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Google just released the best 1-hour course on Graph Engineering: from single agent to a full 24/7 system 00:00 - What Graphs are 09:16 - Build an agent 21:15 - Graph engineering explained 41:03 - Graph engineering practice 52:21 - Self improving Graphs Free, the best thing on Graph... show more

Mahax

12,018 subscribers

145,123 просмотров • 2 месяцев назад •via X (Twitter)

Наука и технологии Образование Новости и политика

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Комментарии: 15

Фото профиля ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️

ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️2 месяцев назад

Stolen Authority post. The person you linked to didn’t endorse this content. It’s your content appended to look as if they did. Shame.

Фото профиля 급여노동자에서자산소유자로

급여노동자에서자산소유자로2 месяцев назад

Who is she?

Фото профиля Kevin Mitton

Kevin Mitton2 месяцев назад

Could you share the link to the Google course?

Фото профиля kadd

kadd2 месяцев назад

A free course covering all of this is honestly nice

Фото профиля luan au

luan au2 месяцев назад

Automation making use of AI language models?

Фото профиля ✘

✘2 месяцев назад

Graphs is just UML.

Фото профиля Joel Loh

Joel Loh2 месяцев назад

that's actually insane. This will definitely take my ai workflow to the next level

Фото профиля Ricker

Ricker2 месяцев назад

really useful stuf bro

Фото профиля Neo

Neo2 месяцев назад

Spot on! Loop-based agents are great for basic linear tasks, but graph engineering is essential once you need control, predictability, and parallel state handling

Фото профиля Obvious Mafunga

Obvious Mafunga2 месяцев назад

这波真的可以图工程讲得挺清楚从单agent到24/7系统免费教程里算良心了收藏了有空看看

Фото профиля Webster | JARVIS

Webster | JARVIS2 месяцев назад

saving this, the self-improving graphs part is what got me

Фото профиля magsimich

magsimich2 месяцев назад

graph engineering is the meta

Фото профиля David Starmac Ai

David Starmac Ai2 месяцев назад

The self-improving graphs part at 52:21 is the one I'm skeptical about. In practice they drift fast without a human checking what the graph actually changed before it goes live.

Фото профиля LEX

LEX2 месяцев назад

Carl Hewitt shipped the Actor Model in 1973: independent nodes, message passing, no shared state. LangGraph and every 2025 framework is Actor reheated.

Фото профиля RemoteBrowser

RemoteBrowser2 месяцев назад

The self-improving graphs part is the real unlock. Curious if they cover failure recovery or just optimization loops?

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Google just released free 2-hour course on full Graph & Loop engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%: 0% → 0:35 - Graph engineering from scratch 30% → 31:17 - build your first agents graph 45% → 43:40 - run hundreds agents in parallel 75% → 1:04:58 - Loop engineering: route, check, repeat 100% → 1:30:09 - self-improving graphs that work while you sleep most people keep stuffing instructions into one agent - the real upgrade is a graph that routes, checks, and rebuilds the workflow at runtime learn graph from Google, ship your first - then unlock the complete system design below ↓

codila

380,848 просмотров • 2 месяцев назад

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

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Lunar

53,015 просмотров • 3 месяцев назад

Google just released a free 2-hour course on Graph & Loop engineering: 1 prompt → 100 agents → loops → graphs, from 0% to 100%: 0% → 0:35 - graph engineering from scratch 30% → 31:17 - build your first agent graph 45% → 43:40 - run hundreds of agents in parallel 75% → 1:04:58 - loop engineering: route, check, repeat 100% → 1:25:09 - self-improving graphs that work while you sleep taught by the people who run this in production Prompts → Agents → Loops → Graphs most people keep stuffing instructions into one agent, and the real upgrade is one layer up same model, same tokens, and the only thing that changes is the shape you run it in watch it today, then save the full graph engineering guide below

Google just released a free 2-hour course on Graph & Loop engineering: 1 prompt → 100 agents → loops → graphs, from 0% to 100%: 0% → 0:35 - graph engineering from scratch 30% → 31:17 - build your first agent graph 45% → 43:40 - run hundreds of agents in parallel 75% → 1:04:58 - loop engineering: route, check, repeat 100% → 1:25:09 - self-improving graphs that work while you sleep taught by the people who run this in production Prompts → Agents → Loops → Graphs most people keep stuffing instructions into one agent, and the real upgrade is one layer up same model, same tokens, and the only thing that changes is the shape you run it in watch it today, then save the full graph engineering guide below

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27,608 просмотров • 1 месяц назад

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that can build itself: 0% → 10:16 - build your first AI agent 25% → 41:05 - master prompt engineering 50% → 54:45 - turn agents into graphs 75% → 1:20:10 - run loops inside agent graphs 100% → 1:43:33 - build a graph that builds itself Most people build one agent and stop there. Google is teaching everything that comes after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read how to run 1,000 agents from one prompt below ↓

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Lunar

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