Suryakant Chaurasiya

Microsoft just dropped a FREE path to become AI certified all the training materials, study guides, and practice exams are completely free on Microsoft Learn you don't need to pay $5,000 for a bootcamp you don't need a $2,000 udemy bundle you just need Microsoft Learn and discipline the certification path has 3 levels: LEVEL 1: Azure AI Fundamentals (AI-900) your entry point. no prior knowledge needed. no coding required what it covers: - how AI and machine learning work on Azure - computer vision and NLP basics - generative AI workloads - responsible AI principles prep time: 2-4 weeks passing score: 700/1000 training: FREE on Microsoft Learn this cert never expires. once you pass, it's yours forever IMPORTANT: this exam retires June 30, 2026 and gets replaced by AI-901 if you want the current version, MOVE NOW LEVEL 2: Azure AI Engineer Associate (AI-102) this is where it gets real. you're building actual AI solutions what it covers: - Azure OpenAI integration - RAG (retrieval-augmented generation) - AI agents and agentic solutions - computer vision and NLP pipelines - document intelligence - building with Python or C# SDKs Microsoft updated this in 2025 to focus on generative AI and agents (exactly what companies are hiring for right now) prep time: 1-3 months passing score: 700/1000 renewal: every 12 months, FREE online training: FREE on Microsoft Learn this cert alone qualifies you for Azure AI Engineer roles ALSO RETIRES JUNE 30, 2026. the window is closing LEVEL 3: Azure Solutions Architect Expert (AZ-305) the expert tier. you're not just building AI, you're designing entire cloud architectures PRIOR KNOWLEDGE: you need Azure Administrator Associate (AZ-104) first what it covers: - identity and governance solutions - data storage architecture - business continuity planning - full infrastructure design prep time: 2-4 months passing score: 700/1000 renewal: annually, FREE online training: FREE on Microsoft Learn this isn't AI-specific but it's the cert that gets you into the room where AI architecture decisions happen median salary for Azure Solutions Architects: $170k+ the full roadmap: > month 1-2: study and pass AI-900 > month 2-4: study and pass AI-102 > month 4-8: get AZ-104 then AZ-305 total time: 6-8 months all training materials: $0 DISCLAIMER: "but the exams AREN'T free" you're right. they cost $99-$165 each but Microsoft Virtual Training Days give free vouchers for AI-900 students with .edu emails get exams for $0-15 Microsoft Ignite challenges give 50% off and even full price is UNDER $600 for all 3 levels no bootcamp needed no overpriced course needed 3 certs. 6-8 months. and you're certified by the company that powers half the enterprise AI infrastructure on the planet the June 2026 deadline makes this urgent, AI-900 and AI-102 both retire after that START TODAY ❤️ Recommendation: at least complete all free materials, and as you will have this knowledge, buy the exams to get certified if you don't have money to pass them, just get a free knowledge which is confirmed with TOP universities of this world win-win situation anyway

