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Free 3-hour course from an ex-Google engineer. AI agents, graph engineering, harness, agent loops. Covers more than most $500 paid courses. This is the exact playbook to learn how to actually build and monetize AI agents. Don't miss your shot, save it now. • 0:00 - Design an AI...

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144,855 görüntüleme • 3 ay önce •via X (Twitter)

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32 Yorum

Ricker profil fotoğrafı
Ricker3 ay önce

this dude always share alpha

unicode profil fotoğrafı
unicode3 ay önce

i agree. he's one of many who explains things concisely and clearly, without beating around the bush

ieatded profil fotoğrafı
ieatded3 ay önce

FREE ? 3-HOURS ? bro you are the best !

broke boy profil fotoğrafı
broke boy3 ay önce

this 3-hour course covers building, graphing, and monetizing AI agents from scratch

unicode profil fotoğrafı
unicode3 ay önce

if you're not a beginner and want to make money and grow in this field = the best 3 hours to do so

monokern profil fotoğrafı
monokern3 ay önce

this 3-hours video rly worth watchin

unicode profil fotoğrafı
unicode3 ay önce

i completely agree. the real-world exp of an engineer that can be turned into income

ALEXYZ profil fotoğrafı
ALEXYZ3 ay önce

Rarely does free agent training feel this substantial.

Gipp 🦅 profil fotoğrafı
Gipp 🦅3 ay önce

Is this really a former engineer?

0xbobaa profil fotoğrafı
0xbobaa3 ay önce

How many parts are there in this course?

unicode profil fotoğrafı
unicode3 ay önce

9, these are different topics, and they complement each other very well

Fluixo profil fotoğrafı
Fluixo3 ay önce

sounds like a good resource thanks for sharing

Daniel Smidstrup profil fotoğrafı
Daniel Smidstrup3 ay önce

too many good topics for one course :D

unicode profil fotoğrafı
unicode3 ay önce

i was able to briefly explain all the topics. which one interests you the most?

Anjali profil fotoğrafı
Anjali3 ay önce

Could you share the course link

unicode profil fotoğrafı
unicode3 ay önce

this is a compilation of various videos from him. i've combined them into a single video with timecodes

meta physika profil fotoğrafı
meta physika3 ay önce

this is the OG creator @ShenSeanChen and all his videos

AI Mastery Guide profil fotoğrafı
AI Mastery Guide3 ay önce

Three hours of free content covering that much is genuinely rare.

unicode profil fotoğrafı
unicode3 ay önce

i'm glad you came across this. are you going to watch it, or have you already watched it?

AI Mastery Guide profil fotoğrafı
AI Mastery Guide3 ay önce

Saved it, going through it properly this weekend.

יוסי profil fotoğrafı
יוסי3 ay önce

Summerize that @grok

Peter MOUEZA🇲🇫 profil fotoğrafı
Peter MOUEZA🇲🇫3 ay önce

Graph

sindikitil profil fotoğrafı
sindikitil3 ay önce

Free and better than most $500 courses? that's the flex. Agent loops are the part everyone skips until it breaks.

Sangam Ghosh profil fotoğrafı
Sangam Ghosh3 ay önce

@grok What's the name of the creator of this video?

Alex profil fotoğrafı
Alex3 ay önce

this is really alpha video

beamnxw ./ profil fotoğrafı
beamnxw ./3 ay önce

this one's actually worth watching

biektropic profil fotoğrafı
biektropic3 ay önce

every free ai course apparently ends with $2k a month by the last chapter

Michael Tierney profil fotoğrafı
Michael Tierney3 ay önce

The article doesnt mention how the graph is represented or queried in the agent loop. Without a clear data model, even a simple graph can become a complexity sink for an agent.

Movez profil fotoğrafı
Movez3 ay önce

top tier watch !

Un principe de Dios profil fotoğrafı
Un principe de Dios3 ay önce

Pues si pero tampoco da certificado los 500dlls son por el papel no el curso

Phosphen profil fotoğrafı
Phosphen3 ay önce

no way this should be public, that's some crazy good info!

I find Discounts & coupons for you profil fotoğrafı
I find Discounts & coupons for you3 ay önce

design an ai agent usinng python and graph databases for efficieent data management

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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 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓

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Google Engineers just dropped a 1-hour course on agentic engineering from scratch: 0% - 00:00 – How to build your first AI agent 25% - 08:24 – Build agent memory (short, persistent, long) 50% - 28:34 – Agentic loops, long-running AI agents 100% - 1:00:22 – Multi-agentic systems This 1-hour guide will replace 10 paid agentic courses on the internet. Watch it today, then read how to run multiple agents in the article below.

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Google has released a free 1-hour course on AI engineering, covering everything from building your first AI agent to creating fully autonomous systems. 7:02 — Build your first AI agent 13:34 — Explore what AI agents can do 23:08 — Learn context engineering 32:56 — Understand graph engineering 54:11 — Create a fully autonomous system One agent can save hours of work. Multiple agents can completely change how a team operates. Prompts → Agents → Loops → Graphs Most people focus on prompts, but the real power comes from building AI systems that can think, act, and improve through structured workflows. Same models. Same tokens. Better systems. Better results. Watch the full course and save it for later. The complete guide to loops and graphs is below. 👇

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Google dropped a free 2 hour course on full graph engineering, taking you from a single prompt to a hundred agents wired into loops and graphs 17:44 – Building your first agent 39:30 – Loop engineering, iterate, check, break 1:12:38 – Graph engineering 1:34:26 – Agents that throttle themselves 1:55:05 – Full graph for multi agentic systems Most people build a single agent and stop there. This course shows the full system, where agents wire themselves into a graph on their own Watch it today, then check out the graph engineering playbook below for a deeper breakdown

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