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Microsoft Learn
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Microsoft Learn
Microsoft
@MicrosoftLearn
Empowering everyone to build skills and achieve more through learning. Spark possibility ✨
Redmond, Washington
aka.ms/AISkillsNaviga…
Joined January 2009
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  • user avatar
    Microsoft Learn
    Microsoft
    @MicrosoftLearn
    Jul 31
    If you're troubleshooting without logs, you're mostly guessing. Logs tell you: • What happened • When it happened • Where it happened That way, you're working from a record, not a hunch.
    33K
  • user avatar
    Microsoft Learn
    Microsoft
    @MicrosoftLearn
    Jul 31
    31,000 developers. Nearly 2,000 agent and app projects. Countless late-night builds 😴. The Agents League champions are here. Check out the winning agentic AI projects and a few ideas you'll probably want to steal for your next build. msft.it/6019aBHaU
    A dark digital poster announcing the “Grand Prize Winner” titled “Afterlogin: The Hunt,” labeled as the 2026 champion. Below the headline, text describes the project as a build that pairs a cinematic night with a coached training game powered by one engine. The lower half shows a screenshot of a dark interface titled “AFTERLOGIN — Live Architecture,” displaying multiple organized columns of system components such as account selection, identity tools, AI services, and gameplay modules.
    A dark graphic announcing the “Creative Apps Winner” for StudyMate. Text congratulates the team for transforming a student’s notes into a personalized, story‑driven study adventure with XP, characters, and built‑in motivation. Below, an illustration shows a computer screen displaying the StudyMate interface, including a cheerful cartoon graduate character and a “Certificate of Achievement” awarded to “Matey” with 200 XP earned. Additional on‑screen text describes how StudyMate lets users upload school material, learn with the character, practice exam questions, earn XP, and unlock a revision PDF.
    A dark graphic announcing the “Reasoning Agents Winner” for DELPHAI. Text introduces DELPHAI as a champion built around an 11‑agent reasoning council that debates, checks math, and refines answers. Below, a computer screen shows the DELPHAI interface with multiple text panels describing how the agents evaluate certification readiness, compute odds, protect wellbeing, and deliver decisions labeled GO, NEGOTIATE, or NO‑GO. Smaller boxes explain how the system takes a user’s goal, debates signals across agents, and produces a grounded plan.
    A dark blue graphic announcing the “Enterprise Agents Winner” for Archon. Text describes Archon as a 7‑agent financial‑intelligence pipeline built into Microsoft Teams that turns raw SMB financial data into actionable insights. Below, a screenshot shows a digital interface titled “Your financial truth is scattered across documents,” with panels representing bank statements, payroll registers, invoices and receipts, and individual pay slips, each highlighting different financial data points that Archon consolidates into a unified view.
    16K
  • user avatar
    Microsoft Learn
    Microsoft
    @MicrosoftLearn
    Jul 31
    Ever notice AI can write you a full essay but get "how many R's in strawberry" wrong? 🍓 Tokens are why. AI doesn't read letter by letter. It breaks your text into chunks called tokens and works with those instead. Small idea, but it explains a lot of what AI gets right, and
    16K
  • user avatar
    Microsoft Learn
    Microsoft
    @MicrosoftLearn
    Jul 30
    | ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄| | Your backup isn't a backup  | | until you've tested the restore | |_______________| (\__/) || (•ㅅ•) || /   づ
    98K
  • user avatar
    Microsoft Learn
    Microsoft
    @MicrosoftLearn
    Jul 30
    This 5-step process is the recipe for turning messy data into insight: 1️⃣ Bring it in: files, apps, and streams flow into one place 2️⃣ Store it: land it in a lake, warehouse, or lakehouse 3️⃣ Clean it: fix errors, remove noise, make it usable 4️⃣ Model it: organize it into tables
    16K
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