Microsoft just dropped a FREE path to become AI certified all the training materials, study guides, and practice exams are completely free on Microsoft Learn you don't need to pay $5,000 for a bootcamp you don't need a $2,000 udemy bundle you just need Microsoft Learn and discipline the certification path has 3 levels: LEVEL 1: Azure AI Fundamentals (AI-900) your entry point. no prior knowledge needed. no coding required what it covers: - how AI and machine learning work on Azure - computer vision and NLP basics - generative AI workloads - responsible AI principles prep time: 2-4 weeks passing score: 700/1000 training: FREE on Microsoft Learn this cert never expires. once you pass, it's yours forever IMPORTANT: this exam retires June 30, 2026 and gets replaced by AI-901 if you want the current version, MOVE NOW LEVEL 2: Azure AI Engineer Associate (AI-102) this is where it gets real. you're building actual AI solutions what it covers: - Azure OpenAI integration - RAG (retrieval-augmented generation) - AI agents and agentic solutions - computer vision and NLP pipelines - document intelligence - building with Python or C# SDKs Microsoft updated this in 2025 to focus on generative AI and agents (exactly what companies are hiring for right now) prep time: 1-3 months passing score: 700/1000 renewal: every 12 months, FREE online training: FREE on Microsoft Learn this cert alone qualifies you for Azure AI Engineer roles ALSO RETIRES JUNE 30, 2026. the window is closing LEVEL 3: Azure Solutions Architect Expert (AZ-305) the expert tier. you're not just building AI, you're designing entire cloud architectures PRIOR KNOWLEDGE: you need Azure Administrator Associate (AZ-104) first what it covers: - identity and governance solutions - data storage architecture - business continuity planning - full infrastructure design prep time: 2-4 months passing score: 700/1000 renewal: annually, FREE online training: FREE on Microsoft Learn this isn't AI-specific but it's the cert that gets you into the room where AI architecture decisions happen median salary for Azure Solutions Architects: $170k+ the full roadmap: > month 1-2: study and pass AI-900 > month 2-4: study and pass AI-102 > month 4-8: get AZ-104 then AZ-305 total time: 6-8 months all training materials: $0 DISCLAIMER: "but the exams AREN'T free" you're right. they cost $99-$165 each but Microsoft Virtual Training Days give free vouchers for AI-900 students with .edu emails get exams for $0-15 Microsoft Ignite challenges give 50% off and even full price is UNDER $600 for all 3 levels no bootcamp needed no overpriced course needed 3 certs. 6-8 months. and you're certified by the company that powers half the enterprise AI infrastructure on the planet the June 2026 deadline makes this urgent, AI-900 and AI-102 both retire after that START TODAY ❤️ Recommendation: at least complete all free materials, and as you will have this knowledge, buy the exams to get certified if you don't have money to pass them, just get a free knowledge which is confirmed with TOP universities of this world win-win situation anyway

learn.microsoft.com/en-us/training/ There are so many topics for free don't understand the euphoria.

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Most people think using Claude Code is about writing better prompts. It’s not. The real unlock is structuring your repository so Claude can think like an engineer. If your repo is messy, Claude behaves like a chatbot. If your repo is structured, Claude behaves like a developer living inside your codebase. Your project only needs 4 things: • the why → what the system does • the map → where things live • the rules → what’s allowed / forbidden • the workflows → how work gets done I call this: The Anatomy of a Claude Code Project 👇 ━━━━━━━━━━━━━━━ 1️⃣ CLAUDE.md = Repo Memory (Keep it Short) This file is the north star for Claude. Not a massive document. Just three things: • Purpose → why the system exists • Repo map → how the project is structured • Rules + commands → how Claude should operate If CLAUDE.md becomes too long, the model starts missing critical signals. Clarity beats size. ━━━━━━━━━━━━━━━ 2️⃣ .claude/skills/ = Reusable Expert Modes Stop repeating instructions in prompts. Turn common workflows into reusable skills. Examples: • code review checklist • refactoring playbook • debugging workflow • release procedures Now Claude can switch into specialized modes instantly. Result: More consistent outputs across sessions and teammates. ━━━━━━━━━━━━━━━ 3️⃣ .claude/hooks/ = Guardrails Models forget. Hooks don’t. Use hooks for things that must always happen automatically. Examples: • run formatters after edits • trigger tests after core changes • block sensitive directories (auth, billing, migrations) Hooks turn AI workflows into reliable engineering systems. ━━━━━━━━━━━━━━━ 4️⃣ docs/ = Progressive Context Don’t overload prompts with information. Instead, let Claude navigate your documentation. Examples: • architecture overview • ADRs (engineering decisions) • operational runbooks Claude doesn’t need everything in memory. It just needs to know where truth lives. ━━━━━━━━━━━━━━━ 5️⃣ Local CLAUDE.md for Critical Modules Some areas of your system have hidden complexity. Add local context files there. Example: src/auth/CLAUDE.md src/persistence/CLAUDE.md infra/CLAUDE.md Now Claude understands the danger zones exactly when it works in them. This dramatically reduces mistakes. ━━━━━━━━━━━━━━━ Here’s the shift most people miss: Prompting is temporary. Structure is permanent. Once your repository is designed for AI: Claude stops acting like a chatbot... …and starts behaving like a project-native engineer. 🚀

