule Cloud Routines Goal: Work while you sleep. → Create recurring tasks → Schedule reports or research → Wake up to completed work Productivity without active effort. ☀️ DAY 9: Design Faster Goal: Go from idea to visual. → Describe a landing page → Describe a pitch deck → Let Claude generate drafts Blank-page syndrome disappears. ☀️ DAY 10: Run Multi-Agent Reviews Goal: Get multiple perspectives. → Assign different review roles → Let agents inspect code independently → Compare recommendations One review becomes many. ☀️ DAY 11: Use Auto Mode Goal: Delegate entire workflows. → Give Claude a specification → Let it plan, code, test, and review → Ship end-to-end You manage outcomes, not steps. ☀️ DAY 12: Build Custom Skills Goal: Create reusable expertise. → Save recurring workflows → Turn prompts into commands → Reuse them forever Your best workflows become one-click actions. Most people use Claude for answers. Power users use Claude for systems. The difference isn't intelligence. It's setup. Do this instead of scrolling: → Save this post → Start Day 1 today (10 minutes) → Complete one day at a time → Come back in 12 days You'll never use AI the same way again. 🚀

How to Learn Claude in 12 Days (This will save you 2+ hours every day) Most people use Claude like a chatbot. Ask a question. Get an answer. Repeat. Big mistake. Claude is becoming an operating system for knowledge work. Here's a 12-day roadmap based on real Claude workflows: ☀️ DAY 1: Build CLI Tools Goal: Turn ideas into working tools. → Open Claude Code → Describe a tool in plain English → Let Claude generate and run it No frameworks. No boilerplate. Just describe → build. ☀️ DAY 2: Create an MCP Server Goal: Give Claude new capabilities. → Pick a tool or API you use often → Define endpoints and authentication → Let Claude generate the server Now Claude can interact with your systems directly. ☀️ DAY 3: Build a Personal RAG Goal: Make Claude remember your knowledge. → Upload notes, docs, and PDFs → Connect Google Drive, Notion, or Gmail → Ask questions across everything Your second brain becomes searchable. ☀️ DAY 4: Understand Any Codebase Goal: Learn unfamiliar code fast. → Drop in a GitHub repo → Ask for architecture breakdowns → Follow guided walkthroughs Hours of reading become minutes. ☀️ DAY 5: Practice Interviews Goal: Improve faster than studying alone. → Pick a role → Choose an interview type → Let Claude act as interviewer Get feedback after every answer. ☀️ DAY 6: Automate the Browser Goal: Stop doing repetitive web tasks. → Tell Claude what you need → Let it navigate websites → Complete tasks automatically Research becomes delegation. ☀️ DAY 7: Tailor Every Resume Goal: Apply smarter. → Paste a job description → Upload your resume → Ask Claude to optimize for ATS Customized applications in minutes. ☀️ DAY 8: Schedule Cloud Routines Goal: Work while you sleep. → Create recurring tasks → Schedule reports or research → Wake up to completed work Productivity without active effort. ☀️ DAY 9: Design Faster Goal: Go from idea to visual. → Describe a landing page → Describe a pitch deck → Let Claude generate drafts Blank-page syndrome disappears. ☀️ DAY 10: Run Multi-Agent Reviews Goal: Get multiple perspectives. → Assign different review roles → Let agents inspect code independently → Compare recommendations One review becomes many. ☀️ DAY 11: Use Auto Mode Goal: Delegate entire workflows. → Give Claude a specification → Let it plan, code, test, and review → Ship end-to-end You manage outcomes, not steps. ☀️ DAY 12: Build Custom Skills Goal: Create reusable expertise. → Save recurring workflows → Turn prompts into commands → Reuse them forever Your best workflows become one-click actions. Most people use Claude for answers. Power users use Claude for systems. The difference isn't intelligence. It's setup. Do this instead of scrolling: → Save this post → Start Day 1 today (10 minutes) → Complete one day at a time → Come back in 12 days You'll never use AI the same way again. 🚀

10 Proven Ways to Get Beter Results from Claude 🚀 1️⃣ Be clear & specific 2️⃣ Use structured prompts 3️⃣ Give examples 4️⃣ Break tasks into steps 5️⃣ Iterate & refine 6️⃣ Set the tone 7️⃣ Add constraints 8️⃣ Use integrations 9️⃣ Let Claude ask questions Better prompts → Better outputs

@vladsiu Nice one Follow me and I will follow back ASAP

Hey 👋 I'm building Earnova, a real-time income tracker that helps you visualize earnings, connect daily work to real goals, and understand the value of your time. See how your time turns into money! App Store link: apple.co/4t6tqwS Google Play link: play.google.com/store/apps/det…

@i_am_jeganraj Follow me and I will follow back ASAP

@Princelight_ Let’s connect

@dangi_dp I just followed back

@Princelight_ Done