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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...

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Mahax

11,492 subscribers

145,053 次观看 • 1 个月前 •via X (Twitter)

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15 条评论

ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ 的头像
ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️1 个月前

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.

급여노동자에서자산소유자로 的头像
급여노동자에서자산소유자로1 个月前

Who is she?

Kevin Mitton 的头像
Kevin Mitton1 个月前

Could you share the link to the Google course?

kadd 的头像
kadd1 个月前

A free course covering all of this is honestly nice

luan au 的头像
luan au1 个月前

Automation making use of AI language models?

✘ 的头像
✘1 个月前

Graphs is just UML.

Joel Loh 的头像
Joel Loh1 个月前

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

Ricker 的头像
Ricker1 个月前

really useful stuf bro

Neo 的头像
Neo1 个月前

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

Obvious Mafunga 的头像
Obvious Mafunga1 个月前

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

Webster | JARVIS 的头像
Webster | JARVIS1 个月前

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

magsimich 的头像
magsimich1 个月前

graph engineering is the meta

David Starmac Ai 的头像
David Starmac Ai1 个月前

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.

LEX 的头像
LEX1 个月前

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

RemoteBrowser 的头像
RemoteBrowser1 个月前

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

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This is the best 1 hour on graph engineering ever recorded, just released by Google how to go from a single agent to a full 24/7 system from scratch: 00:00 - what graphs actually are 09:16 - your first working agent 21:15 - graph engineering explained 41:03 - graph engineering in practice 52:21 - graphs that improve themselves I've seen $500 courses that teach less than this video alone. Watch it, then take it further with my step-by-step guide on graph engineering below.
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This is the best 1 hour on graph engineering ever recorded, just released by Google how to go from a single agent to a full 24/7 system from scratch: 00:00 - what graphs actually are 09:16 - your first working agent 21:15 - graph engineering explained 41:03 - graph engineering in practice 52:21 - graphs that improve themselves I've seen $500 courses that teach less than this video alone. Watch it, then take it further with my step-by-step guide on graph engineering below.

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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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1:25:29

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

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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
1:27:26

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 次观看 • 1 个月前

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 ↓
1:55:41

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 ↓

Lunar

44,889 次观看 • 1 个月前