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LTX-2.3 is now live on OpenArt. 🎬 The most capable open video model just got a major upgrade and you can use it right now. What's new in 2.3: → Sharper fine detail: Hair, textures, text, edges. All of it. → Tighter prompt adherence: Complex multi-subject prompts? Handle it. → Stronger image-to-video: less freezing, less Ken Burns drift, more actual motion. → Cleaner audio: fewer artifacts, tighter sync across text-to-video and audio workflows. → Native portrait: up to 1080×1920, trained on vertical data.

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MIT published free AI courses anyone can take. No tuition - just free world-class knowledge. Get the PDF with clickable links: Subscribe free at WildCapital.co Here are 10 free MIT AI courses: 1. Artificial Intelligence Learn core AI principles including reasoning, search, knowledge representation, and machine learning foundations. 🔗 ocw.mit.edu/courses/6-034-… 2. Introduction to Machine Learning A beginner-friendly overview of the main ML techniques and algorithms used in real systems. 🔗openlearninglibrary.mit.edu/courses/course… 3. AI 101 A simple starting point that explains the essential ideas behind artificial intelligence. 🔗 ocw.mit.edu/courses/res-6-… 4. How to AI (Almost) Anything Explore how AI is applied in creative fields like music, art, and perception. 🔗 ocw.mit.edu/courses/mas-s6… 5. Introduction to Deep Learning Hands-on introduction to neural networks and modern deep learning methods. 🔗 introtodeeplearning.com 6. Understanding the World Through Data Learn how to use data analysis and machine learning to interpret real-world problems. 🔗 edx.org/learn/data-sci… 7. Introduction to Algorithms Master the algorithmic thinking required to build efficient AI systems. 🔗 ocw.mit.edu/courses/6-006-… 8. Foundation Models and Generative AI Understand large models and generative AI systems behind tools like ChatGPT. 🔗 ocw.mit.edu/courses/6-s087… 9. Artificial Intelligence in K-12 Education Learn the fundamentals of AI and how it can transform education. 🔗 ocw.mit.edu/courses/6-s062… 10. Minds and Machines Explore the deeper questions about intelligence, cognition, and the nature of AI. 🔗 mitxonline.mit.edu/courses/course… You don’t need expensive courses to learn AI. You need great teachers and consistent practice. Start with one course. Study a little every day. Build real projects as you learn. P.S. Which AI topic are you learning right now? ♻️ Repost this to help someone discover these free MIT resources.

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This is what 99% of people are missing about AI Learn AI in hours, not months Absolutely Free. 1. Claude Skills: substack.com/p/claude-skills 2. AI Slides (PPT in 2026): substack.com/p/powerpoint 3. Claude 101: substack.com/p/claude 4. Claude Cowork + Project: substack.com/p/claude-cowor… 5. Best AI for Search: substack.com/p/grok-420 6. Claude in Excel: substack.com/p/ai-couldnt-d… 7. You're an AI workaholic: substack.com/p/ai-holic 8. Claude Code: substack.com/p/claude-code 9. Setup AI before prompting: substack.com/p/how-to-bette… 10. Nano Banana 2: substack.com/p/banana-2-3bd 11. Claude to sound like you: substack.com/p/i-am-just-a-… 12. 1M followers with AI: substack.com/p/1000000 13. Claude as your computer: substack.com/p/claude-compu… 14. No prompt saves you: substack.com/p/magic 15. Claude for your team: substack.com/p/claude-for-t… 16. Claude interactive charts: substack.com/p/claude-charts 17. Set up Claude Cowork: substack.com/p/claude-cowork 👇Comment "AI" if you find this helpful. Repost so others can take help. Follow me for more. Must bookmark for future reference. Follow @coder_surya for more AI update

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@coder_surya Free courses make AI accessible!