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Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents...

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codila

17,744 subscribers

535,338 次观看 • 1 个月前 •via X (Twitter)

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36 条评论

bodila 的头像
bodila1 个月前

what a brilliant material broski 2 hours workshop from 0, saved!

codila 的头像
codila1 个月前

ye, and this is suitable for both beginners and professionals thank you for supp

Virgil Maro 的头像
Virgil Maro1 个月前

the system that works while you sleep also fails while you sleep. ask me how i know

Fiction 的头像
Fiction1 个月前

saved. the graph engineering section alone is worth it

codila 的头像
codila1 个月前

huh, for now it's most hype and most useful tecnology so everyone should know how to use it

Rickygu 的头像
Rickygu1 个月前

Do you have a YouTube link?

lagerskoy 的头像
lagerskoy1 个月前

Two hours from one prompt to full agent graphs is a pretty solid free course

codila 的头像
codila1 个月前

it is, absloutely worth to watch!

Invincible 的头像
Invincible25 天前

I love Annie Wang ♥️ ❤️

Johnny Suede 的头像
Johnny Suede1 个月前

The graph section is the one to slow down on. Most teams get agent teams running and then find the hard problem was never orchestration, it was deciding what each node is allowed to see.

Blum 的头像
Blum1 个月前

great video. love having timestamps to jump around

Invincible 的头像
Invincible25 天前

Can anyone tell me Annie Wang's X I'd. Please

Alex 的头像
Alex1 个月前

what a useful piece of material, thanks Codila

Chau Tuanminh 的头像
Chau Tuanminh1 个月前

where is this from? can I get exact link

Gela Khubutia 的头像
Gela Khubutia1 个月前

She is too cute to listen what she’s saying

Dima Glushakov 的头像
Dima Glushakov1 个月前

codila this is exactly right. most people stop at one agent, but the orchestration and graph parts are where things get autonomous. I saw Google's recent AI agents intensive pulled 1.5M learners, so the appetite for this is real.

M 的头像
M1 个月前

Why the f would I ever want 1000 agents to run?

Ahmedrana 的头像
Ahmedrana1 个月前

Where it's link

Pato21Dev 的头像
Pato21Dev1 个月前

No crees que el uso de muchos agentes consume mas tokens? Actualmente tengo estos agentes y creo que consumo aumento backend-engineer.md domain-logic.md qa.md orchestrator.md frontend-engineer.md security-auditor.md

Wei佳 的头像
Wei佳1 个月前

A two-hour course is useful when it teaches the whole loop: define the task, give the agent tools, inspect the trace, and recover from failure. The architecture matters more than memorizing another framework name.

Terry 的头像
Terry1 个月前

Thanks for sharing.

Olamide Balogun 的头像
Olamide Balogun1 个月前

Who's gonna pay for da tokens

Zack | OpenClaw + Hermes 的头像
Zack | OpenClaw + Hermes1 个月前

This is what I'm looking for. Thanks

Sumeet 的头像
Sumeet1 个月前

For everyone asking -

John 的头像
John1 个月前

They will depreciate it soon. don’t worry.

Twixy 的头像
Twixy1 个月前

After this course, can you actually build a system that runs 24/7 without you, or do you still have to constantly fix it?

Carie Strong (✸,✸) 的头像
Carie Strong (✸,✸)1 个月前

@0xSwaroski

wearzdk 的头像
wearzdk1 个月前

Agents need a safe last mile: publish on the user's logged-in machine, not a shared cloud session. PublishPort:

ViceSol 的头像
ViceSol1 个月前

The progression makes sense. Single agents are useful, but orchestration, tools, and evaluation are what turn them into reliable systems

MY MISERABLE MIND 的头像
MY MISERABLE MIND1 个月前

bro , thoda ruko yrrrr , abhi to loop aaya tha . thoda toh wait kar lo

bfrench 的头像
bfrench1 个月前

I just did the equivalent of this process in a few minutes of in Claude. What am I missing?

JP Zhang 的头像
JP Zhang1 个月前

Do you have youtube link for this? Thx

Arham Jain 的头像
Arham Jain1 个月前

Please paste the video link.

Michael Franklin MBOUOPDA 的头像
Michael Franklin MBOUOPDA1 个月前

@grok is this video from Google ?

Habibullah Khan 的头像
Habibullah Khan1 个月前

They’re behind in the AI race.

ISAAC CHILONGO 的头像
ISAAC CHILONGO1 个月前

how do i get access to the full course

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